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1
+ Questions,Type ,Role
2
+ How would you calculate the median in SQL?,Technical,Data Scientist
3
+ How would you handle missing values in a dataset using SQL?,Technical,Data Scientist
4
+ What's the difference between using a UNION and a UNION ALL in SQL?,Technical,Data Scientist
5
+ How do you find the third highest mountains in MX and USA?,Technical,Data Scientist
6
+ How do you find the total revenue generated by each genre in the year 2022?,Technical,Data Scientist
7
+ How do you find the earliest bid_id for each customer?,Technical,Data Scientist
8
+ How do you improve the performance of a Python script?,Technical,Data Scientist
9
+ How you would implement a machine learning model in Python?,Technical,Data Scientist
10
+ "What are decorators in Python, and how would you use them?",Technical,Data Scientist
11
+ Explain the significance of the p-value in hypothesis testing.,Technical,Data Scientist
12
+ How would you use linear regression to predict future trends?,Technical,Data Scientist
13
+ What is Bayesian's Theorem and how is it applied in data science?,Technical,Data Scientist
14
+ How can the Central Limit Theorem be used in data analysis?,Technical,Data Scientist
15
+ You are given a data set that contains information about when users click on ads. How would you use this data to optimize ad campaigns?,Technical,Data Scientist
16
+ You are given a data set that contains transaction data from an eCommerce website. How would you use this data to increase conversion rates?,Technical,Data Scientist
17
+ "Given a data set, how would you find the most important factors contributing to customerchurn?",Technical,Data Scientist
18
+ How would you develop a pricing strategy for Friday night rides for a rideshare app?,Technical,Data Scientist
19
+ How would you investigate if teenagers are leaving Facebook because their parents are joining?,Technical,Data Scientist
20
+ How do you create a dashboard to monitor customer usage and engagement?,Technical,Data Scientist
21
+ How can customer satisfaction be measured using Google Maps data?,Technical,Data Scientist
22
+ What approach would you take to analyze usage patterns and improve engagement on Yelp?,Technical,Data Scientist
23
+ How would you develop a machine learning model to predict whether or not a customer will purchase a product?,Technical,Data Scientist
24
+ What is a decision tree?,Technical,Data Scientist
25
+ How would you use a decision tree to predict whether or not a customer will churn?,Technical,Data Scientist
26
+ What is gradient boosting?,Technical,Data Scientist
27
+ How would you use gradient boosting to improve the accuracy of a machine learning model?,Technical,Data Scientist
28
+ What is the difference between supervised and unsupervised learning?,Technical,Data Scientist
29
+ "What is a convolutional neural network (CNN), and how is it applied in image recognition tasks?",Technical,Data Scientist
30
+ How would you handle overfitting in a machine-learning model?,Technical,Data Scientist
31
+ How would you evaluate the performance of a machine learning model?,Technical,Data Scientist
32
+ What is the difference between bagging and boosting algorithms?,Technical,Data Scientist
33
+ How would you handle imbalanced datasets in machine learning?,Technical,Data Scientist
34
+ "What is hypothesis testing, and how would you approach it for a dataset?",Technical,Data Scientist
35
+ "What are confidence intervals, and how do they relate to hypothesis testing?",Technical,Data Scientist
36
+ What is the difference between Type I and Type II errors in hypothesis testing?,Technical,Data Scientist
37
+ How would you perform hypothesis testing for comparing two population means?,Technical,Data Scientist
38
+ "What is ANOVA (Analysis of Variance), and when is it used in statistical analysis?",Technical,Data Scientist
39
+ How would you design a recommendation system for an e-commerce platform like Amazon?,Technical,Data Scientist
40
+ "Suppose you are tasked with improving user engagement on a social media platform. What metrics would you consider, and how would you measure success?",Technical,Data Scientist
41
+ How would you design a pricing model for a subscription-based service like Netflix?,Technical,Data Scientist
42
+ Imagine you are tasked with improving the search functionality of a search engine like Google. How would you approach this challenge?,Technical,Data Scientist
43
+ How would you measure the impact and success of a new feature release in a mobile app?,Technical,Data Scientist
44
+ Suppose you are tasked with improving the user onboarding process for a software platform. How would you approach this?,Technical,Data Scientist
45
+ How would you prioritize and manage multiple concurrent data science projects with competing deadlines?,Technical,Data Scientist
46
+ Suppose you are asked to design a fraud detection system for an online payment platform. How would you approach this task?,Technical,Data Scientist
47
+ How would you handle missing data in a dataset during the analysis process?,Technical,Data Scientist
48
+ "What are regularization techniques, and how do they help prevent overfitting in machine learning models?",Technical,Data Scientist
49
+ "What is the curse of dimensionality in machine learning, and how does it affect model performance?",Technical,Data Scientist
50
+ What is the difference between supervised and unsupervised learning algorithms?,Technical,Data Scientist
51
+ " What is cross-validation, and why is it important in evaluating machine learning models?",Technical,Data Scientist
52
+ Tell me about when you had to solve a complex problem in your previous role. How did you approach it?,Technical,Data Scientist
53
+ Describe a situation where you had to work on a project with a tight deadline. How did you manage your time and deliver the results?,Technical,Data Scientist
54
+ Can you share an experience when you faced a disagreement or conflict within a team? How did you handle it?,Technical,Data Scientist
55
+ Tell me about when you had to adapt to a significant project or work environment change. How did you handle it?,Technical,Data Scientist
56
+ Describe a situation where you had to work with a challenging team member or stakeholder. How did you handle it?,Technical,Data Scientist
57
+ Can you share an experience where you had to make a difficult decision based on limited information or under time pressure?,Technical,Data Scientist
58
+ Describe a situation where you had to manage multiple tasks simultaneously. How did you prioritize and ensure timely completion?,Technical,Data Scientist
59
+ What Is the Google Data Scientist Interview Process Like?,Technical,Data Scientist
60
+ How to Stand Out in Google Data Scientist Interviews?,Technical,Data Scientist
61
+ What do you understand by supervised and unsupervised machine learning?,Technical,Data Scientist
62
+ What is the difference between the bagged model and boosted model?,Technical,Data Scientist
63
+ How would you differentiate between K-mean and EM?,Technical,Data Scientist
64
+ How would you encode a categorical variable with thousands of distinct values?,Technical,Data Scientist
65
+ What steps will you take to design and build the recommendation algorithm for a type-ahead search for Google?,Technical,Data Scientist
66
+ What methods would you use to detect anomalies in AI?,Technical,Data Scientist
67
+ What do you understand about the Rectified Linear Unit in Machine Learning?,Technical,Data Scientist
68
+ What is the AdaGrad algorithm in Machine Learning?,Technical,Data Scientist
69
+ What is AUC? What are evaluation metrics in AI and Machine Learning?,Technical,Data Scientist
70
+ What are the applications of Feature Selection in AI?,Technical,Data Scientist
71
+ "There are 20 pink and 20 white balls in a box. There is another box with 40 pinks and 40 white balls. If you have to pick two balls at random from any one of the two boxes, which box has the higher probability of satisfying your requirements?",Technical,Data Scientist
72
+ What are the steps to test the applicability of the Gaussian mixture model?,Technical,Data Scientist
73
+ How would you simulate a bivariate normal?,Technical,Data Scientist
74
+ How can you derive the variance of a distribution?,Technical,Data Scientist
75
+ How can you build estimators for medians?,Technical,Data Scientist
76
+ What do you understand about a probability distribution that is not normal? How would you apply it?,Technical,Data Scientist
77
+ "For highly correlated two predictors, what are the confidence intervals of the coefficients? How would that affect the coefficients in the logistic regression?",Technical,Data Scientist
78
+ Differentiate K-mean and Gaussian mixture models?,Technical,Data Scientist
79
+ How to assess if a given coin is biased? What do the p-values in high dimensional linear regression tell you?,Technical,Data Scientist
80
+ What is the derivative of 1/x?,Technical,Data Scientist
81
+ If you have ten coins and you toss each coin ten times. Would you change your approach to the way you assess the fairness of coins?,Technical,Data Scientist
82
+ What steps help remove bias in A/B Testing?,Technical,Data Scientist
83
+ How could you test if a metric has increased on a change you made in a Google app?,Technical,Data Scientist
84
+ How do you detect inappropriate content on YouTube?,Technical,Data Scientist
85
+ How would you evaluate if upgrading the android app enhances searches?,Technical,Data Scientist
86
+ How to design a customer satisfaction survey?,Technical,Data Scientist
87
+ How would you account for users' likes on videos?,Technical,Data Scientist
88
+ What Data Science-based product will you build for Google and why?,Technical,Data Scientist
89
+ Why would you choose GBM over logistic regression?,Technical,Data Scientist
90
+ How can NoSQL databases be better than SQL databases?,Technical,Data Scientist
91
+ What procedure will you follow to resolve the issue of bias in case of removal of missing values from a database?,Technical,Data Scientist
92
+ How will you test the changes you have made to a mobile app for a business firm?,Technical,Data Scientist
93
+ What is caching in Data Science? Explain how it works.,Technical,Data Scientist
94
+ What do you understand about Hadoop architecture?,Technical,Data Scientist
95
+ What are the methods and techniques for anomaly detection?,Technical,Data Scientist
96
+ How do you think Data Science can contribute to Smart City development?,Technical,Data Scientist
97
+ How do you prioritize tasks when working on many different projects?,Technical,Data Scientist
98
+ How do you complete multiple projects under tight time constraints?,Technical,Data Scientist
99
+ What career goals doyou have? How do you plan to achieve them?,Technical,Data Scientist
100
+ Do you have a favorite Google product? What do you love about it?,Technical,Data Scientist
101
+ Describe a time when a project you were working on wasn't successful. What did you learn?,Technical,Data Scientist
102
+ How would you handle an uncooperative co-worker?,Technical,Data Scientist
103
+ What is the best way to maintain a work-life balance?,Technical,Data Scientist
104
+ What makes you interested in this Data Scientist position at Google?,Technical,Data Scientist
105
+ What is it about Google's culture that you like the most?,Technical,Data Scientist
106
+ What training programs are available to yourdata scientists?,Technical,Data Scientist
107
+ Where have successfuldata scientistspreviously in this position progressed to?,Technical,Data Scientist
108
+ What metrics will my performance be evaluated against?,Technical,Data Scientist
109
+ Can you tell me about the team I'll be working with?,Technical,Data Scientist
110
+ Is there anything I can provide that would be helpful?,Technical,Data Scientist
111
+ What Is the Google Data Scientist Interview Process Like?,Technical,Data Scientist
112
+ How to Stand Out in Google Data Scientist Interviews?,Technical,Data Scientist
113
+ What do you understand by supervised and unsupervised machine learning?,Technical,Data Scientist
114
+ What is the difference between the bagged model and boosted model?,Technical,Data Scientist
115
