Data ETL CDC Basics MCQ Questions with Answers – Page 2 (Latest 2026)

Q51. Which statement about snapshot consistency is most accurate?

A. No consistency. B. Initial snapshot consistent with a starting LSN. C. Pure index rebuild. D. Random consistency.

Select an answer to check.

Answer: Initial snapshot consistent with a starting LSN.

Here, Initial snapshot consistent with a starting LSN. is the right choice. Avoids gaps after switching to streaming. It aligns directly with what the question asks about which statement about snapshot consistency is most accurate. Competing choices sound plausible, but they miss the key condition.

Q52. How is snapshot consistency best characterized?

A. Pure index rebuild. B. No consistency. C. Initial snapshot consistent with a starting LSN. D. Random consistency.

Select an answer to check.

Answer: Initial snapshot consistent with a starting LSN.

In this case, Initial snapshot consistent with a starting LSN. is correct. Avoids gaps after switching to streaming. It aligns directly with what the question asks about how is snapshot consistency best characterized. Competing choices sound plausible, but they miss the key condition.

Q53. Which option best describes CDC throughput?

A. Rate of change events processed. B. Pure schema size. C. Pure latency only. D. Pure index size.

Select an answer to check.

Answer: Rate of change events processed.

The best option here is Rate of change events processed.. Dimension for sizing. It aligns directly with what the question asks about which option best describes cdc throughput. Competing choices sound plausible, but they miss the key condition.

Q54. What is the primary purpose of CDC throughput?

A. Rate of change events processed. B. Pure index size. C. Pure schema size. D. Pure latency only.

Select an answer to check.

Answer: Rate of change events processed.

For this question, Rate of change events processed. is correct. Dimension for sizing. It aligns directly with what the question asks about what is the primary purpose of cdc throughput. Competing choices sound plausible, but they miss the key condition.

Q55. Which statement about CDC throughput is most accurate?

A. Pure schema size. B. Rate of change events processed. C. Pure index size. D. Pure latency only.

Select an answer to check.

Answer: Rate of change events processed.

Rate of change events processed. is the correct answer here. Dimension for sizing. It aligns directly with what the question asks about which statement about cdc throughput is most accurate. Competing choices sound plausible, but they miss the key condition.

Q56. How is CDC throughput best characterized?

A. Pure schema size. B. Pure index size. C. Pure latency only. D. Rate of change events processed.

Select an answer to check.

Answer: Rate of change events processed.

Here, Rate of change events processed. is the right choice. Dimension for sizing. This matches the core idea being tested around how is cdc throughput best characterized. Competing choices sound plausible, but they miss the key condition.

Q57. Which option best describes CDC latency?

A. Time from source change to sink visible. B. Pure storage. C. Pure throughput. D. Pure error rate.

Select an answer to check.

Answer: Time from source change to sink visible.

In this case, Time from source change to sink visible. is correct. Streaming SLO. This matches the core idea being tested around which option best describes cdc latency. Competing choices sound plausible, but they miss the key condition.

Q58. What is the primary purpose of CDC latency?

A. Pure storage. B. Pure throughput. C. Time from source change to sink visible. D. Pure error rate.

Select an answer to check.

Answer: Time from source change to sink visible.

The best option here is Time from source change to sink visible.. Streaming SLO. This matches the core idea being tested around what is the primary purpose of cdc latency. Competing choices sound plausible, but they miss the key condition.

Q59. Which statement about CDC latency is most accurate?

A. Pure throughput. B. Time from source change to sink visible. C. Pure storage. D. Pure error rate.

Select an answer to check.

Answer: Time from source change to sink visible.

For this question, Time from source change to sink visible. is correct. Streaming SLO. This matches the core idea being tested around which statement about cdc latency is most accurate. Competing choices sound plausible, but they miss the key condition.

Q60. How is CDC latency best characterized?

A. Pure error rate. B. Time from source change to sink visible. C. Pure storage. D. Pure throughput.

Select an answer to check.

