Spark ETL Pipelines MCQ Questions with Answers (Latest 2026)

Q1. Which option best describes an ETL job in Spark?

A. A pure REST app. B. A pure log only. C. A pure cache only. D. Read sources, transform, write sinks.

Select an answer to check.

Answer: Read sources, transform, write sinks.

Here, Read sources, transform, write sinks. is the right choice. Common Spark workload. It aligns directly with what the question asks about which option best describes an etl job in. A quick elimination of partially true options helps confirm it.

Q2. What is the primary purpose of an ETL job in Spark?

A. A pure cache only. B. Read sources, transform, write sinks. C. A pure REST app. D. A pure log only.

Select an answer to check.

Answer: Read sources, transform, write sinks.

In this case, Read sources, transform, write sinks. is correct. Common Spark workload. It aligns directly with what the question asks about what is the primary purpose of an etl. A quick elimination of partially true options helps confirm it.

Q3. Which statement about an ETL job in Spark is most accurate?

A. Read sources, transform, write sinks. B. A pure cache only. C. A pure REST app. D. A pure log only.

Select an answer to check.

Answer: Read sources, transform, write sinks.

The best option here is Read sources, transform, write sinks.. Common Spark workload. It aligns directly with what the question asks about which statement about an etl job in spark. A quick elimination of partially true options helps confirm it.

Q4. How is an ETL job in Spark best characterized?

A. Read sources, transform, write sinks. B. A pure cache only. C. A pure REST app. D. A pure log only.

Select an answer to check.

Answer: Read sources, transform, write sinks.

For this question, Read sources, transform, write sinks. is correct. Common Spark workload. It aligns directly with what the question asks about how is an etl job in spark best. A quick elimination of partially true options helps confirm it.

Q5. Which option best describes source readers?

A. A pure log. B. A pure broadcast. C. A pure cache. D. spark.read with formats and options.

Select an answer to check.

Answer: spark.read with formats and options.

spark.read with formats and options. is the correct answer here. Parquet, JDBC, Kafka, etc. It aligns directly with what the question asks about which option best describes source readers. A quick elimination of partially true options helps confirm it.

Q6. What is the primary purpose of source readers?

A. spark.read with formats and options. B. A pure cache. C. A pure log. D. A pure broadcast.

Select an answer to check.

Answer: spark.read with formats and options.

Here, spark.read with formats and options. is the right choice. Parquet, JDBC, Kafka, etc. This matches the core idea being tested around what is the primary purpose of source readers. A quick elimination of partially true options helps confirm it.

Q7. Which statement about source readers is most accurate?

A. A pure log. B. spark.read with formats and options. C. A pure cache. D. A pure broadcast.

Select an answer to check.

Answer: spark.read with formats and options.

In this case, spark.read with formats and options. is correct. Parquet, JDBC, Kafka, etc. This matches the core idea being tested around which statement about source readers is most accurate. A quick elimination of partially true options helps confirm it.

Q8. How is source readers best characterized?

A. A pure cache. B. spark.read with formats and options. C. A pure broadcast. D. A pure log.

Select an answer to check.

Answer: spark.read with formats and options.

The best option here is spark.read with formats and options.. Parquet, JDBC, Kafka, etc. This matches the core idea being tested around how is source readers best characterized. A quick elimination of partially true options helps confirm it.

Q9. Which option best describes sink writers?

A. A pure cache. B. df.write with formats/modes/partitions. C. A pure log. D. A pure broadcast.

Select an answer to check.

Answer: df.write with formats/modes/partitions.

For this question, df.write with formats/modes/partitions. is correct. Append/overwrite/error/ignore. This matches the core idea being tested around which option best describes sink writers. A quick elimination of partially true options helps confirm it.

Q10. What is the primary purpose of sink writers?

A. A pure cache. B. df.write with formats/modes/partitions. C. A pure broadcast. D. A pure log.

Select an answer to check.

Answer: df.write with formats/modes/partitions.

df.write with formats/modes/partitions. is the correct answer here. Append/overwrite/error/ignore. This matches the core idea being tested around what is the primary purpose of sink writers. A quick elimination of partially true options helps confirm it.