+ How would you differentiate between K-mean and EM?,Technical,Data Scientist
116
+ How would you encode a categorical variable with thousands of distinct values?,Technical,Data Scientist
117
+ What steps will you take to design and build the recommendation algorithm for a type-ahead search for Google?,Technical,Data Scientist
118
+ What methods would you use to detect anomalies in AI?,Technical,Data Scientist
119
+ What do you understand about the Rectified Linear Unit in Machine Learning?,Technical,Data Scientist
120
+ What is the AdaGrad algorithm in Machine Learning?,Technical,Data Scientist
121
+ What is AUC? What are evaluation metrics in AI and Machine Learning?,Technical,Data Scientist
122
+ What are the applications of Feature Selection in AI?,Technical,Data Scientist
123
+ "There are 20 pink and 20 white balls in a box. There is another box with 40 pinks and 40 white balls. If you have to pick two balls at random from any one of the two boxes, which box has the higher probability of satisfying your requirements?",Technical,Data Scientist
124
+ What are the steps to test the applicability of the Gaussian mixture model?,Technical,Data Scientist
125
+ How would you simulate a bivariate normal?,Technical,Data Scientist
126
+ How can you derive the variance of a distribution?,Technical,Data Scientist
127
+ How can you build estimators for medians?,Technical,Data Scientist
128
+ What do you understand about a probability distribution that is not normal? How would you apply it?,Technical,Data Scientist
129
+ "For highly correlated two predictors, what are the confidence intervals of the coefficients? How would that affect the coefficients in the logistic regression?",Technical,Data Scientist
130
+ Differentiate K-mean and Gaussian mixture models?,Technical,Data Scientist
131
+ How to assess if a given coin is biased? What do the p-values in high dimensional linear regression tell you?,Technical,Data Scientist
132
+ What is the derivative of 1/x?,Technical,Data Scientist
133
+ If you have ten coins and you toss each coin ten times. Would you change your approach to the way you assess the fairness of coins?,Technical,Data Scientist
134
+ What steps help remove bias in A/B Testing?,Technical,Data Scientist
135
+ How could you test if a metric has increased on a change you made in a Google app?,Technical,Data Scientist
136
+ How do you detect inappropriate content on YouTube?,Technical,Data Scientist
137
+ How would you evaluate if upgrading the android app enhances searches?,Technical,Data Scientist
138
+ How to design a customer satisfaction survey?,Technical,Data Scientist
139
+ How would you account for users' likes on videos?,Technical,Data Scientist
140
+ What Data Science-based product will you build for Google and why?,Technical,Data Scientist
141
+ Why would you choose GBM over logistic regression?,Technical,Data Scientist
142
+ How can NoSQL databases be better than SQL databases?,Technical,Data Scientist
143
+ What procedure will you follow to resolve the issue of bias in case of removal of missing values from a database?,Technical,Data Scientist
144
+ How will you test the changes you have made to a mobile app for a business firm?,Technical,Data Scientist
145
+ What is caching in Data Science? Explain how it works.,Technical,Data Scientist
146
+ What do you understand about Hadoop architecture?,Technical,Data Scientist
147
+ What are the methods and techniques for anomaly detection?,Technical,Data Scientist
148
+ How do you think Data Science can contribute to Smart City development?,Technical,Data Scientist
149
+ How would you forecast a brand's sales?,Technical,Data Scientist
150
+ Is it good to apply bootstrapping on samples to increase your sample size?,Technical,Data Scientist
151
+ Given 3 coin tosses of a fair coin results in Heads. What is the probability that the 4th coin toss will also result in a Head?,Technical,Data Scientist
152
+ When do you use mean vs median?,Technical,Data Scientist
153
+ "Write a function that draws N samples from a population with mean = 0, SD = 1 and plot the histogram.",Technical,Data Scientist
154
+ "Given a list of numbers, calculate the sum of the odd numbers in the sequence of 100 numbers (I.e. sum(1st, 3rd, 5th � Nth number for in sequence ).)",Technical,Data Scientist
155
+ "Talk about a data science project you�ve worked on, and your contribution.",Technical,Data Scientist
156
+ What�s the probability of a type 1 error? What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it affect type 1 errors?,Technical,Data Scientist
157
+ "Suppose you are tasked with improving the user engagement of a mobile app. What metrics would you consider to measure engagement, and why?",Technical,Data Scientist
158
+ Write a code to implement a hash table in Python.,Technical,Data Scientist
159
+ Write a code to invert a binary tree in a programming language of your choice.,Technical,Data Scientist
160
+ How will you generate a matrix that follows Bernoulli distribution in python? Divide each element of the matrix with the sum of columns.,Technical,Data Scientist
161
+ "Explain what is meant by the terms ""parametric"" and ""non-parametric"" in statistics, and describe the key differences between these two approaches?",Technical,Data Scientist
162
+ "If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?",Technical,Data Scientist
163
+ "If the labels are known in a clustering project, how would you evaluate the performance of the model?",Technical,Data Scientist
164
+ What is the difference between K-means and the Expectation-Maximization (EM) algorithm?,Technical,Data Scientist
165
+ How to determine if a Gaussian mixture model is an appropriate choice for modeling a given data set?,Technical,Data Scientist
166
+ "How would you design an A/B test to compare the effectiveness of two product campaigns, given data on their performance and a goal of detecting a 3% increase in effectiveness?",Technical,Data Scientist
167
+ "Describe how you would make inferences from the data collected in an A/B test, including estimating the difference in campaign effectiveness and assessing the significance of the results?",Technical,Data Scientist
168
+ What do you understand by precision and recall? What are the caveats to using these metrics?,Technical,Data Scientist
169
+ "You are working with the PM of Google Meet, who wants to roll out a new set of buttons on the UX. What advice would you give them in order to make sure they make good decisions? What metrics would you recommend tracking to assess success?",Technical,Data Scientist
170
+ You have a google app and you make a change. How do you test if a metric has increased or not?,Technical,Data Scientist
171
+ How would you compare if upgrading the Android system produces more searches?,Technical,Data Scientist
172
+ "Explain LASSO RIDGE, Research Paper, Optimization etc",Technical,Data Scientist
173
+ How would you find the top 5 highest-selling items from a list of order histories?,Technical,Data Scientist
174
+ How to evaluate the deer population density in one national park?,Technical,Data Scientist
175
+ What is standard error of the mean?,Technical,Data Scientist
176
+ Implement Rejection sampling.,Technical,Data Scientist
177
+ How can you tell if a given coin is biased?,Technical,Data Scientist
178
+ "Why use feature selection? If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?",Technical,Data Scientist
179
+ How could you do A/B test if we see a 3% increase for the product?,Technical,Data Scientist
180
+ What is the assumption of error in linear regression?,Technical,Data Scientist
181
+ K- mean and Gaussian mixture model: what is the difference between K-mean and EM?,Technical,Data Scientist
182
+ How to decided k in kmeans?,,Data Scientist
183
+ "You are at a Casino and have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected payout?",,Data Scientist
184
+ "�You are about to get on a plane to London, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it�s raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in London.",,Data Scientist
185
+ "�How would add new Facebook members to the database of members, and code their relationships to others in the database?",,Data Scientist
186
+ �How will you test that there is an increased probability of a user staying active after 6 months given that a user has more friends now?,,Data Scientist
187
+ "�You are given 40 cards with four different colors- 10 Green cards, 10 Red Cards, 10 Blue cards, and 10 Yellow cards. The cards of each color are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of the same number and same color.",,Data Scientist
188
+ �Create a program in a language of your choice to read a text file with various tweets. The output should be 2 text files-one that contains the list of all unique words among all tweets along with the count for repeated words and the second file should contain the medium number of unique words for all tweets.,,Data Scientist
189
+ �What will you do if removing missing values from a dataset causes bias?,,Data Scientist
190
+ �A disc is spinning on a spindle and you don�t know the direction in which way the disc is spinning. You are provided with a set of pins. How will you use the pins to describe in which way the disc is spinning?,,Data Scientist
191
+ How will you design a recommendation engine for jobs?,,Data Scientist
192
+ �What kind of product do you want to build at Google?,,Data Scientist
193
+ �Cars are implanted with a speed tracker so that the insurance companies can track our driving state. Based on this new scheme what kind of business questions can be answered?,,Data Scientist
194
+ �How can you decide if one algorithm is better than the other?,,Data Scientist
195
+ "�A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of the same color and why?",,Data Scientist
196
+ �What is the difference between a bagged model and a boosted model?,,Data Scientist
197
+ "�You are creating a report for user content uploads every month and observe a sudden increase in the number of uploads for the month of January. The increase in uploads is, particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?",,Data Scientist
198
+ �You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level?,,Data Scientist
199
+ �How will you decide which versions of the two of the Surge Pricing Algorithms is working better for any Aviation Company?,,Data Scientist
200
+ �What is the degree of freedom for lasso?,,Data Scientist
201
+ "�What is the difference between an iterator, generator and list comprehension in Python?",,Data Scientist
202
+ "Given a set of webpages and changes on the website, how will you test the new website feature to determine if the change works positively?",,Data Scientist
203
+ "Given an MxN dimension matrix with each cell containing an alphabet, find if a string is contained in it or not.",,Data Scientist
204
+ How will you build a caching system using an advanced data structure like hashmap?,,Data Scientist
205
+ "If you could get the dataset on any topic of interest, irrespective of the collection methods or resources then how would the dataset look like and what will you do with it?",,Data Scientist
206
+ What are anomaly detection methods?,,Data Scientist
207
+ How does caching work and how do you use it in Data Science?,,Data Scientist
208
+ "You are given a database containing customer orders. The database currently has redundant and repetitive data, leading to inconsistency and excess storage usage. Explain how you would apply�normalization techniques�to this database. What specific steps would you take to achieve�Third Normal Form (3NF)? Provide example tables before and after normalization.",,Data Scientist
209
+ "In the context of database systems, explain the different kinds of schemas that could be used. Provide examples of each schema type to illustrate their use.",,Data Scientist
210
+ Explain what�machine learning�is and how it helps us to�train data. Include examples of different types of machine learning and their typical applications.,,Data Scientist
211
+ When is it appropriate to use�mean�versus�median�in data analysis? Provide specific examples where one measure may be preferred over the other.,,Data Scientist
212
+ What type of SQL joins do you know?,,Data Scientist