Answer: Time from source change to sink visible.

Time from source change to sink visible. is the correct answer here. Streaming SLO. This matches the core idea being tested around how is cdc latency best characterized. Competing choices sound plausible, but they miss the key condition.

Q61. Which option best describes schema drift handling?

A. Pure manual edits. B. Pure logging only. C. Adapt to source schema changes. D. Always re-bootstrap.

Select an answer to check.

Answer: Adapt to source schema changes.

Here, Adapt to source schema changes. is the right choice. Use schema registry + evolution. That is exactly the concept behind which option best describes schema drift handling in this context. Competing choices sound plausible, but they miss the key condition.

Q62. What is the primary purpose of schema drift handling?

A. Adapt to source schema changes. B. Pure manual edits. C. Always re-bootstrap. D. Pure logging only.

Select an answer to check.

Answer: Adapt to source schema changes.

In this case, Adapt to source schema changes. is correct. Use schema registry + evolution. That is exactly the concept behind what is the primary purpose of schema drift in this context. Competing choices sound plausible, but they miss the key condition.

Q63. Which statement about schema drift handling is most accurate?

A. Always re-bootstrap. B. Pure manual edits. C. Pure logging only. D. Adapt to source schema changes.

Select an answer to check.

Answer: Adapt to source schema changes.

The best option here is Adapt to source schema changes.. Use schema registry + evolution. That is exactly the concept behind which statement about schema drift handling is most in this context. Competing choices sound plausible, but they miss the key condition.

Q64. How is schema drift handling best characterized?

A. Pure manual edits. B. Pure logging only. C. Always re-bootstrap. D. Adapt to source schema changes.

Select an answer to check.

Answer: Adapt to source schema changes.

For this question, Adapt to source schema changes. is correct. Use schema registry + evolution. That is exactly the concept behind how is schema drift handling best characterized in this context. Competing choices sound plausible, but they miss the key condition.

Q65. Which option best describes backfill of CDC?

A. Pure manual. B. Pure live only. C. Pure cron only. D. Reprocess historical changes if needed.

Select an answer to check.

Answer: Reprocess historical changes if needed.

Reprocess historical changes if needed. is the correct answer here. Plan around log retention. That is exactly the concept behind which option best describes backfill of cdc in this context. Competing choices sound plausible, but they miss the key condition.

Q66. What is the primary purpose of backfill of CDC?

A. Pure cron only. B. Pure manual. C. Pure live only. D. Reprocess historical changes if needed.

Select an answer to check.

Answer: Reprocess historical changes if needed.

Here, Reprocess historical changes if needed. is the right choice. Plan around log retention. It fits the requirement in the prompt about what is the primary purpose of backfill of. Competing choices sound plausible, but they miss the key condition.

Q67. Which statement about backfill of CDC is most accurate?

A. Pure live only. B. Pure manual. C. Pure cron only. D. Reprocess historical changes if needed.

Select an answer to check.

Answer: Reprocess historical changes if needed.

In this case, Reprocess historical changes if needed. is correct. Plan around log retention. It fits the requirement in the prompt about which statement about backfill of cdc is most. Competing choices sound plausible, but they miss the key condition.

Q68. How is backfill of CDC best characterized?

A. Pure manual. B. Pure cron only. C. Pure live only. D. Reprocess historical changes if needed.

Select an answer to check.

Answer: Reprocess historical changes if needed.

The best option here is Reprocess historical changes if needed.. Plan around log retention. It fits the requirement in the prompt about how is backfill of cdc best characterized. Competing choices sound plausible, but they miss the key condition.

Q69. Which option best describes DLQ for CDC?

A. Pure ignore. B. Discard silently. C. Always retry forever. D. Park unparseable/failing events.

Select an answer to check.

Answer: Park unparseable/failing events.

For this question, Park unparseable/failing events. is correct. Operability. It fits the requirement in the prompt about which option best describes dlq for cdc. Competing choices sound plausible, but they miss the key condition.

