Spark RDD Basics MCQ Questions with Answers (Latest 2026)

Q1. Which option best describes an RDD?

A. Resilient Distributed Dataset. B. A DataFrame. C. A pure list. D. A pure stream.

Select an answer to check.

Answer: Resilient Distributed Dataset.

Here, Resilient Distributed Dataset. is the right choice. Low-level Spark abstraction. It aligns directly with what the question asks about which option best describes an rdd. A quick elimination of partially true options helps confirm it.

Q2. What is the primary purpose of an RDD?

A. A pure list. B. A DataFrame. C. A pure stream. D. Resilient Distributed Dataset.

Select an answer to check.

Answer: Resilient Distributed Dataset.

In this case, Resilient Distributed Dataset. is correct. Low-level Spark abstraction. It aligns directly with what the question asks about what is the primary purpose of an rdd. A quick elimination of partially true options helps confirm it.

Q3. Which statement about an RDD is most accurate?

A. A DataFrame. B. A pure stream. C. A pure list. D. Resilient Distributed Dataset.

Select an answer to check.

Answer: Resilient Distributed Dataset.

The best option here is Resilient Distributed Dataset.. Low-level Spark abstraction. It aligns directly with what the question asks about which statement about an rdd is most accurate. A quick elimination of partially true options helps confirm it.

Q4. How is an RDD best characterized?

A. Resilient Distributed Dataset. B. A pure stream. C. A pure list. D. A DataFrame.

Select an answer to check.

Answer: Resilient Distributed Dataset.

For this question, Resilient Distributed Dataset. is correct. Low-level Spark abstraction. It aligns directly with what the question asks about how is an rdd best characterized. A quick elimination of partially true options helps confirm it.

Q5. Which option best describes RDD immutability?

A. Mutable in place. B. RDDs cannot be modified in place. C. Random mutation. D. Pure references.

Select an answer to check.

Answer: RDDs cannot be modified in place.

RDDs cannot be modified in place. is the correct answer here. Transformations create new RDDs. It aligns directly with what the question asks about which option best describes rdd immutability. A quick elimination of partially true options helps confirm it.

Q6. What is the primary purpose of RDD immutability?

A. Random mutation. B. Mutable in place. C. RDDs cannot be modified in place. D. Pure references.

Select an answer to check.

Answer: RDDs cannot be modified in place.

Here, RDDs cannot be modified in place. is the right choice. Transformations create new RDDs. This matches the core idea being tested around what is the primary purpose of rdd immutability. A quick elimination of partially true options helps confirm it.

Q7. Which statement about RDD immutability is most accurate?

A. RDDs cannot be modified in place. B. Mutable in place. C. Random mutation. D. Pure references.

Select an answer to check.

Answer: RDDs cannot be modified in place.

In this case, RDDs cannot be modified in place. is correct. Transformations create new RDDs. This matches the core idea being tested around which statement about rdd immutability is most accurate. A quick elimination of partially true options helps confirm it.

Q8. How is RDD immutability best characterized?

A. Random mutation. B. RDDs cannot be modified in place. C. Pure references. D. Mutable in place.

Select an answer to check.

Answer: RDDs cannot be modified in place.

The best option here is RDDs cannot be modified in place.. Transformations create new RDDs. This matches the core idea being tested around how is rdd immutability best characterized. A quick elimination of partially true options helps confirm it.

Q9. Which option best describes RDD partitions?

A. Pure rows. B. Single partition only. C. Pure caches. D. Logical chunks processed in parallel.

Select an answer to check.

Answer: Logical chunks processed in parallel.

For this question, Logical chunks processed in parallel. is correct. Parallelism unit. This matches the core idea being tested around which option best describes rdd partitions. A quick elimination of partially true options helps confirm it.

Q10. What is the primary purpose of RDD partitions?

A. Single partition only. B. Pure rows. C. Logical chunks processed in parallel. D. Pure caches.

Select an answer to check.

Answer: Logical chunks processed in parallel.

Logical chunks processed in parallel. is the correct answer here. Parallelism unit. This matches the core idea being tested around what is the primary purpose of rdd partitions. A quick elimination of partially true options helps confirm it.