213
+ What is OLAP and what are its differences compared to other database types?,,Data Scientist
214
+ What is Big Data and what is Hadoop used for?,,Data Scientist
215
+ How will you build a patent system?,,Data Scientist
216
+ How many websites are on the internet? How would you find out the number?,,Data Scientist
217
+ How do you apply data structures and algorithms in data analytics?,,Data Scientist
218
+ How would you approach finding a needle in a haystack?,,Data Scientist
219
+ Can you tell me about yourself?,,Data Scientist
220
+ "Do you know and use r, python, sql, pandas, and numpy?",,Data Scientist
221
+ Please define the term 'data wrangling' in the context of data analytics?,,Data Scientist
222
+ Questions,Type,,Role
223
+ How would you optimize Amazon's recommendation system to improve customer engagement and increase sales?,ML,,Data Scientist
224
+ Explain how you would leverage machine learning to enhance Amazon's fraud detection capabilities and ensure a secure online shopping experience for customers.,ML,,Data Scientist
225
+ Amazon handles vast amounts of data. Can you discuss a scalable approach to analyzing this data and extracting valuable insights using machine learning techniques?,ML,,Data Scientist
226
+ "Describe how you would use machine learning to optimize Amazon's supply chain management, ensuring timely delivery and minimizing costs.",ML,,Data Scientist
227
+ Amazon is known for its customer-centric approach. How would you utilize machine learning to personalize the shopping experience for each customer and increase customer satisfaction and loyalty?,ML,,Data Scientist
228
+ How would you use Python to efficiently parse and analyze large log files generated by Amazon Web Services (AWS) services?,ML,,Data Scientist
229
+ "Can you explain the difference between list comprehension and generator expressions in Python? When would you use each one, and why?",ML,,Data Scientist
230
+ Amazon operates on a massive scale. How would you design a Python script to automate the process of deploying and managing resources on AWS using the Boto3 library?,ML,,Data Scientist
231
+ "In a distributed system like Amazon's, how would you approach handling concurrency and parallelism in Python to optimize performance?",ML,,Data Scientist
232
+ "Write a function to get the intersection of two lists: For example, if A = [1, 2, 3, 4, 5], and B = [0, 1, 3, 7] then you should return [1, 3].",ML,,Data Scientist
233
+ How would you design and interpret an A/B test to evaluate the effectiveness of a new feature on Amazon's website?,ML,,Data Scientist
234
+ Amazon deals with large datasets. Can you discuss a statistical approach to identify trends and patterns in customer behavior data to improve marketing strategies?,ML,,Data Scientist
235
+ "Describe the process of designing a statistical model to predict product demand for Amazon's inventory management system. What factors would you consider, and how would you validate the model?",ML,,Data Scientist
236
+ Amazon aims to optimize its delivery network. How would you use statistical methods to analyze delivery times and identify areas for improvement?,ML,,Data Scientist
237
+ Amazon values customer satisfaction. Can you propose a statistical approach to analyze customer feedback data and prioritize areas for product and service enhancements?,ML,,Data Scientist
238
+ Write a SQL code to explain month to month user retention rate.,SQL,,Data Scientist
239
+ Describe different JOINs in SQL.,SQL,,Data Scientist
240
+ What is the most advanced query you’ve ever written?,SQL,,Data Scientist
241
+ "Given a table with three columns, (id, category, value) and each id has 3 or less categories (price, size, color); how can you find those id's for which the value of two or more categories matches one another? ",SQL,,Data Scientist
242
+ "I have table 1, with 1million records, with ID, AGE (column names) , Table 2 with 100 records with ID and Salary, and the following script. How many records would be returned?",SQL,,Data Scientist
243
+ "SELECT A.ID,A.AGE,B.SALARY",SQL,,Data Scientist
244
+ FROM TABLE 1 A,SQL,,Data Scientist
245
+ LEFT JOIN,SQL,,Data Scientist
246
+ TABLE 2 B,SQL,,Data Scientist
247
+ ON A.ID = B.ID,SQL,,Data Scientist
248
+ +,SQL,,Data Scientist
249
+ WHERE B.SALARY > 50000,SQL,,Data Scientist
250
+ "Given a csv file with ID and Quantity columns, 50million records, and the size of the data is 2gig, write a program to aggregate the QUANTITY column.",SQL,,Data Scientist
251
+ Write a python code for recognizing if entries to a list have the same characters or not. Then what is the computational complexity of it?,SQL,,Data Scientist
252
+ You have an array of integers and you want to find a certain element; what effective algorithm would you use and what is the efficiency of it?,SQL,,Data Scientist
253
+ "For a long sorted list and a short (4 element) sorted list, what algorithm would you use to search the long list for the 4 elements?",SQL,,Data Scientist
254
+ "Given an unfair coin with the probability of heads not equal to .5, what algorithm could you use to create a list of random 1s and 0s?",SQL,,Data Scientist
255
+ "Given a bar plot, imagine you are pouring water from the top. How do you qualify how much water can be kept in the bar chart? ",SQL,,Data Scientist
256
+ Write a Python function that displays the first n Fibonacci numbers.,SQL,,Data Scientist
257
+ "Suppose you have a list of strings, each of which is an English sentence. # Output a dictionary out_dict that maps a key n to the list of words that occur in n different sentences. # E.g. # Input: str_list = [ “The cat ate the fish”, “The cat saw the roses”, “The roses are red” ]",,DSA,Data Scientist
258
+ "If given an integer n and an array of numbers, give out the histogram divided into n bins.",DSA,,Data Scientist
259
+ How would you improve a classification model that suffers from low precision?,DSA,,Data Scientist
260
+ "We have two models, one with 85% accuracy, one 82%. Which one do you pick?",DSA,,Data Scientist
261
+ "When you have time series data by month, and it has large data records, how will you find significant differences between this month and previous month?",Technical,,Data Scientist
262
+ How do you inspect missing data and when are they important?,Technical,,Data Scientist
263
+ "Assume you have a file containing data in the form of data = [{""one"":a1, ""two"":b1,...},{""one"":a2, ""two"":b2,...},{""one"":a3, ""two"":b3,...},...] How could you split this data into 30% test and 70% train data?",Technical,,Data Scientist
264
+ How do you interpret logistic regression?,Technical,,Data Scientist
265
+ How does dropout work?,Technical,,Data Scientist
266
+ What is L1 vs L2 regularization?,Technical,,Data Scientist
267
+ What is the difference between bagging and boosting?,Technical,,Data Scientist
268
+ Explain in detail how a 1D CNN works.,Technical,,Data Scientist
269
+ Describe a case where you have solved an ambiguous business problem using machine learning.,Technical,,Data Scientist
270
+ "Having a categorical variable with thousands of distinct values, how would you encode it?",Technical,,Data Scientist
271
+ How do you manage an unbalanced data set?,Technical,,Data Scientist
272
+ What is lstm? Why use lstm? How was lstm used in your experience?,Technical,,Data Scientist
273
+ What did you use to remove multicollinearity? Explain what values of VIF you used.,Technical,,Data Scientist
274
+ Explain different time series analysis models. What are some time series models other than Arima?,Technical,,Data Scientist
275
+ How does a neural network with one layer and one input and output compare to a logistic regression?,Technical,,Data Scientist
276
+ What is p-value?,Technical,,Data Scientist
277
+ What is the maximum likelihood of getting k heads when you tossed a coin n times? Write down the mathematics behind it.,Technical,,Data Scientist
278
+ "There are 4 red balls and 2 blue balls, what's the probability of them not being the same in the 2 picks?",Technical,,Data Scientist
279
+ How would you explain hypothesis testing for a newbie?,Technical,,Data Scientist
280
+ What is cross-validation?,Technical,,Data Scientist
281
+ How do you interpret OLS regression results?,Technical,,Data Scientist
282
+ Explain confidence intervals,Technical,,Data Scientist
283
+ Name the five assumptions of linear regression,Technical,,Data Scientist
284
+ "Estimate the disease probability in one city given the probability is very low nationwide. Randomly asked 1000 people in this city, with all negative responses (NO disease). What is the probability of disease in this city?",Technical,,Data Scientist
285
+ What is the difference between linear regression and a t-test?,Technical,,Data Scientist
286
+ How does a logistic regression model know what the coefficients are?,Technical,,Data Scientist
287
+ Difference between convex and non-convex cost function; what does it mean when a cost function is non-convex?,Technical,,Data Scientist
288
+ Is random weight assignment better than assigning same weights to the units in the hidden layer?,Technical,,Data Scientist
289
+ "Given a bar plot and imagine you are pouring water from the top, how to qualify how much water can be kept in the bar chart?",Technical,,Data Scientist
290
+ What is Overfitting?,Technical,,Data Scientist
291
+ How would the change of prime membership fee would affect the market?,Technical,,Data Scientist
292
+ Why is gradient checking important?,Technical,,Data Scientist
293
+ "Describe Tree, SVM, Random forest and boosting. Talk about their advantage and disadvantages.",Technical,,Data Scientist
294
+ How do you weight 9 marbles three times on a balance scale to select the heaviest one?,Technical,,Data Scientist
295
+ Find the cumulative sum of top 10 most profitable products of the last 6 month for customers in Seattle.,Technical,,Data Scientist
296
+ Describe the criterion for a particular model selection. Why is dimension reduction important?,Technical,,Data Scientist
297
+ What are the assumptions for logistic and linear regression?,Technical,,Data Scientist
298
+ "If you can build a perfect (100% accuracy) classification model to predict some customer behaviour, what will be the problem in application?",Technical,,Data Scientist
299
+ "The probability that item an item at location A is 0.6 , and 0.8 at location B. What is the probability that item would be found on Amazon website?",Technical,,Data Scientist
300
+ "Given a ‘csv’ file with ID and Quantity columns, 50million records and size of data as 2 GBs, write a program in any language of your choice to aggregate the QUANTITY column.",Technical,,Data Scientist
301
+ Implement circular queue using an array.,Technical,,Data Scientist
302
+ "When you have a time series data by monthly, it has large data records, how will you find out significant difference between this month and previous months values?",Technical,,Data Scientist
303
+ Compare Lasso and Ridge Regression.,Technical,,Data Scientist
304
+ What’s the difference between MLE and MAP inference?,Technical,,Data Scientist
305
+ "Given a function with inputs — an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers.",Technical,,Data Scientist
306
+ "When users are navigating through the Amazon website, they are performing several actions. What is the best way to model if their next action would be a purchase?",Technical,,Data Scientist
307
+ "Estimate the disease probability in one city given the probability is very low national wide. Randomly asked 1000 person in this city, with all negative response(NO disease). What is the probability of disease in this city?",Technical,,Data Scientist
308
+ Describe SVM.,Technical,,Data Scientist
309
+ How does K-means work? What kind of distance metric would you choose? What if different features have different dynamic range?,Technical,,Data Scientist
310
+ What is boosting?,Technical,,Data Scientist
311
+ How many topic modeling techniques do you know of?,Technical,,Data Scientist
312
+ Formulate LSI and LDA techniques.,Technical,,Data Scientist
313
+ What are generative and discriminative algorithms? What are their strengths and weaknesses? Which type of algorithms are usually used and why?”,Technical,,Data Scientist