Q70. What is the primary purpose of DLQ for CDC?

A. Pure ignore. B. Discard silently. C. Park unparseable/failing events. D. Always retry forever.

Select an answer to check.

Answer: Park unparseable/failing events.

Park unparseable/failing events. is the correct answer here. Operability. It fits the requirement in the prompt about what is the primary purpose of dlq for. Competing choices sound plausible, but they miss the key condition.

Q71. Which statement about DLQ for CDC is most accurate?

A. Always retry forever. B. Pure ignore. C. Discard silently. D. Park unparseable/failing events.

Select an answer to check.

Answer: Park unparseable/failing events.

Here, Park unparseable/failing events. is the right choice. Operability. This is the most accurate statement for which statement about dlq for cdc is most. Competing choices sound plausible, but they miss the key condition.

Q72. How is DLQ for CDC best characterized?

A. Always retry forever. B. Discard silently. C. Park unparseable/failing events. D. Pure ignore.

Select an answer to check.

Answer: Park unparseable/failing events.

In this case, Park unparseable/failing events. is correct. Operability. This is the most accurate statement for how is dlq for cdc best characterized. Competing choices sound plausible, but they miss the key condition.

Q73. Which option best describes compaction (Kafka)?

A. Delete all events. B. Keep last value per key in a log. C. Random pruning. D. Pure rotate by time.

Select an answer to check.

Answer: Keep last value per key in a log.

The best option here is Keep last value per key in a log.. Useful for state-like topics. This is the most accurate statement for which option best describes compaction (kafka). Competing choices sound plausible, but they miss the key condition.

Q74. What is the primary purpose of compaction (Kafka)?

A. Delete all events. B. Pure rotate by time. C. Keep last value per key in a log. D. Random pruning.

Select an answer to check.

Answer: Keep last value per key in a log.

For this question, Keep last value per key in a log. is correct. Useful for state-like topics. This is the most accurate statement for what is the primary purpose of compaction (kafka). Competing choices sound plausible, but they miss the key condition.

Q75. Which statement about compaction (Kafka) is most accurate?

A. Pure rotate by time. B. Random pruning. C. Delete all events. D. Keep last value per key in a log.

Select an answer to check.

Answer: Keep last value per key in a log.

Keep last value per key in a log. is the correct answer here. Useful for state-like topics. This is the most accurate statement for which statement about compaction (kafka) is most accurate. Competing choices sound plausible, but they miss the key condition.

Q76. How is compaction (Kafka) best characterized?

A. Pure rotate by time. B. Delete all events. C. Keep last value per key in a log. D. Random pruning.

Select an answer to check.

Answer: Keep last value per key in a log.

Here, Keep last value per key in a log. is the right choice. Useful for state-like topics. It aligns directly with what the question asks about how is compaction (kafka) best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q77. Which option best describes change events: c/u/d?

A. Pure logs only. B. Create/Update/Delete operation type. C. Pure values only. D. Pure schema only.

Select an answer to check.

Answer: Create/Update/Delete operation type.

In this case, Create/Update/Delete operation type. is correct. Sink uses op to apply changes. It aligns directly with what the question asks about which option best describes change events: c/u/d. The remaining choices fail because they don’t satisfy the full definition.

Q78. What is the primary purpose of change events: c/u/d?

A. Pure values only. B. Pure logs only. C. Create/Update/Delete operation type. D. Pure schema only.

Select an answer to check.

Answer: Create/Update/Delete operation type.

The best option here is Create/Update/Delete operation type.. Sink uses op to apply changes. It aligns directly with what the question asks about what is the primary purpose of change events:. The remaining choices fail because they don’t satisfy the full definition.

Q79. Which statement about change events: c/u/d is most accurate?

A. Create/Update/Delete operation type. B. Pure logs only. C. Pure schema only. D. Pure values only.

Select an answer to check.

Answer: Create/Update/Delete operation type.