Q11. Which statement about sink writers is most accurate?

A. A pure log. B. A pure cache. C. A pure broadcast. D. df.write with formats/modes/partitions.

Select an answer to check.

Answer: df.write with formats/modes/partitions.

Here, df.write with formats/modes/partitions. is the right choice. Append/overwrite/error/ignore. That is exactly the concept behind which statement about sink writers is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q12. How is sink writers best characterized?

A. A pure broadcast. B. A pure cache. C. df.write with formats/modes/partitions. D. A pure log.

Select an answer to check.

Answer: df.write with formats/modes/partitions.

In this case, df.write with formats/modes/partitions. is correct. Append/overwrite/error/ignore. That is exactly the concept behind how is sink writers best characterized in this context. A quick elimination of partially true options helps confirm it.

Q13. Which option best describes incremental ingest?

A. Always full reload. B. Read only new/changed data. C. Random sampling. D. Pure cache only.

Select an answer to check.

Answer: Read only new/changed data.

The best option here is Read only new/changed data.. Watermarks/CDC patterns. That is exactly the concept behind which option best describes incremental ingest in this context. A quick elimination of partially true options helps confirm it.

Q14. What is the primary purpose of incremental ingest?

A. Always full reload. B. Pure cache only. C. Read only new/changed data. D. Random sampling.

Select an answer to check.

Answer: Read only new/changed data.

For this question, Read only new/changed data. is correct. Watermarks/CDC patterns. That is exactly the concept behind what is the primary purpose of incremental ingest in this context. A quick elimination of partially true options helps confirm it.

Q15. Which statement about incremental ingest is most accurate?

A. Pure cache only. B. Random sampling. C. Read only new/changed data. D. Always full reload.

Select an answer to check.

Answer: Read only new/changed data.

Read only new/changed data. is the correct answer here. Watermarks/CDC patterns. That is exactly the concept behind which statement about incremental ingest is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q16. How is incremental ingest best characterized?

A. Random sampling. B. Pure cache only. C. Always full reload. D. Read only new/changed data.

Select an answer to check.

Answer: Read only new/changed data.

Here, Read only new/changed data. is the right choice. Watermarks/CDC patterns. It fits the requirement in the prompt about how is incremental ingest best characterized. A quick elimination of partially true options helps confirm it.

Q17. Which option best describes Delta MERGE INTO?

A. INSERT only. B. Idempotent upserts on Delta tables. C. SELECT only. D. DELETE only.

Select an answer to check.

Answer: Idempotent upserts on Delta tables.

In this case, Idempotent upserts on Delta tables. is correct. Common in CDC pipelines. It fits the requirement in the prompt about which option best describes delta merge into. A quick elimination of partially true options helps confirm it.

Q18. What is the primary purpose of Delta MERGE INTO?

A. INSERT only. B. SELECT only. C. DELETE only. D. Idempotent upserts on Delta tables.

Select an answer to check.

Answer: Idempotent upserts on Delta tables.

The best option here is Idempotent upserts on Delta tables.. Common in CDC pipelines. It fits the requirement in the prompt about what is the primary purpose of delta merge. A quick elimination of partially true options helps confirm it.

Q19. Which statement about Delta MERGE INTO is most accurate?

A. SELECT only. B. DELETE only. C. Idempotent upserts on Delta tables. D. INSERT only.

Select an answer to check.

Answer: Idempotent upserts on Delta tables.

For this question, Idempotent upserts on Delta tables. is correct. Common in CDC pipelines. It fits the requirement in the prompt about which statement about delta merge into is most. A quick elimination of partially true options helps confirm it.

Q20. How is Delta MERGE INTO best characterized?

A. SELECT only. B. DELETE only. C. Idempotent upserts on Delta tables. D. INSERT only.

Select an answer to check.

Answer: Idempotent upserts on Delta tables.

Idempotent upserts on Delta tables. is the correct answer here. Common in CDC pipelines. It fits the requirement in the prompt about how is delta merge into best characterized. A quick elimination of partially true options helps confirm it.