314
+ What is the difference between XGboost and random forest?,Technical,,Data Scientist
315
+ What is variance in a model?,Technical,,Data Scientist
316
+ Is a decision tree model best for predicting if a borrower will pay back a personal loan? How would you evaluate performance of the model?,Technical,,Data Scientist
317
+ "What would you do if 20% of the 100,000 sold listings are missing square footage data. You want to predict price.",Technical,,Data Engineer
318
+ What is gradient descent?,Technical,,Data Engineer
319
+ What are the assumptions of linear regression?,Technical,,Data Engineer
320
+ How do you detect and handle correlation between variables in linear regression?,Technical,,Data Engineer
321
+ Write a function to generate N samples from a normal distribution and plot the histogram. You may omit the plot to test your code.,Technical,,Data Engineer
322
+ Write a function shortest_transformation to find the length of shortest transformation sequence from begin_word to end_word through the elements of word_list.,Technical,,Data Engineer
323
+ Write a function to determine the TF (term_frequency) values for each term of this document.,Technical,,Data Engineer
324
+ Explain Data Science.,Technical,,Data Engineer
325
+ Differentiate between supervised and unsupervised learning.,Technical,,Data Engineer
326
+ What are the types of selection bias?,Technical,,Data Engineer
327
+ Why do we use a summary function?,Technical,,Data Engineer
328
+ What is pruning?,Technical,,Data Engineer
329
+ What is Linear Regression?,Technical,,Data Engineer
330
+ Explain the drawbacks of a linear model.,Technical,,Data Engineer
331
+ Tell us something about AWS.,Technical,,Data Engineer
332
+ Was there any time when you had to deal with ambiguity?,Technical,,Data Engineer
333
+ Have you ever worked in a team? ,Technical,,Data Engineer
334
+ Which project have you worked on?,Technical,,Data Engineer
335
+ How do you plan your time management strategies?,Technical,,Data Engineer
336
+ What is a confusion matrix?,Technical,,Data Engineer
337
+ Describe Markov Chains.,Technical,,Data Engineer
338
+ What is a true positive rate and a false-positive rate?,Technical,,Data Engineer
339
+ What is dimensionality reduction?,Technical,,Data Engineer
340
+ How do you find the RMSE and MSE linear regression models?,Technical,,Data Engineer
341
+ Briefly describe the Decision Tree Algorithm.,Technical,,Data Engineer
342
+ What are Entropy and information gained in the Decision Tree Algorithm?,Technical,,Data Engineer
343
+ Differentiate between Regression and classification ML techniques.,Technical,,Data Engineer
344
+ What are Recommender Systems?,Technical,,Data Engineer
345
+ How can outlier values be treated?,Technical,,Data Engineer
346
+ What are the various steps in an analytics project?,Technical,,Data Engineer
347
+ "During analysis, how do you treat missing values?",Technical,,Data Engineer
348
+ How will you define the number of clusters in a clustering algorithm?,Technical,,Data Engineer
349
+ Describe Ensemble learning.,Technical,,Data Engineer
350
+ How do you work towards a random forest?,Technical,,Data Engineer
351
+ What is the difference between Machine Learning and Deep Learning?,Technical,,Data Engineer
352
+ Define reinforcement learning.,Technical,,Data Engineer
353
+ What is the structure of an Artificial Neural Network?,Technical,,Data Engineer
354
+ Explain Cost Function.,Technical,,Data Engineer
355
+ Explain Neural Network fundamentals.,Technical,,Data Engineer
356
+ Describe Neural Networks.,Technical,,Data Engineer
357
+ What are Hyperparameters?,Technical,,Data Engineer
358
+ "Differentiate between Epoch, Batch, and Iteration in Deep Learning.",Technical,,Data Engineer
359
+ What are the different layers on CNN?,Technical,,Data Engineer
360
+ How does Pooling work on CNN?,Technical,,Data Engineer
361
+ Explain how the LSTM network works.,Technical,,Data Engineer
362
+ Define the Gradient Descent.,Technical,,Data Engineer
363
+ What are exploding gradients?,Technical,,Data Engineer
364
+ What are vanishing gradients?,Technical,,Data Engineer
365
+ Describe JOINs and SQL.,Technical,,Data Engineer
366
+ What is the most advanced query you've ever written?,Technical,,Data Engineer
367
+ White a SQL code to explain the month-to-month user retention?,Technical,,Data Engineer
368
+ "You are given a list of integers, and you need to find a certain element. Which algorithm will you use?",Technical,,Data Engineer
369
+ Which algorithm would you use to search a long list for the four elements if you have a long and short sorted list?,Technical,,Data Engineer
370
+ Write a Python function that displays first N Fibonacci numbers.,Technical,,Data Engineer
371
+ What are the processes of improving a classification model of low precision?,Technical,,Data Engineer
372
+ You are given time-series data by the month with large data records. How will you find differences between this month and the previous month?,Technical,,Data Engineer
373
+ How do you inspect missing data?,Technical,,Data Engineer
374
+ When is the missing data inspection important?,Technical,,Data Engineer
375
+ How does a logistic regression model know what the coefficients are?,Technical,,Data Engineer
376
+ Difference between convex and non-convex cost function; what does it mean when a cost function is non-convex?,Technical,,Data Engineer
377
+ Is random weight assignment better than assigning the same weights to the units in the hidden layer?,Technical,,Data Engineer
378
+ "Given a bar plot and imagine you are pouring water from the top, how to qualify how much water can be kept in the bar chart?",Technical,,Data Engineer
379
+ What is Overfitting?,Technical,,Data Engineer
380
+ How would the change of prime membership fee affect the market?,Technical,,Data Engineer
381
+ Why is gradient checking important?,Technical,,Data Engineer
382
+ "Describe Tree, SVM, Random forest and boosting. Talk about their advantages and disadvantages.",Technical,,Data Engineer
383
+ Explain the math behind the principal component analysis,Technical,,Data Engineer
384
+ How would you deal with unbalanced data where the ratio of positive and negative is huge?,Technical,,Data Engineer
385
+ Write a python function that displays the first n Fibonacci numbers.,Technical,,Data Engineer
386
+ "Given a large string and a smaller string, write a code to determine if the smaller string can be generated from letters of the larger string.",Technical,,Data Engineer
387
+ "The probability that an item is at location A is 0.6, and 0.8 at location B. What is the probability that the item would be found on the Amazon website?",Technical,,Data Engineer
388
+ Implement the union and intersection of two arrays (in an efficient way). Note that elements of the two given arrays may be repeated but cannot be repeated in union and intersection arrays.,Technical,,Data Engineer
389
+ You have two files in HDFS. One has a date range with two columns: Start date and End date. Another file has two columns with Date and number of visitors fields. Write Spark code that gives the date range with the most number of visitors.,Technical,,Data Engineer
390
+ Implement a circular queue using an array.,Technical,,Data Engineer
391
+ What’s the difference between Lasso and Ridge Regression?,Technical,,Data Engineer
392
+ "When users are navigating through the Amazon website, they are performing many actions, clicking on buttons, doing searches, etc. What is the best way to model the front end of the website if their next action would be a purchase?",Technical,,Data Engineer
393
+ How does K-means work? What kind of distance metric would you choose? What if different features have different dynamic ranges?,Technical,,Data Engineer
394
+ What are generative and discriminative algorithms? What are their strengths and weaknesses? Which type of algorithms are usually used and why?,Technical,,Data Engineer
395
+ How would you modify a table with over a billion rows?,Technical,,Data Engineer
396
+ Give an instance of a project when you were on a short deadline and you finished it.,Technical,,Data Engineer
397
+ How do you determine the depth of a neural network?,Technical,,Data Engineer
398
+ Can you describe how to perform spiral printing of a matrix?,Technical,,Data Engineer
399
+ How do you conduct tests when the data is skewed?,Technical,,Data Engineer
400
+ "What are convex and non-convex cost functions, and what are their differences?",Technical,,Data Engineer
401
+ Explain overfitting,Technical,,Data Engineer
402
+ "Do you think changing the prime membership fee will change the market? If yes, how?",Technical,,Data Engineer
403
+ Difference between CHAR and VARCHAR in MySQL ,Technical,,Data Engineer
404
+ How do you differentiate between Oracle and MySQL? ,Technical,,Data Engineer
405
+ How to test for NULL values in a database?,Technical,,Data Engineer
406
+ Write a SQL code to explain month to month user retention rate.,Technical,,Data Engineer
407
+ What is a foreign key? How to implement the same in MySQL?,Technical,,Data Engineer
408
+ What are Database White Box Testing & Black Box Testing?,Technical,,Data Engineer
409
+ Describe different JOINs in SQL.,Technical,,Data Engineer
410
+ "Given a table with three columns (id, category, value) and each id has three or fewer categories (price, size, colour). How can you find those IDs for which the value of two or more categories match one another? ",Technical,,Data Engineer
411
+ "Given a CSV file with ID and Quantity columns, 50 million records, and the size of the data is 2gig, write a program to aggregate the QUANTITY column.",Technical,,Data Engineer
412
+ Which drivers are necessary for MySQL?,Technical,,Data Engineer
413
+ What is a trigger in MySQL? How can we use it?,Technical,,Data Engineer
414
+ How can we run MySQL in batch mode?,Technical,,Data Engineer
415
+ What are the various types of tables present in Mysql?,Technical,,Data Engineer
416
+ How can you convert timestamps to date time in MySQL?,Technical,,Data Engineer
417
+ How to import and export MySQL databases?,Technical,,Data Engineer
418
+ What is lstm? How & Why was lstm used in your experience?,Technical,,Data Engineer
419
+ What are Recommender Systems?,Technical,,Data Engineer
420
+ What did you use to remove multicollinearity? Explain what values of VIF you used.,Technical,,Data Engineer
421
+ Explain different time series and analysis models. What are some time series models other than Arima?,Technical,,Data Engineer
422
+ What is the p-value?,Technical,,Data Engineer
423
+ What is the maximum likelihood of getting k heads when you tossed a coin n times? ,Technical,,Data Engineer
424
+ There are 4 white balls and 2 green balls. What’s the probability of them not being the same in the 2 picks?,Technical,,Data Engineer
425
+ How would you explain hypothesis testing for a newbie?,Technical,,Data Engineer
426
+ What is cross-validation?,Technical,,Data Engineer
427
+ How do you interpret OLS regression results?,Technical,,Data Engineer
428
+ Explain confidence intervals,Technical,,Data Engineer
429
+ Name the five assumptions of linear regression.,Technical,,Data Engineer
430
+ "Estimate the disease probability in one city given the probability is very low nationwide. Randomly asked 1000 people in this city, with all negative responses (NO disease). What is the probability of disease in this city?",Technical,,Data Engineer
431
+ What is the difference between linear regression and a t-test?,Technical,,Data Engineer
432
+ "How would you apply machine learning to predict whether customers will churn based on their historical purchase data,  browsing behavior, and customer support interactions? ",Technical,,Data Engineer
433
+ "Describe your understanding of SQL basic concepts such as Primary/Foreign Key, Joins, Union/Union All. Write SQL queries involving JOINs across 2-3 tables, Aggregation, Subqueries, Window functions, and CTEs (Leetcode- Easy and Medium). Explain statistical concepts and business metrics you have used in previous projects, KPIs you have built for analyzing data, strategies and tools to compare products, and how you would approach situation-based questions to improve efficiency and reduce query run time.",Technical,,Data Engineer