Q11. Which statement about RDD partitions is most accurate?

A. Pure caches. B. Logical chunks processed in parallel. C. Single partition only. D. Pure rows.

Select an answer to check.

Answer: Logical chunks processed in parallel.

Here, Logical chunks processed in parallel. is the right choice. Parallelism unit. That is exactly the concept behind which statement about rdd partitions is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q12. How is RDD partitions best characterized?

A. Pure caches. B. Single partition only. C. Pure rows. D. Logical chunks processed in parallel.

Select an answer to check.

Answer: Logical chunks processed in parallel.

In this case, Logical chunks processed in parallel. is correct. Parallelism unit. That is exactly the concept behind how is rdd partitions best characterized in this context. A quick elimination of partially true options helps confirm it.

Q13. Which option best describes RDD lineage?

A. Pure caches. B. Pure scheduler info. C. DAG of transformations from source RDDs. D. Pure runtime logs.

Select an answer to check.

Answer: DAG of transformations from source RDDs.

The best option here is DAG of transformations from source RDDs.. Used for fault tolerance. That is exactly the concept behind which option best describes rdd lineage in this context. A quick elimination of partially true options helps confirm it.

Q14. What is the primary purpose of RDD lineage?

A. Pure scheduler info. B. DAG of transformations from source RDDs. C. Pure runtime logs. D. Pure caches.

Select an answer to check.

Answer: DAG of transformations from source RDDs.

For this question, DAG of transformations from source RDDs. is correct. Used for fault tolerance. That is exactly the concept behind what is the primary purpose of rdd lineage in this context. A quick elimination of partially true options helps confirm it.

Q15. Which statement about RDD lineage is most accurate?

A. Pure scheduler info. B. Pure caches. C. DAG of transformations from source RDDs. D. Pure runtime logs.

Select an answer to check.

Answer: DAG of transformations from source RDDs.

DAG of transformations from source RDDs. is the correct answer here. Used for fault tolerance. That is exactly the concept behind which statement about rdd lineage is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q16. How is RDD lineage best characterized?

A. Pure caches. B. Pure runtime logs. C. DAG of transformations from source RDDs. D. Pure scheduler info.

Select an answer to check.

Answer: DAG of transformations from source RDDs.

Here, DAG of transformations from source RDDs. is the right choice. Used for fault tolerance. It fits the requirement in the prompt about how is rdd lineage best characterized. A quick elimination of partially true options helps confirm it.

Q17. Which option best describes fault tolerance via lineage?

A. Pure backups only. B. Recompute lost partitions from lineage. C. Pure replication only. D. Pure manual restart.

Select an answer to check.

Answer: Recompute lost partitions from lineage.

In this case, Recompute lost partitions from lineage. is correct. Core RDD principle. It fits the requirement in the prompt about which option best describes fault tolerance via lineage. A quick elimination of partially true options helps confirm it.

Q18. What is the primary purpose of fault tolerance via lineage?

A. Pure manual restart. B. Pure replication only. C. Recompute lost partitions from lineage. D. Pure backups only.

Select an answer to check.

Answer: Recompute lost partitions from lineage.

The best option here is Recompute lost partitions from lineage.. Core RDD principle. It fits the requirement in the prompt about what is the primary purpose of fault tolerance. A quick elimination of partially true options helps confirm it.

Q19. Which statement about fault tolerance via lineage is most accurate?

A. Recompute lost partitions from lineage. B. Pure replication only. C. Pure backups only. D. Pure manual restart.

Select an answer to check.

Answer: Recompute lost partitions from lineage.

For this question, Recompute lost partitions from lineage. is correct. Core RDD principle. It fits the requirement in the prompt about which statement about fault tolerance via lineage is. A quick elimination of partially true options helps confirm it.

Q20. How is fault tolerance via lineage best characterized?

A. Pure backups only. B. Pure manual restart. C. Pure replication only. D. Recompute lost partitions from lineage.

Select an answer to check.

Answer: Recompute lost partitions from lineage.