Q21. Which option best describes partitioned writes?

A. Pure bucketing only. B. Partition output by date/region. C. Single file always. D. Pure cache.

Select an answer to check.

Answer: Partition output by date/region.

Here, Partition output by date/region. is the right choice. Improves downstream pruning. This is the most accurate statement for which option best describes partitioned writes. A quick elimination of partially true options helps confirm it.

Q22. What is the primary purpose of partitioned writes?

A. Single file always. B. Pure bucketing only. C. Partition output by date/region. D. Pure cache.

Select an answer to check.

Answer: Partition output by date/region.

In this case, Partition output by date/region. is correct. Improves downstream pruning. This is the most accurate statement for what is the primary purpose of partitioned writes. A quick elimination of partially true options helps confirm it.

Q23. Which statement about partitioned writes is most accurate?

A. Pure cache. B. Partition output by date/region. C. Single file always. D. Pure bucketing only.

Select an answer to check.

Answer: Partition output by date/region.

The best option here is Partition output by date/region.. Improves downstream pruning. This is the most accurate statement for which statement about partitioned writes is most accurate. A quick elimination of partially true options helps confirm it.

Q24. How is partitioned writes best characterized?

A. Pure cache. B. Pure bucketing only. C. Partition output by date/region. D. Single file always.

Select an answer to check.

Answer: Partition output by date/region.

For this question, Partition output by date/region. is correct. Improves downstream pruning. This is the most accurate statement for how is partitioned writes best characterized. A quick elimination of partially true options helps confirm it.

Q25. Which option best describes bucketed writes?

A. Hash bucket data for faster joins. B. Pure log. C. Pure cache. D. Random bucketing.

Select an answer to check.

Answer: Hash bucket data for faster joins.

Hash bucket data for faster joins. is the correct answer here. Hive-compatible. This is the most accurate statement for which option best describes bucketed writes. A quick elimination of partially true options helps confirm it.

Q26. What is the primary purpose of bucketed writes?

A. Pure log. B. Pure cache. C. Hash bucket data for faster joins. D. Random bucketing.

Select an answer to check.

Answer: Hash bucket data for faster joins.

Here, Hash bucket data for faster joins. is the right choice. Hive-compatible. It aligns directly with what the question asks about what is the primary purpose of bucketed writes. The other options are either incomplete or contextually incorrect.

Q27. Which statement about bucketed writes is most accurate?

A. Pure cache. B. Hash bucket data for faster joins. C. Pure log. D. Random bucketing.

Select an answer to check.

Answer: Hash bucket data for faster joins.

In this case, Hash bucket data for faster joins. is correct. Hive-compatible. It aligns directly with what the question asks about which statement about bucketed writes is most accurate. The other options are either incomplete or contextually incorrect.

Q28. How is bucketed writes best characterized?

A. Hash bucket data for faster joins. B. Pure cache. C. Pure log. D. Random bucketing.

Select an answer to check.

Answer: Hash bucket data for faster joins.

The best option here is Hash bucket data for faster joins.. Hive-compatible. It aligns directly with what the question asks about how is bucketed writes best characterized. The other options are either incomplete or contextually incorrect.

Q29. Which option best describes idempotent writes?

A. Re-runs produce same target state. B. Insert blindly always. C. Random writes. D. Pure log.

Select an answer to check.

Answer: Re-runs produce same target state.

For this question, Re-runs produce same target state. is correct. MERGE or overwrite-by-partition. It aligns directly with what the question asks about which option best describes idempotent writes. The other options are either incomplete or contextually incorrect.

Q30. What is the primary purpose of idempotent writes?

A. Pure log. B. Random writes. C. Re-runs produce same target state. D. Insert blindly always.

Select an answer to check.

Answer: Re-runs produce same target state.

Re-runs produce same target state. is the correct answer here. MERGE or overwrite-by-partition. It aligns directly with what the question asks about what is the primary purpose of idempotent writes. The other options are either incomplete or contextually incorrect.

Q31. Which statement about idempotent writes is most accurate?

