shl-recommender-api / data /concepts_cache /apache-spark-new.json
pankaj
SHL recommender — initial deploy
870800f
{
"key_concepts": [
"RDD transformations (map, filter, flatMap, groupByKey)",
"RDD actions (collect, reduce, count, saveAsTextFile)",
"Lazy evaluation and execution triggers",
"Lineage graphs and recomputation for fault tolerance",
"RDD immutability and persistence/caching semantics",
"DAG/stage concepts and job scheduling in Spark"
],
"primary_domain": "technical",
"use_cases": [
"Screening candidates for data-engineer or Spark developer roles to verify practical knowledge of RDD APIs and execution model",
"Assessing learning outcomes after a Spark training focused on core RDD concepts (transformations, actions, lazy evaluation)",
"Validating candidates' understanding of Spark fault-tolerance and execution planning for roles requiring performance debugging or optimization"
]
}