Recompute lost partitions from lineage. is the correct answer here. Core RDD principle. It fits the requirement in the prompt about how is fault tolerance via lineage best characterized. A quick elimination of partially true options helps confirm it.

Q21. Which option best describes narrow transformations?

A. Each input partition feeds one output partition. B. Pure shuffles. C. Wide transformations. D. Pure broadcast.

Select an answer to check.

Answer: Each input partition feeds one output partition.

Here, Each input partition feeds one output partition. is the right choice. Map/filter/union. This is the most accurate statement for which option best describes narrow transformations. A quick elimination of partially true options helps confirm it.

Q22. What is the primary purpose of narrow transformations?

A. Wide transformations. B. Pure shuffles. C. Pure broadcast. D. Each input partition feeds one output partition.

Select an answer to check.

Answer: Each input partition feeds one output partition.

In this case, Each input partition feeds one output partition. is correct. Map/filter/union. This is the most accurate statement for what is the primary purpose of narrow transformations. A quick elimination of partially true options helps confirm it.

Q23. Which statement about narrow transformations is most accurate?

A. Each input partition feeds one output partition. B. Wide transformations. C. Pure broadcast. D. Pure shuffles.

Select an answer to check.

Answer: Each input partition feeds one output partition.

The best option here is Each input partition feeds one output partition.. Map/filter/union. This is the most accurate statement for which statement about narrow transformations is most accurate. A quick elimination of partially true options helps confirm it.

Q24. How is narrow transformations best characterized?

A. Pure shuffles. B. Wide transformations. C. Pure broadcast. D. Each input partition feeds one output partition.

Select an answer to check.

Answer: Each input partition feeds one output partition.

For this question, Each input partition feeds one output partition. is correct. Map/filter/union. This is the most accurate statement for how is narrow transformations best characterized. A quick elimination of partially true options helps confirm it.

Q25. Which option best describes wide transformations?

A. Require shuffles across partitions. B. Narrow only. C. Pure local computations. D. Pure broadcast.

Select an answer to check.

Answer: Require shuffles across partitions.

Require shuffles across partitions. is the correct answer here. GroupByKey/join/reduceByKey. This is the most accurate statement for which option best describes wide transformations. A quick elimination of partially true options helps confirm it.

Q26. What is the primary purpose of wide transformations?

A. Require shuffles across partitions. B. Pure local computations. C. Narrow only. D. Pure broadcast.

Select an answer to check.

Answer: Require shuffles across partitions.

Here, Require shuffles across partitions. is the right choice. GroupByKey/join/reduceByKey. It aligns directly with what the question asks about what is the primary purpose of wide transformations. The other options are either incomplete or contextually incorrect.

Q27. Which statement about wide transformations is most accurate?

A. Pure broadcast. B. Pure local computations. C. Narrow only. D. Require shuffles across partitions.

Select an answer to check.

Answer: Require shuffles across partitions.

In this case, Require shuffles across partitions. is correct. GroupByKey/join/reduceByKey. It aligns directly with what the question asks about which statement about wide transformations is most accurate. The other options are either incomplete or contextually incorrect.

Q28. How is wide transformations best characterized?

A. Narrow only. B. Require shuffles across partitions. C. Pure local computations. D. Pure broadcast.

Select an answer to check.

Answer: Require shuffles across partitions.

The best option here is Require shuffles across partitions.. GroupByKey/join/reduceByKey. It aligns directly with what the question asks about how is wide transformations best characterized. The other options are either incomplete or contextually incorrect.

Q29. Which option best describes map?

A. One-to-one transformation. B. Many-to-one. C. Pure shuffle. D. Pure filter.

Select an answer to check.

Answer: One-to-one transformation.

For this question, One-to-one transformation. is correct. Element-wise. It aligns directly with what the question asks about which option best describes map. The other options are either incomplete or contextually incorrect.

Q30. What is the primary purpose of map?

A. Many-to-one. B. Pure shuffle. C. One-to-one transformation. D. Pure filter.

Select an answer to check.

Answer: One-to-one transformation.