434
+ Explain how you would use advanced SQL techniques to identify consecutive numbers and segregate absent and present dates.,Technical,,Data Engineer
435
+ How do you join tables in SQL? Explain the types of joins and provide examples.,Technical,,Data Engineer
436
+ "What is the difference between Tableau, Power BI, and other BI tools? Do you have any knowledge of Machine Learning?",Technical,,Data Engineer
437
+ "Describe how you would use Excel to perform tasks involving Pivot Tables, VLOOKUP, and Filters. Provide examples.",Technical,,Data Engineer
438
+ How would you forecast pricing for this particular model of TV based on this sales data from last year?,Technical,,Data Engineer
439
+ Explain the differences between linear regression and logistic regression. What are R-squared and P-value? Provide an example SQL query.,Technical,,Data Engineer
440
+ What kind of metrics do you want to monitor when you are taking charge of evaluating the business performance of an outbound warehouse?,Technical,,Data Engineer
441
+ What are ways to eliminate bottlenecks?,,,
442
+ Questions,Type,Role
443
+ "Describe the difference between L1 and L2 regularization, specifically in regards to the difference in their impact on the model training process.",ML,Data Scientist
444
+ What is the meaning and calculation of ACF and PACF?,ML,Data Scientist
445
+ How would you design a client-server model where the client must send location data every minute?,ML,Data Scientist
446
+ Write a function to detect if a binary tree is a mirror image on both the left and right sub-trees.,ML,Data Scientist
447
+ Let’s say you have a time series dataset grouped monthly for the past five years. How would you find out if the difference between this month and the previous month was significant or not?,ML,Data Scientist
448
+ How does XGBoost handle the bias-variance trade-off?,ML,Data Scientist
449
+ "Suppose you have 100,000 files spread across multiple servers and you wanted to process all of them? How would you do that in Hadoop?",ML,Data Scientist
450
+ "Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half.",ML,Data Scientist
451
+ "Given a table of user logs with platform information, count the number of daily active users on each platform for the year of 2020.",ML,Data Scientist
452
+ "Write a query to prove if users who interact on the website (likes, comments) convert towards purchasing at a higher volume than users who do not interact.",SQL,Data Scientist
453
+ How would you approach solving a real-world problem using data science at Apple?,Technical Analysis,Data Scientist
454
+ "Can you discuss a challenging data analysis problem you've faced in the past, and how you successfully addressed it?",Technical Analysis,Data Scientist
455
+ "Apple is known for its focus on user privacy. How would you ensure the ethical use of data in your data science projects, keeping user privacy in mind?",Technical Analysis,Data Scientist
456
+ Explain the differences between supervised and unsupervised learning. Provide examples of scenarios where each type of learning would be applicable.,Technical Analysis,Data Scientist
457
+ How do you handle missing data in a dataset? Can you discuss different imputation techniques and when to use them?,Technical Analysis,Data Scientist
458
+ Apple products generate vast amounts of data. How would you approach handling and analyzing large datasets efficiently?,Technical Analysis,Data Scientist
459
+ "Describe a situation where feature engineering played a crucial role in improving the performance of a machine learning model. What features did you engineer, and why?",Technical Analysis,Data Scientist
460
+ Apple is focused on delivering a seamless user experience. How can data science contribute to enhancing user experience in Apple products and services?,Technical Analysis,Data Scientist
461
+ Explain the concept of overfitting in machine learning. What techniques would you use to prevent or mitigate overfitting in a model?,Technical Analysis,Data Scientist
462
+ How would you design and implement an A/B test to evaluate the impact of a new feature on user engagement in an Apple product?,Technical Analysis,Data Scientist
463
+ Apple places a high value on innovation. Can you discuss a project where you applied innovative approaches to solve a data science problem?,Technical Analysis,Data Scientist
464
+ "Explain the term ""bias"" in the context of machine learning. How can bias be addressed or minimized in data-driven decision-making processes?",Technical Analysis,Data Scientist
465
+ Apple's products are used globally. How would you approach analyzing and interpreting data from diverse cultural and demographic perspectives?,Technical Analysis,Data Scientist
466
+ Discuss your experience with natural language processing (NLP) and how it could be applied to improve Apple's Siri or other language-related features.,Technical Analysis,Data Scientist
467
+ Apple is known for its commitment to sustainability. How might data science be utilized to measure and reduce the environmental impact of Apple products and services?,Technical Analysis,Data Scientist
468
+ How do you handle missing data in Python?,Technical Analysis,Data Scientist
469
+ Explain the difference between a list and a tuple in Python.,Technical Analysis,Data Scientist
470
+ Implement a binary search algorithm.,Technical Analysis,Data Scientist
471
+ Discuss the time complexity of different sorting algorithms.,Technical Analysis,Data Scientist
472
+ Write a SQL query to find the second highest salary from a table.,Technical Analysis,Data Scientist
473
+ Explain the difference between inner join and outer join.,Technical Analysis,Data Scientist
474
+ Explain the difference between supervised and unsupervised learning.,Technical Analysis,Data Scientist
475
+ How do you handle overfitting in a machine learning model?,Technical Analysis,Data Scientist
476
+ What are the different joins in SQL?,Technical Analysis,Data Scientist
477
+ Is it possible to roll back after using the ALTER command?,Technical Analysis,Data Scientist
478
+ What are the major differences between the Truncate and Drop commands?,Technical Analysis,Data Scientist
479
+ Explain the purpose of SELECT and FROM statements.,Technical Analysis,Data Scientist
480
+ What would you suggest for the improvement of Siri?,Technical Analysis,Data Scientist
481
+ How would you check the completeness of a given binary tree?,Technical Analysis,Data Scientist
482
+ Write a program to check whether any permutation of a given string is a palindrome?,Technical Analysis,Data Scientist
483
+ Write a function contains_cycle() that indicates whether the list contains a cycle by taking the first node in a singly-linked list and returning a boolean.  ,Technical Analysis,Data Scientist
484
+ "Given a positive integer and target, write a program to print the possible combinations of positive integers whose sum is the target number.",Technical Analysis,Data Scientist
485
+ "For a given list of intervals, merge the overlapping intervals and give a list with only mutually exclusive intervals.",Technical Analysis,Data Scientist
486
+ Explain event-driven programming with an example in C.,Technical Analysis,Data Scientist
487
+ How would you test whether a high-order bit is set in a byte?,Technical Analysis,Data Scientist
488
+ "Given the root node of a binary tree, write a program to switch the 'left' and 'right' children for each node.",Technical Analysis,Data Scientist
489
+ Does adding an outlier change the mean or median more?,Technical Analysis,Data Scientist
490
+ Can you explain recursion and dynamic programming?,Technical Analysis,Data Scientist
491
+ Can you write SQL code to merge 2 datasets by a specific variable?,Technical Analysis,Data Scientist
492
+ What segmentation techniques have you used?,Technical Analysis,Data Scientist
493
+ How to deal with NaN and null values in Tableau?,Technical Analysis,Data Scientist
494
+ How to return first names from a column using the str.split function in Python?,Technical Analysis,Data Scientist
495
+ How to find rows starting with the letter 'H' in SQL?,Technical Analysis,Data Scientist
496
+ How to create a DataFrame in Python?,Technical Analysis,Data Scientist
497
+ Can you explain penalized regression?,Technical Analysis,Data Scientist
498
+ Debate the differences between Bayesian and Frequentist Statistics.,Technical Analysis,Data Scientist
499
+ Describe what a confidence interval is.,Technical Analysis,Data Scientist
500
+ What metrics can be used to evaluate a model?,Technical Analysis,Data Scientist
501
+ "How would you count daily active users on each platform (ipad, iphone, mac) using a table of user log data?",Technical Analysis,Data Scientist
502
+ Can you describe the difference between KNN and K Nearest Neighbor?,Technical Analysis,Data Scientist
503
+ Can you find the index at which the sum of the left half of the array is equal to the right half?,Technical Analysis,Data Scientist
504
+ How do you calculate sample size?,Technical Analysis,Data Scientist
505
+ Explain the Propensity Model and how beta estimates are calculated using Maximum Likelihood Estimation.,Technical Analysis,Data Scientist
506
+ Define ACF and PACF. Explain how they are calculated and their significance in time series analysis.,Technical Analysis,Data Scientist
507
+ Can you explain the Bias-Variance tradeoff and ways to check overfitting of a model?,Technical Analysis,Data Scientist
508
+ What statistics related topics like PDF and CDF may be asked?,Technical Analysis,Data Scientist
509
+ Can you write a Python code to find anagrams in a list and print out the list of anagrams?,Technical Analysis,Data Scientist
510
+ How does XGBoost handle bias-variance tradeoff?,Technical Analysis,Data Scientist
511
+ How to store a JSON file and load JSON data?,Technical Analysis,Data Scientist
512
+ Can you describe in detail the difference between L1 and L2 regularization and how they impact the model training process?,Technical Analysis,Data Scientist
513
+ Can you explain the concept of set cover?,Technical Analysis,Data Scientist
514
+ Write an SQL query to find how many accounts have performed a login in the year 2016?,Technical Analysis,Data Scientist
515
+ How is the value k selected in k-means clustering?,Technical Analysis,Data Scientist
516
+ How do you calculate the F1 score and what does it mean?,Technical Analysis,Data Scientist
517
+ Design an algorithm to predict customer churn,Technical Analysis,Data Scientist
518
+ Count the number of user events performed by MacBookPro users,Technical Analysis,Data Scientist
519
+ How is the value k selected in k-means clustering?,Technical Analysis,Data Scientist
520
+ Find the index at which the sum of the left half of array is equal to the right half.,Technical Analysis,Data Scientist
521
+ "How do you take millions of users with 100s of transactions each, amongst 10ks of products and group the users together in meaningful segments?",Technical Analysis,Data Scientist
522
+ Could you explain the difference between 'where' and 'having' filters in sql?,SQL,Data Scientist
523
+ What is the difference between 'WHERE' and 'HAVING'?,SQL,Data Scientist
524
+ Can you write an algorithm for a perfect binary tree?,Technical Analysis,Data Scientist
525
+ Will you utilize Hadoop for distributed data storage?,Technical Analysis,Data Scientist
526
+ How would you derive a confidence interval from a series of coin tosses?,Technical Analysis,Data Scientist
527
+ Can you explain data mining and aggregations?,Technical Analysis,Data Scientist
528
+ How do you acquire and check data validity from various situations?,Technical Analysis,Data Scientist
529
+ What steps are involved in creating a dashboard in Tableau?,Technical Analysis,Data Scientist
530
+ What is the difference between Extract and Live in Tableau?,Technical Analysis,Data Scientist
531
+ "What factors should be used in generating a forecast for an item, and what should be the process of generation?",Technical Analysis,Data Scientist
532
+ What is a xyz in Tableau and what does it do?,Technical Analysis,Data Scientist
533
+ How would you identify and address potentially under-performing predictive models in a production environment?,Technical Analysis,Data Scientist