A. Random writes. B. Re-runs produce same target state. C. Insert blindly always. D. Pure log.

Select an answer to check.

Answer: Re-runs produce same target state.

Here, Re-runs produce same target state. is the right choice. MERGE or overwrite-by-partition. This matches the core idea being tested around which statement about idempotent writes is most accurate. The other options are either incomplete or contextually incorrect.

Q32. How is idempotent writes best characterized?

A. Pure log. B. Random writes. C. Re-runs produce same target state. D. Insert blindly always.

Select an answer to check.

Answer: Re-runs produce same target state.

In this case, Re-runs produce same target state. is correct. MERGE or overwrite-by-partition. This matches the core idea being tested around how is idempotent writes best characterized. The other options are either incomplete or contextually incorrect.

Q33. Which option best describes schema enforcement?

A. Pure inference. B. Always accept. C. Pure log. D. Reject mismatched data on write.

Select an answer to check.

Answer: Reject mismatched data on write.

The best option here is Reject mismatched data on write.. Avoids silent corruption. This matches the core idea being tested around which option best describes schema enforcement. The other options are either incomplete or contextually incorrect.

Q34. What is the primary purpose of schema enforcement?

A. Pure log. B. Always accept. C. Pure inference. D. Reject mismatched data on write.

Select an answer to check.

Answer: Reject mismatched data on write.

For this question, Reject mismatched data on write. is correct. Avoids silent corruption. This matches the core idea being tested around what is the primary purpose of schema enforcement. The other options are either incomplete or contextually incorrect.

Q35. Which statement about schema enforcement is most accurate?

A. Reject mismatched data on write. B. Always accept. C. Pure inference. D. Pure log.

Select an answer to check.

Answer: Reject mismatched data on write.

Reject mismatched data on write. is the correct answer here. Avoids silent corruption. This matches the core idea being tested around which statement about schema enforcement is most accurate. The other options are either incomplete or contextually incorrect.

Q36. How is schema enforcement best characterized?

A. Always accept. B. Reject mismatched data on write. C. Pure inference. D. Pure log.

Select an answer to check.

Answer: Reject mismatched data on write.

Here, Reject mismatched data on write. is the right choice. Avoids silent corruption. That is exactly the concept behind how is schema enforcement best characterized in this context. The other options are either incomplete or contextually incorrect.

Q37. Which option best describes schema evolution?

A. Pure manual edits. B. Always full reload. C. Allow controlled schema changes. D. Schema is frozen.

Select an answer to check.

Answer: Allow controlled schema changes.

In this case, Allow controlled schema changes. is correct. Delta/Iceberg/Hudi support. That is exactly the concept behind which option best describes schema evolution in this context. The other options are either incomplete or contextually incorrect.

Q38. What is the primary purpose of schema evolution?

A. Always full reload. B. Allow controlled schema changes. C. Schema is frozen. D. Pure manual edits.

Select an answer to check.

Answer: Allow controlled schema changes.

The best option here is Allow controlled schema changes.. Delta/Iceberg/Hudi support. That is exactly the concept behind what is the primary purpose of schema evolution in this context. The other options are either incomplete or contextually incorrect.

Q39. Which statement about schema evolution is most accurate?

A. Schema is frozen. B. Allow controlled schema changes. C. Pure manual edits. D. Always full reload.

Select an answer to check.

Answer: Allow controlled schema changes.

For this question, Allow controlled schema changes. is correct. Delta/Iceberg/Hudi support. That is exactly the concept behind which statement about schema evolution is most accurate in this context. The other options are either incomplete or contextually incorrect.

Q40. How is schema evolution best characterized?

A. Allow controlled schema changes. B. Schema is frozen. C. Always full reload. D. Pure manual edits.

Select an answer to check.

Answer: Allow controlled schema changes.

Allow controlled schema changes. is the correct answer here. Delta/Iceberg/Hudi support. That is exactly the concept behind how is schema evolution best characterized in this context. The other options are either incomplete or contextually incorrect.

Q41. Which option best describes medallion architecture?

A. Single tier only. B. Pure star only. C. Pure snowflake only. D. Bronze/Silver/Gold tiers.

Select an answer to check.