One-to-one transformation. is the correct answer here. Element-wise. It aligns directly with what the question asks about what is the primary purpose of map. The other options are either incomplete or contextually incorrect.

Q31. Which statement about map is most accurate?

A. One-to-one transformation. B. Pure filter. C. Pure shuffle. D. Many-to-one.

Select an answer to check.

Answer: One-to-one transformation.

Here, One-to-one transformation. is the right choice. Element-wise. This matches the core idea being tested around which statement about map is most accurate. The other options are either incomplete or contextually incorrect.

Q32. How is map best characterized?

A. Pure shuffle. B. Pure filter. C. One-to-one transformation. D. Many-to-one.

Select an answer to check.

Answer: One-to-one transformation.

In this case, One-to-one transformation. is correct. Element-wise. This matches the core idea being tested around how is map best characterized. The other options are either incomplete or contextually incorrect.

Q33. Which option best describes flatMap?

A. Pure shuffle. B. One-to-one. C. One-to-many transformation. D. Pure filter.

Select an answer to check.

Answer: One-to-many transformation.

The best option here is One-to-many transformation.. Returns iterables. This matches the core idea being tested around which option best describes flatmap. The other options are either incomplete or contextually incorrect.

Q34. What is the primary purpose of flatMap?

A. Pure shuffle. B. One-to-many transformation. C. One-to-one. D. Pure filter.

Select an answer to check.

Answer: One-to-many transformation.

For this question, One-to-many transformation. is correct. Returns iterables. This matches the core idea being tested around what is the primary purpose of flatmap. The other options are either incomplete or contextually incorrect.

Q35. Which statement about flatMap is most accurate?

A. Pure shuffle. B. One-to-many transformation. C. Pure filter. D. One-to-one.

Select an answer to check.

Answer: One-to-many transformation.

One-to-many transformation. is the correct answer here. Returns iterables. This matches the core idea being tested around which statement about flatmap is most accurate. The other options are either incomplete or contextually incorrect.

Q36. How is flatMap best characterized?

A. Pure filter. B. One-to-many transformation. C. Pure shuffle. D. One-to-one.

Select an answer to check.

Answer: One-to-many transformation.

Here, One-to-many transformation. is the right choice. Returns iterables. That is exactly the concept behind how is flatmap best characterized in this context. The other options are either incomplete or contextually incorrect.

Q37. Which option best describes filter?

A. Pure map. B. Pure shuffle. C. Keep elements matching predicate. D. Pure aggregate.

Select an answer to check.

Answer: Keep elements matching predicate.

In this case, Keep elements matching predicate. is correct. Narrow transformation. That is exactly the concept behind which option best describes filter in this context. The other options are either incomplete or contextually incorrect.

Q38. What is the primary purpose of filter?

A. Keep elements matching predicate. B. Pure aggregate. C. Pure shuffle. D. Pure map.

Select an answer to check.

Answer: Keep elements matching predicate.

The best option here is Keep elements matching predicate.. Narrow transformation. That is exactly the concept behind what is the primary purpose of filter in this context. The other options are either incomplete or contextually incorrect.

Q39. Which statement about filter is most accurate?

A. Pure shuffle. B. Pure map. C. Keep elements matching predicate. D. Pure aggregate.

Select an answer to check.

Answer: Keep elements matching predicate.

For this question, Keep elements matching predicate. is correct. Narrow transformation. That is exactly the concept behind which statement about filter is most accurate in this context. The other options are either incomplete or contextually incorrect.

Q40. How is filter best characterized?

A. Pure aggregate. B. Pure shuffle. C. Pure map. D. Keep elements matching predicate.

Select an answer to check.

Answer: Keep elements matching predicate.

Keep elements matching predicate. is the correct answer here. Narrow transformation. That is exactly the concept behind how is filter best characterized in this context. The other options are either incomplete or contextually incorrect.

Q41. Which option best describes reduceByKey?

A. Pure broadcast. B. Pure filter. C. groupByKey only. D. Aggregate values by key with map-side combine.

Select an answer to check.

Answer: Aggregate values by key with map-side combine.