534
+ How would you diagnose and resolve issues when a business intelligence report breaks in a production environment?,Technical Analysis,Data Scientist
535
+ Questions,Type,Role
536
+ Design a dashboard to highlight a certain aspect of the user behavior.,Product Sense Type ,Data Engineer
537
+ How do you calculate unique logins by a user on facebook.com?,Product Sense Type ,Data Engineer
538
+ How would you rate the popularity of a video posted online?,Product Sense Type ,Data Engineer
539
+ How would you check if Facebook should change something in the newsfeed? How would you define the KPI in this case?,Product Sense Type ,Data Engineer
540
+ Design an experiment to test whether a certain feature generates conversation.,Product Sense Type ,Data Engineer
541
+ Present a design of a gaming company database.,Data Modeling Type,Data Engineer
542
+ Design a database for an app.,Data Modeling Type,Data Engineer
543
+ Design a relational database for a ride-sharing app.,Data Modeling Type,Data Engineer
544
+ "Given data, design a table schema for this data to be used by a data scientist to query metrics such as process with max average elapsed time, and so they can plot each process.",Data Modeling Type,Data Engineer
545
+ Create DDL (table and foreign keys) for several tables in a provided ERD. The ERD contains at least one many-to-many relationship.,Data Modeling Type,Data Engineer
546
+ "Design a database schema for an app which provides a ride-sharing service, explain which tables, field types, and keys will need to be saved.",Data Modeling Type,Data Engineer
547
+ How do you join two tables with all the information on the left one unchanged?,SQL Type,Data Engineer
548
+ Does database view occupy the disk space?,SQL Type,Data Engineer
549
+ "Given full authority to ""make it work"", import a large data set with duplicates into a warehouse while meeting the requirements of a business intelligence designer for query speed.",SQL Type,Data Engineer
550
+ Find the top 10 colleges/companies that an average social person interacts with.,SQL Type,Data Engineer
551
+ The ORDER BY command in SQL is automatically set in what format if you didn't set it: Ascending or Descending?,SQL Type,Data Engineer
552
+ "When you want to delete or add a column of a table in a database, what command will you use?",SQL Type,Data Engineer
553
+ What command would you want to use if you want to keep all the info on the left table?,SQL Type,Data Engineer
554
+ "If you want to combine two columns after removing two duplicates, would you use UNION or UNION ALL?",SQL Type,Data Engineer
555
+ What is the term used to select non-duplicates in SQL?,SQL Type,Data Engineer
556
+ "Given a raw data table, how would you write the SQL to perform the ETL to get data into a desired format?",SQL Type,Data Engineer
557
+ Perform a merge-sort with SQL only.,SQL Type,Data Engineer
558
+ A table has two data entries every day for # of apples and oranges sold. Write a query to get the difference between the apples and oranges sold on a given day.,SQL Type,Data Engineer
559
+ Given a database schema showing product sales: calculate what percent of our sales transactions had a valid promotion applied. And what % of sales happened on the first and last day of the promotion?,SQL Type,Data Engineer
560
+ Display the most common name in a table.,SQL Type,Data Engineer
561
+ "Write a query that returns product_family, units_sold, percentage of promoted.",SQL Type,Data Engineer
562
+ Write a query that returns percentage of unsold product_category.,SQL Type,Data Engineer
563
+ Write a function to count the number of times each character appears in a string and rewrite the string in that format.,SQL Type,Data Engineer
564
+ "Given a table of users and whom they sent friend requests to, what is the average number of friend requests sent in the last week?",SQL Type,Data Engineer
565
+ Given a schema progressively ask SQL queries ranging from basic to window functions.,SQL Type,Data Engineer
566
+ "Given a two-dimensional list, for example [ [2,3],[3,4],[5]] person 2 is friends with 3 etc, find how many friends each person has. Note, one person has no friends.",Coding Type,Data Engineer
567
+ "Can you do the following without using subquery?: {1,None,1,2,None} --> [1,1,1,2,2] Ensure you take care of case input[None] which means None object.",Coding Type,Data Engineer
568
+ "Complete a function that returns a list containing all the mismatched words (case sensitive) between two given input strings # For example: # - string 1: ""Firstly this is the first string"" # - string 2: ""Next is the second string"" # # - output : ['Firstly', 'this', 'first', 'Next', 'second'].",Coding Type,Data Engineer
569
+ Complete a function that returns the number of times a given character occurs in the given string.,Coding Type,Data Engineer
570
+ # For example:,Coding Type,Data Engineer
571
+ "# - input string = ""mississippi""",Coding Type,Data Engineer
572
+ "# - char = ""s""",Coding Type,Data Engineer
573
+ #,Coding Type,Data Engineer
574
+ # - output : 4,Coding Type,Data Engineer
575
+ "Given an array containing None values fill in the None values with most recent non None value in the array. For example: input array: [1,None,2,3,None,None,5,None] # - output array: [1,1,2,3,3,3,5,5].",Coding Type,Data Engineer
576
+ "Complete a function that returns a list containing all the mismatched words (case sensitive) between two given input strings # For example: string 1: ""Firstly this is the first string"" # - string 2: ""Next is the second string"" # # - output : ['Firstly', 'this', 'first', 'Next', 'second'].",Coding Type,Data Engineer
577
+ "Given an array of integers, we would like to determine whether the array is monotonic (non-decreasing/non-increasing) or not. Examples:",Coding Type,Data Engineer
578
+  // 1 2 5 5 8 ,Coding Type,Data Engineer
579
+ // true ,Coding Type,Data Engineer
580
+ // 9 4 4 2 2 ,Coding Type,Data Engineer
581
+ // true ,Coding Type,Data Engineer
582
+ // 1 4 6 3 ,Coding Type,Data Engineer
583
+ // false  ,Coding Type,Data Engineer
584
+ //1 1 1 1 1 1,Coding Type,Data Engineer
585
+ // true,Coding Type,Data Engineer
586
+ "Given two sentences, construct an array that has the words that appear in one sentence and not the other.",Coding Type,Data Engineer
587
+ "Given an IP address as an input string, validate it and return True/False.",Coding Type,Data Engineer
588
+ Count the neighbors of each node in a graph. Input graph is a multi-dimensional list.,Coding Type,Data Engineer
589
+ "Given a dictionary, print the key for nth highest value present in the dict. If there are more than 1 record present for nth highest value then sort the key and print the first one.",Coding Type,Data Engineer
590
+ Flatten a nested dictionary.,Coding Type,Data Engineer
591
+ "You have a 2-D array of friends like [[A,B],[A,C],[B,D],[B,C],[R,M], [S],[P], [A]]. Write a function that creates a dictionary of how many friends each person has. People can have 0 to many friends. However, there won't be repeat relationships like [A,B] and [B,A] and neither will there be more than 2 people in a relationship.",Coding Type,Data Engineer
592
+ What is a loop that goes on forever?,Coding Type,Data Engineer
593
+ Recursively parse a string for a pattern that can be either 1 or 2 characters long.,Coding Type,Data Engineer
594
+ Write a simple spell-checking engine.,Coding Type,Data Engineer
595
+ "Given two sentences, you have to print the words that are not present in either of the sentences. (If one word is present twice in 1st sentence but not present in 2nd sentence then you have to print that word too).",Coding Type,Data Engineer
596
+ Write a function to count the number of times each character appears in a string and rewrite the string in that format.,Coding Type,Data Engineer
597
+ Match all words in a document against a name dictionary and anonymize them using a hash.,Coding Type,Data Engineer
598
+ Tell me about yourself.,Ownership Type,Data Engineer
599
+ Tell me about a challenge you faced and how you overcame it.,Ownership Type,Data Engineer
600
+ Why data engineering?,Ownership Type,Data Engineer
601
+ Why Meta?,Ownership Type,Data Engineer
602
+ Tell me about a project you have worked on.,Ownership Type,Data Engineer
603
+ Describe a situation where you did not agree with the stakeholders. How did you handle it?,Ownership Type,Data Engineer
604
+ What product would you want to most work on and why? What would you do if you worked on that project?,Ownership Type,Data Engineer
605
+ What is the most challenging project that you have ever worked on?,Ownership Type,Data Engineer
606
+ "If you have conflicts with your manager, what would you do?",Ownership Type,Data Engineer
607
+ What are 3 things you want to accomplish in the first 3 months?,Ownership Type,Data Engineer
608
+ "On Instagram, the probability of a user watching a story to completion is 0.8. If a user posts a sequence of 4 stories, what is the probability that a viewer will watch all 4 stories? What about at least 2 stories?",Analytical Type,Data Engineer
609
+ What is the difference between Type I and Type II errors in hypothesis testing?,Analytical Type,Data Engineer
610
+ Say you roll a die three times. What is the probability of getting two sixes in a row?,Analytical Type,Data Engineer
611
+ "Can you explain what a p-value and confidence interval are, but in layman's terms?",Analytical Type,Data Engineer
612
+ "Explain the concept of covariance and correlation. How are they different, and what do they measure?",Analytical Type,Data Engineer
613
+ "A Facebook Ads analyst is investigating the effectiveness of a new ad targeting algorithm. As a general baseline, they know that 1% of all users who see an ad convert (make a purchase). The new algorithm correctly identifies 80% of users who will convert for an ad. The algorithm also incorrectly flags 10% of non-converting users as likely to convert. Given that the algorithm has flagged a user as likely to convert, what is the probability that this user will actually convert?",Analytical Type,Data Engineer
614
+ what data would you analyze to see if building this new product/feature is worth it?,Analytical reasoning ,Data Engineer
615
+ how would you design an A/B test for the new feature?,Analytical reasoning ,Data Engineer
616
+ what A/B testing pitfalls might you encounter?,Analytical reasoning ,Data Engineer
617
+ "what success metrics would you track, to see if this new feature is good?",Analytical reasoning ,Data Engineer
618
+ what guardrail or counter-metrics would you track?,Analytical reasoning ,Data Engineer
619
+ "if some key metric went up, but a different metric got worse, how would you determine whether to ship the feature?",Analytical reasoning ,Data Engineer
620
+ "if there suddenly was a drop in some key metric, how would you troubleshoot the root-cause of the metric change?",Analytical reasoning ,Data Engineer
621
+ Meta's mobile app is suddenly experiencing high bounce rates and low session durations. How would you troubleshoot this issue?,Analytical reasoning ,Data Engineer
622
+ "A user advocacy group raises concerns about the accessibility of Meta's platform for individuals with hearing disabilities. What are some product improvements that could be made with Facebook Live and Facebook videos? What metrics would you define, to see if your features had a positive impact?",Analytical reasoning ,Data Engineer
623
+ "Imagine you launched a feature to grow engagement of Facebook Groups. The Daily-Active-Users of groups goes up by 2%, but the average time-spent on Facebook Groups goes down by 3%. How would you determine if you should ship this feature?",Analytical reasoning ,Data Engineer
624
+ "Meta is trying to launch social shopping, similar to TikTok Shop. Without building a beta-test of the feature, how would you opportunity size the revenue impact from the feature?",Analytical reasoning ,Data Engineer
625
+ Imagine Meta is planning to launch a new video feature aimed at young adults. How would you assess the product-market fit and define success metrics to ensure resonance with the target demographic?,Analytical reasoning ,Data Engineer
626