Answer: Bronze/Silver/Gold tiers.

Here, Bronze/Silver/Gold tiers. is the right choice. Progressive refinement. It fits the requirement in the prompt about which option best describes medallion architecture. The other options are either incomplete or contextually incorrect.

Q42. What is the primary purpose of medallion architecture?

A. Bronze/Silver/Gold tiers. B. Pure snowflake only. C. Pure star only. D. Single tier only.

Select an answer to check.

Answer: Bronze/Silver/Gold tiers.

In this case, Bronze/Silver/Gold tiers. is correct. Progressive refinement. It fits the requirement in the prompt about what is the primary purpose of medallion architecture. The other options are either incomplete or contextually incorrect.

Q43. Which statement about medallion architecture is most accurate?

A. Bronze/Silver/Gold tiers. B. Pure star only. C. Pure snowflake only. D. Single tier only.

Select an answer to check.

Answer: Bronze/Silver/Gold tiers.

The best option here is Bronze/Silver/Gold tiers.. Progressive refinement. It fits the requirement in the prompt about which statement about medallion architecture is most accurate. The other options are either incomplete or contextually incorrect.

Q44. How is medallion architecture best characterized?

A. Bronze/Silver/Gold tiers. B. Single tier only. C. Pure star only. D. Pure snowflake only.

Select an answer to check.

Answer: Bronze/Silver/Gold tiers.

For this question, Bronze/Silver/Gold tiers. is correct. Progressive refinement. It fits the requirement in the prompt about how is medallion architecture best characterized. The other options are either incomplete or contextually incorrect.

Q45. Which option best describes file compaction (OPTIMIZE)?

A. Merge small files for faster scans. B. Pure rewrites of single rows. C. Always small files. D. Pure deletes.

Select an answer to check.

Answer: Merge small files for faster scans.

Merge small files for faster scans. is the correct answer here. Schedule periodically. It fits the requirement in the prompt about which option best describes file compaction (optimize). The other options are either incomplete or contextually incorrect.

Q46. What is the primary purpose of file compaction (OPTIMIZE)?

A. Always small files. B. Merge small files for faster scans. C. Pure rewrites of single rows. D. Pure deletes.

Select an answer to check.

Answer: Merge small files for faster scans.

Here, Merge small files for faster scans. is the right choice. Schedule periodically. This is the most accurate statement for what is the primary purpose of file compaction. The other options are either incomplete or contextually incorrect.

Q47. Which statement about file compaction (OPTIMIZE) is most accurate?

A. Pure deletes. B. Always small files. C. Merge small files for faster scans. D. Pure rewrites of single rows.

Select an answer to check.

Answer: Merge small files for faster scans.

In this case, Merge small files for faster scans. is correct. Schedule periodically. This is the most accurate statement for which statement about file compaction (optimize) is most. The other options are either incomplete or contextually incorrect.

Q48. How is file compaction (OPTIMIZE) best characterized?

A. Merge small files for faster scans. B. Always small files. C. Pure rewrites of single rows. D. Pure deletes.

Select an answer to check.

Answer: Merge small files for faster scans.

The best option here is Merge small files for faster scans.. Schedule periodically. This is the most accurate statement for how is file compaction (optimize) best characterized. The other options are either incomplete or contextually incorrect.

Q49. Which option best describes Z-ORDER?

A. Random ordering. B. Pure indexing only. C. Pure partitioning only. D. Cluster files on hot columns.

Select an answer to check.

Answer: Cluster files on hot columns.

For this question, Cluster files on hot columns. is correct. Selective scans benefit. This is the most accurate statement for which option best describes z-order. The other options are either incomplete or contextually incorrect.

Q50. What is the primary purpose of Z-ORDER?

A. Pure partitioning only. B. Cluster files on hot columns. C. Pure indexing only. D. Random ordering.

Select an answer to check.

Answer: Cluster files on hot columns.

Cluster files on hot columns. is the correct answer here. Selective scans benefit. This is the most accurate statement for what is the primary purpose of z-order. The other options are either incomplete or contextually incorrect.