Here, Aggregate values by key with map-side combine. is the right choice. Prefer over groupByKey when reducing. It fits the requirement in the prompt about which option best describes reducebykey. The other options are either incomplete or contextually incorrect.

Q42. What is the primary purpose of reduceByKey?

A. groupByKey only. B. Pure filter. C. Aggregate values by key with map-side combine. D. Pure broadcast.

Select an answer to check.

Answer: Aggregate values by key with map-side combine.

In this case, Aggregate values by key with map-side combine. is correct. Prefer over groupByKey when reducing. It fits the requirement in the prompt about what is the primary purpose of reducebykey. The other options are either incomplete or contextually incorrect.

Q43. Which statement about reduceByKey is most accurate?

A. Pure filter. B. groupByKey only. C. Aggregate values by key with map-side combine. D. Pure broadcast.

Select an answer to check.

Answer: Aggregate values by key with map-side combine.

The best option here is Aggregate values by key with map-side combine.. Prefer over groupByKey when reducing. It fits the requirement in the prompt about which statement about reducebykey is most accurate. The other options are either incomplete or contextually incorrect.

Q44. How is reduceByKey best characterized?

A. groupByKey only. B. Pure filter. C. Aggregate values by key with map-side combine. D. Pure broadcast.

Select an answer to check.

Answer: Aggregate values by key with map-side combine.

For this question, Aggregate values by key with map-side combine. is correct. Prefer over groupByKey when reducing. It fits the requirement in the prompt about how is reducebykey best characterized. The other options are either incomplete or contextually incorrect.

Q45. Which option best describes groupByKey?

A. reduceByKey. B. Group all values by key (no map-side combine). C. Pure broadcast. D. Pure filter.

Select an answer to check.

Answer: Group all values by key (no map-side combine).

Group all values by key (no map-side combine). is the correct answer here. Avoid for reductions. It fits the requirement in the prompt about which option best describes groupbykey. The other options are either incomplete or contextually incorrect.

Q46. What is the primary purpose of groupByKey?

A. reduceByKey. B. Group all values by key (no map-side combine). C. Pure filter. D. Pure broadcast.

Select an answer to check.

Answer: Group all values by key (no map-side combine).

Here, Group all values by key (no map-side combine). is the right choice. Avoid for reductions. This is the most accurate statement for what is the primary purpose of groupbykey. The other options are either incomplete or contextually incorrect.

Q47. Which statement about groupByKey is most accurate?

A. reduceByKey. B. Group all values by key (no map-side combine). C. Pure broadcast. D. Pure filter.

Select an answer to check.

Answer: Group all values by key (no map-side combine).

In this case, Group all values by key (no map-side combine). is correct. Avoid for reductions. This is the most accurate statement for which statement about groupbykey is most accurate. The other options are either incomplete or contextually incorrect.

Q48. How is groupByKey best characterized?

A. Pure broadcast. B. Pure filter. C. reduceByKey. D. Group all values by key (no map-side combine).

Select an answer to check.

Answer: Group all values by key (no map-side combine).

The best option here is Group all values by key (no map-side combine).. Avoid for reductions. This is the most accurate statement for how is groupbykey best characterized. The other options are either incomplete or contextually incorrect.

Q49. Which option best describes aggregateByKey?

A. Pure broadcast. B. Aggregate with seed and combine logic. C. Pure groupByKey. D. Pure filter.

Select an answer to check.

Answer: Aggregate with seed and combine logic.

For this question, Aggregate with seed and combine logic. is correct. Flexible aggregation. This is the most accurate statement for which option best describes aggregatebykey. The other options are either incomplete or contextually incorrect.

Q50. What is the primary purpose of aggregateByKey?

A. Pure broadcast. B. Aggregate with seed and combine logic. C. Pure groupByKey. D. Pure filter.

Select an answer to check.

Answer: Aggregate with seed and combine logic.

Aggregate with seed and combine logic. is the correct answer here. Flexible aggregation. This is the most accurate statement for what is the primary purpose of aggregatebykey. The other options are either incomplete or contextually incorrect.