+ "Meta's data science team is analyzing user engagement metrics for a new close-friends Reels tab. However, the data shows a significant drop in engagement rates shortly after the feature launch. How would you investigate the cause of the drop in user engagement, prioritize potential factors contributing to the decline, and propose data-driven strategies to address the issue?",Analytical reasoning ,Data Engineer
627
+ "Meta's advertising team is exploring ways to optimize ad targeting to increase revenue and improve ad relevance for users. However, ad click-through rates are lower than expected, indicating potential issues with targeting accuracy. How would you analyze user demographic and behavioral data to assess the effectiveness of ad targeting algorithms, and what strategies would you propose to improve targeting accuracy and ad performance?",Analytical reasoning ,Data Engineer
628
+ "Meta's product team is considering introducing a new feature that allows users to customize their profile settings. However, there are concerns about potential privacy implications and data security risks associated with the feature. How would you conduct a privacy impact assessment to evaluate the potential risks and benefits of implementing the new feature, and what analytical methods would you use to assess user privacy preferences and mitigate privacy concerns?",Analytical reasoning ,Data Engineer
629
+ "Meta's data science team is exploring ways to improve search relevance for users navigating its marketplace platform. However, search queries are returning irrelevant or inaccurate results, leading to frustration among users. How would you analyze user search queries and click-through behavior to identify issues with search relevance?",Analytical reasoning ,Data Engineer
630
+ "Meta's data science team is investigating the impact of algorithmic bias on content recommendations in its news feed. Users have reported instances of bias in recommended content, leading to concerns about fairness and diversity. How would you quantify and measure algorithmic bias in content recommendations, and what analytical techniques would you use to identify biased patterns and mitigate the impact of bias on user experience and content diversity?",Analytical reasoning ,Data Engineer
631
+ "The PM responsible for Facebook events has a new idea to drive engagement – when your friends mark that they'll attend an event, you will get a notification. How would you measure the success of this notification? What counter-metrics would you look at?",Analytical reasoning ,Data Engineer
632
+ The Instagram Monetization team would love to double the amount of ads shown on Instagram – it's the quickest way to nearly double revenue over-night. What do you think about this idea? How would you determine the optimal ad-load for Instagram?,Analytical reasoning ,Data Engineer
633
+ "Provided a table with user_id and the dates they visited the platform, find the top 100 users with the longest continuous streak of visiting the platform as of yesterday.",Technical Analysis,Data Engineer
634
+ "Provided a table with page_id, event timestamp, and an on/off status flag, find the number of pages that are currently on.",Technical Analysis,Data Engineer
635
+ "Given a database of posts and a database of comments on those posts, how do you determine how many conversations are happening in the comments per post on average?",Technical Analysis,Data Engineer
636
+ "You're given two tables. One contains the date, post_id, relationship (e.g. friend, group, page), and interaction (e.g. like, share, etc.). The second table contains post_id, and the ID of the person who posted. How many likes were made on friend posts yesterday?",Technical Analysis,Data Engineer
637
+ "What's the difference between a left join, a union, and a right join?",Technical Analysis,Data Engineer
638
+ "Using SQL, how would you provide a distribution of rolling 7-day average money spent per person, broken up into categories of purchase?",Technical Analysis,Data Engineer
639
+ "In SQL, how to combine two datasets while keeping all info?",Technical Analysis,Data Engineer
640
+ How can you pull the unique conversation events from a database in SQL?,Technical Analysis,Data Engineer
641
+ How to create a validation tool for Facebook Marketplace?,Technical Analysis,Data Engineer
642
+ There is an algorithm that rates posts on their likelihood of being spam. How would you check if the algorithm works?,DSA,Data Engineer
643
+ "Given a list, search for consecutive numbers (n) whose sum is equal to a specific number (x).",DSA,Data Engineer
644
+ "Given a list of people with things that they own, find the people who have common items and what they are.",DSA,Data Engineer
645
+ "Can you find the first login for a platform, given a list of users?",DSA,Data Engineer
646
+ How do you revert a string?,DSA,Data Engineer
647
+ How would you measure the success of a product?,Analytical Execution,Data Engineer
648
+ What KPIs would you use to measure the success of the newsfeed?,Analytical Execution,Data Engineer
649
+ How would you improve notifications?,Analytical Execution,Data Engineer
650
+ "Activity in Facebook user groups is down by 20%, what do you do?",Analytical Execution,Data Engineer
651
+ Friends acceptance rate decreases 15% after a new notifications system is launched - how would you investigate?,Analytical Execution,Data Engineer
652
+ "The notification product will launch a new feature. The feature is a new type of notification. When your friends attend an event, you will get a notification. How do you measure the success of this new feature?",Analytical Execution,Data Engineer
653
+ Imagine a product similar to Facebook Marketplace called Facebook Restaurants. Measure the success of this new feature.,Analytical Execution,Data Engineer
654
+ How would you measure the success of a newly released feature that is similar to the Facebook group chat?,Analytical Execution,Data Engineer
655
+ How would you build a 'restaurants you may like' recommender system on the news feed?,Analytical Execution,Data Engineer
656
+ How would you predict churn rate?,Analytical Execution,Data Engineer
657
+ "Given a table of data, how would you create a model to detect spam?",Analytical Execution,Data Engineer
658
+ How would you create a model to find bad sellers on FB Marketplace? How can you tell if your model is working?,Analytical Execution,Data Engineer
659
+ "You see ""average reels watched"" has dropped precipitously suddenly, how would you figure out what's happening?",Analytical Execution,Data Engineer
660
+ Explain the ETL process and its significance in data engineering.,Analytical Execution,Data Engineer
661
+ What is the difference between OLAP and OLTP? How does each relate to data engineering?,Analytical Execution,Data Engineer
662
+ Describe a situation where you had to optimize a slow-performing SQL query. What approach did you take?,Analytical Execution,Data Engineer
663
+ How do you handle schema changes in a database without disrupting data pipelines?,Analytical Execution,Data Engineer
664
+ Can you explain the concept of data partitioning and how it improves query performance in distributed databases?,Analytical Execution,Data Engineer
665
+ "What are some common challenges when dealing with big data, and how do you address them in your work?",Analytical Execution,Data Engineer
666
+ Walk me through the process of designing a data warehouse architecture.,Analytical Execution,Data Engineer
667
+ How do you ensure data quality and integrity in a data pipeline?,Analytical Execution,Data Engineer
668
+ "Explain the role of indexes in a database. When would you use them, and what considerations should be taken into account?",Analytical Execution,Data Engineer
669
+ Describe a scenario where you had to deal with unstructured data. How did you structure and analyze it for meaningful insights?,Analytical Execution,Data Engineer
670
+ "What is the importance of metadata in a data engineering context, and how do you manage it in your projects?",Analytical Execution,Data Engineer
671
+ Discuss the differences between batch processing and real-time processing in the context of data engineering.,Analytical Execution,Data Engineer
672
+ "How do you approach the task of data modeling, and what factors do you consider in choosing a particular data model for a given problem?",Analytical Execution,Data Engineer
673
+ Explain the concept of sharding in databases. When and why would you choose to implement sharding in a system?,Analytical Execution,Data Engineer
674
+ Describe a situation where you had to troubleshoot and resolve a data pipeline failure. What steps did you take to identify and fix the issue?,Analytical Execution,Data Engineer
675
+ You have a dataset of user activity on Meta. What analysis would you do to understand how user engagement has changed over time?,Analytical Execution,Data Engineer
676
+ Write an SQL query to retrieve the top 10 users by number of likes on their posts.,Analytical Execution,Data Engineer
677
+ "Given a dataset of user ratings for a set of products, how would you identify the most popular products?",Analytical Execution,Data Engineer
678
+ Explain the concept of A/B testing and how it can be used in data analysis.,Analytical Execution,Data Engineer
679
+ You have a dataset of user demographics and their activity on Meta. How would you use this data to help advertisers target specific groups of users?,Analytical Execution,Data Engineer
680
+ You are given a dataset of website traffic for a company's e-commerce site. How would you use this data to identify areas for improvement in the user experience?,Analytical Execution,Data Engineer
681
+ Write a Python script to calculate the correlation between two variables in a dataset.,Analytical Execution,Data Engineer
682
+ "Given a dataset of customer reviews for a restaurant, how would you identify the factors that are most important in determining overall customer satisfaction?",Analytical Execution,Data Engineer
683
+ You have a dataset of customer orders for an e-commerce site. How would you use this data to forecast future sales?,Analytical Execution,Data Engineer
684
+ "Explain the difference between precision and recall in the context of machine learning, and how they are used to evaluate model performance.",Analytical Execution,Data Engineer
685
+ Questions ,Type,Position
686
+ Explain your experience with A/B testing. How would you design and analyze an A/B test to determine the impact of a new feature on user engagement?,Analytical,Data Scientist
687
+ "Describe a time when you used machine learning to solve a business problem. What was the problem, and what approach did you take?",Analytical,Data Scientist
688
+ How do you handle missing data in a dataset? Can you provide an example of a method you’ve used and its impact on your analysis?,Analytical,Data Scientist
689
+ What techniques do you use for feature selection and why?,Analytical,Data Scientist
690
+ "Describe the process you would use to build a recommendation system for Netflix. What data would you use, and which algorithms might be effective?",Analytical,Data Scientist
691
+ Explain the difference between supervised and unsupervised learning. Can you provide examples of when you would use each?,Analytical,Data Scientist
692
+ How do you evaluate the performance of a predictive model? What metrics do you prefer and why?,Analytical,Data Scientist
693
+ Discuss a time when you had to communicate complex data insights to a non-technical audience. How did you ensure they understood your findings?,Analytical,Data Scientist
694
+ "What is your experience with big data technologies (e.g., Hadoop, Spark)? How have you used these tools in your past projects?",Analytical,Data Scientist
695
+ Can you explain the concept of overfitting? How can you prevent it when building a machine-learning model?,Analytical,Data Scientist
696
+ "Describe a situation where you had to clean and preprocess a large dataset. What challenges did you face, and how did you overcome them?",Analytical,Data Scientist
697
+ How would you go about identifying and addressing bias in a machine-learning model?,Analytical,Data Scientist
698
+ What is your experience with natural language processing (NLP)? Can you describe a project where you applied NLP techniques?,Analytical,Data Scientist
699
+ Explain how you would measure the success of a new content recommendation algorithm on Netflix. What metrics and methods would you use?,Analytical,Data Scientist
700
+ "Describe a situation where you had to make a trade-off between model complexity and interpretability. How did you handle it, and what was the outcome?",Analytical,Data Scientist
701
+ What do you know about A/B testing in the context of streaming?,Technical ,Data Scientist
702
+ "What are the differences between L1 and L2 regularization, why don’t people use L0.5 regularization for instance?",Technical ,Data Scientist
703
+ What is the difference between online and batch gradient descent?,Technical ,Data Scientist
704
+ What is the best way to communicate ML results to stakeholders?,Technical ,Data Scientist
705
+ Write the equation for building a classifier using Logistic Regression.,Technical ,Data Scientist
706
+ "Given a month’s worth of login data from Netflix such as account_id, device_id, and metadata concerning payments, how would you detect payment fraud?",Technical ,Data Scientist
707
+ How would you design an experiment for a new content recommendation model we’re thinking of rolling out? What metrics would matter?,Technical ,Data Scientist
708
+ Write SQL queries to find a time difference between two events.,Technical ,Data Scientist
709
+ How would you build and test a metric to compare two users’s ranked lists of movie/tv show preferences?,Technical ,Data Scientist
710
+ How would you select a representative sample of search queries from five million?,Technical ,Data Scientist
711
+ Why is Rectified Linear Unit a good activation function?,Technical ,Data Scientist
712
+ "If Netflix is looking to expand its presence in Asia, what are some factors that you can use to evaluate the size of the Asia market, and what can Netflix do to capture this market?",Technical ,Data Scientist
713
+ How would we approach to attribution modeling to measure marketing effectiveness?,Technical ,Data Scientist
714
+ How would you determine if the price of a Netflix subscription is truly the deciding factor for a consumer?,Technical ,Data Scientist
715
+ What do you mean by Pickling and Unpickling in python?,Technical ,Data Scientist
716
+ "If you want to comment multiple lines in Python, how would you do that?",Technical ,Data Scientist
717
+ What do you mean by docStrings?,Technical ,Data Scientist
718
+ What happens to memory whenever python exists?,Technical ,Data Scientist
719
+ Why do we use negative indexes in Python?,Technical ,Data Scientist
720
+ What is the difference between deep and shallow copy?,Technical ,Data Scientist
721
+ What do you mean by the term Monkey patching?,Technical ,Data Scientist
722
+ Write a program to produce a Fibonacci series in Python.,Technical ,Data Scientist
723
+ Which is better: Django or Python?,Technical ,Data Scientist
724
+ How would you interpret coefficients of logistic regression for categorical and boolean variables?,Technical ,Data Engineer
725
+ "Let’s say you have analytics data stored in a data lake. An analyst tells you they need hourly, daily, and weekly active user data for a dashboard that refreshes every hour. How would you build this data pipeline?",Technical ,Data Engineer
726
+ "What metrics would you prioritize to evaluate the effectiveness of Netflix’s recommendation algorithm, and how would you interpret the results?",Technical ,Data Engineer
727
+ "How would you design data models to support various analytical queries, such as understanding user engagement or content performance?",Technical ,Data Engineer
728
+ Describe the importance of data governance and metadata management in a large-scale data environment like Netflix.,Technical ,Data Engineer
729
+ Explain the differences between batch processing and streaming processing. When would you choose one over the other for processing Netflix’s user data?,Technical ,Data Engineer
730
+ Describe the importance of data indexing in optimizing query performance for analyzing large datasets at Netflix.,Technical ,Data Engineer
731
+ Explain the significance of data normalization in maintaining data integrity and consistency in Netflix’s database systems.,Technical ,Data Engineer
732
+ How would you design a data pipeline to ingest and process user interaction data from Netflix’s streaming service?,Technical ,Data Engineer
733
+ "How would you collect and aggregate data for multimedia information, specifically when it’s unstructured data from videos?",Technical ,Data Engineer
734
+ Write an SQL query to create a metric to recommend pages for each user based on recommendations from their friend’s liked pages.,Technical ,Data Engineer
735
+ Can you tell us about your experience with data warehousing and ETL processes?,Technical ,Data Engineer
736
+ How do you approach problem-solving in a data engineering context?,Technical ,Data Engineer
737
+ Can you walk us through a recent project you worked on and your role in the project?,Technical ,Data Engineer
738
+ " Can you explain your experience with Hadoop, Spark, or other big data technologies?",Technical ,Data Engineer
739
+ How do you stay up-to-date with the latest developments in the field of data engineering?,Technical ,Data Engineer
740
+ Can you describe a time when you had to work with a large and complex dataset?,Technical ,Data Engineer
741
+ Can you give an example of how you have optimized a data processing pipeline?,Technical ,Data Engineer
742
+ How do you ensure the data you work with is secure and confidential?,Technical ,Data Engineer
743
+ Can you tell us about a particularly challenging project you have worked on and how you overcame the challenges?,Technical ,Data Engineer
744
+ Can you tell us about your experience with data visualization and reporting tools?,Technical ,Data Engineer
745
+ Can you explain the basics of distributed systems and how they work?,Technical ,Data Engineer
746
+ "Can you describe a recent project you worked on involving data processing and analysis, and what technologies and tools you used?",Technical ,Data Engineer
747
+ "Can you explain the difference between a relational database and a NoSQL database, and give examples of when you would use each?",Technical ,Data Engineer
748
+ Can you write a SQL query to extract and analyse data from a database?,Technical ,Data Engineer
749
+ Can you explain how you would design and implement a scalable data storage solution for a growing dataset?,Technical ,Data Engineer
750
+ Can you explain how you would optimize a data processing pipeline for performance and efficiency?,Technical ,Data Engineer
751
+ Can you explain the basics of machine learning and give an example of a project you worked on using this technology?,Technical ,Data Engineer
752
+ Can you explain how you would handle data privacy and security concerns in a data storage and processing solution?,Technical ,Data Engineer
753
+ "Can you describe a recent challenge you faced in your work as a data engineer, and how you overcame it?",Technical ,Data Engineer
754
+ Can you explain how you keep up with the latest developments and trends in data engineering and related technologies?,Technical ,Data Engineer
755
+ Can you explain your experience with data modelling and how you have designed and optimized data models for different use cases?,Technical ,Data Engineer
756
+ How would you design a scalable and fault-tolerant data processing pipeline for large-scale data?,Technical ,Data Engineer
757
+ "Can you walk us through your experience with cloud computing, and how you have designed and deployed data processing applications on AWS or other cloud platforms?",Technical ,Data Engineer
758
+ How do you approach performance optimization in data processing and storage systems? Can you give an example of a performance optimization problem you faced and how you solved it?,Technical ,Data Engineer
759
+ Can you explain how you would implement a real-time recommendation engine that processes data from multiple sources and provides personalized recommendations to users?,Technical ,Data Engineer
760
+ How do you handle data quality issues in your data processing pipelines? Can you give an example of a data quality issue you faced and how you solved it?,Technical ,Data Engineer
761
+ Can you explain your experience with SQL and how you have optimized SQL queries for large-scale data processing?,Technical ,Data Engineer
762
+ Can you tell us about a difficult technical problem you faced in a previous project and how you solved it?,Technical ,Data Engineer
763
+ How will you transform unstructured data into structured data?,Technical ,Data Engineer
764
+ What is the process of validating a data migration from one data source to another?,Technical ,Data Engineer
765
+ Define Hadoop. How is it connected to Big Data? ,Technical ,Data Engineer
766
+ Are you more database-centric or pipeline-centric?,Technical ,Data Engineer
767
+ Talk about a distributed system you built and how you engineered it?,Technical ,Data Engineer
768
+ "For proficient data processing, which Python libraries will you use?",Technical ,Data Engineer
769
+ Talk about your experience using PostgreSQL or other RDBMS.,Technical ,Data Engineer
770
+ Do you have an understanding of NoSQL databases? Elaborate on it. ,Technical ,Data Engineer
771
+ Do you know how to build and maintain data pipelines using Kafka (or similar)?,Technical ,Data Engineer
772
+ How will you diagnose a performance issue in a Spark job?,Technical ,Data Engineer
773
+ How will you design a video streaming service such as YouTube or Netflix?,Technical ,Data Engineer
774
+ How would you optimize a slow-running SQL query that’s processing terabytes of data?,Technical ,Data Engineer
775
+ Compare batch and stream processing. When would you choose one over the other?,Technical ,Data Engineer
776
+ "Design a data pipeline that ingests, processes, and stores user viewing data from millions of devices.",Technical ,Data Engineer
777
+ How would you ensure data quality in a real-time streaming environment?,Technical ,Data Engineer
778
+ Explain how you would implement a real-time recommendation system using Kafka and Flink.,Technical ,Data Engineer
779
+ How Would You Handle a Large Dataset That Exceeds Your Machine’s Memory?,Technical ,Data Engineer
780
+ Explain the Difference Between Overfitting and Underfitting.,Technical ,Data Engineer
781
+ Describe a Time You Used Data to Make a Decision.,Technical ,Data Engineer
782
+ How Do You Ensure the Quality of Your Data?,Technical ,Data Engineer
783
+ "What Is Your Favorite Algorithm, and Why?",Technical ,Data Engineer
784
+ What are the basic assumptions of A/B testing? Do you have experience in A/B testing?,Technical ,Data Engineer
785
+ "Given a month's worth of login data from Netflix such as account_id, device_id, and metadata concerning payments, how would you detect fraud?",Technical ,Data Engineer
786
+ "Given a single day with a large sample size and a significant test result, would you end the experiment?",Technical ,Data Engineer
787
+ How do you know if one algorithm is better than the other?,Technical ,Data Engineer
788
+ How would you use ANOVA to determine if there is a significant difference in the mean satisfaction levels among customers from different regions?,Technical ,Data Engineer
789
+ How would you use a simple join to combine data from two tables?,Technical ,Data Engineer
790
+ How would you design an experiment for a new feature we're thinking about. What metrics would matter?,Technical ,Data Engineer
791
+ Explain p-value.,Technical ,Data Engineer
792
+ Can you explain the concept of causal inference and give an example of its application in a real-world scenario?,Technical ,Data Engineer
793
+ Can you provide an example of a real-world application of dimensionality reduction techniques and how they were used?,Technical ,Data Engineer
794
+ Can you discuss a time when you had to handle imbalanced data in a machine learning model? How did you approach the problem?,Technical ,Data Engineer
795
+ Can you explain the concept of overfitting and how to avoid it in a machine learning model?,Technical ,Data Engineer