For this question, Create/Update/Delete operation type. is correct. Sink uses op to apply changes. It aligns directly with what the question asks about which statement about change events: c/u/d is most. The remaining choices fail because they don’t satisfy the full definition.

Q80. How is change events: c/u/d best characterized?

A. Create/Update/Delete operation type. B. Pure values only. C. Pure logs only. D. Pure schema only.

Select an answer to check.

Answer: Create/Update/Delete operation type.

Create/Update/Delete operation type. is the correct answer here. Sink uses op to apply changes. It aligns directly with what the question asks about how is change events: c/u/d best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q81. Which option best describes watermarks vs CDC?

A. No relation. B. Same thing. C. Watermarks bound out-of-order; CDC may need keyed processing. D. Watermarks replace CDC.

Select an answer to check.

Answer: Watermarks bound out-of-order; CDC may need keyed processing.

Here, Watermarks bound out-of-order; CDC may need keyed processing. is the right choice. Combine carefully. This matches the core idea being tested around which option best describes watermarks vs cdc. The remaining choices fail because they don’t satisfy the full definition.

Q82. What is the primary purpose of watermarks vs CDC?

A. Same thing. B. Watermarks bound out-of-order; CDC may need keyed processing. C. Watermarks replace CDC. D. No relation.

Select an answer to check.

Answer: Watermarks bound out-of-order; CDC may need keyed processing.

In this case, Watermarks bound out-of-order; CDC may need keyed processing. is correct. Combine carefully. This matches the core idea being tested around what is the primary purpose of watermarks vs. The remaining choices fail because they don’t satisfy the full definition.

Q83. Which statement about watermarks vs CDC is most accurate?

A. Watermarks replace CDC. B. No relation. C. Watermarks bound out-of-order; CDC may need keyed processing. D. Same thing.

Select an answer to check.

Answer: Watermarks bound out-of-order; CDC may need keyed processing.

The best option here is Watermarks bound out-of-order; CDC may need keyed processing.. Combine carefully. This matches the core idea being tested around which statement about watermarks vs cdc is most. The remaining choices fail because they don’t satisfy the full definition.

Q84. How is watermarks vs CDC best characterized?

A. Watermarks replace CDC. B. No relation. C. Same thing. D. Watermarks bound out-of-order; CDC may need keyed processing.

Select an answer to check.

Answer: Watermarks bound out-of-order; CDC may need keyed processing.

For this question, Watermarks bound out-of-order; CDC may need keyed processing. is correct. Combine carefully. This matches the core idea being tested around how is watermarks vs cdc best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q85. Which option best describes eventual consistency?

A. Pure linearizability. B. Sinks converge after delays. C. No consistency model. D. Pure strong consistency.

Select an answer to check.

Answer: Sinks converge after delays.

Sinks converge after delays. is the correct answer here. Common with CDC. This matches the core idea being tested around which option best describes eventual consistency. The remaining choices fail because they don’t satisfy the full definition.

Q86. What is the primary purpose of eventual consistency?

A. No consistency model. B. Pure linearizability. C. Pure strong consistency. D. Sinks converge after delays.

Select an answer to check.

Answer: Sinks converge after delays.

Here, Sinks converge after delays. is the right choice. Common with CDC. That is exactly the concept behind what is the primary purpose of eventual consistency in this context. The remaining choices fail because they don’t satisfy the full definition.

Q87. Which statement about eventual consistency is most accurate?

A. Pure strong consistency. B. No consistency model. C. Sinks converge after delays. D. Pure linearizability.

Select an answer to check.

Answer: Sinks converge after delays.

In this case, Sinks converge after delays. is correct. Common with CDC. That is exactly the concept behind which statement about eventual consistency is most accurate in this context. The remaining choices fail because they don’t satisfy the full definition.

Q88. How is eventual consistency best characterized?

A. No consistency model. B. Pure strong consistency. C. Sinks converge after delays. D. Pure linearizability.

Select an answer to check.

Answer: Sinks converge after delays.

The best option here is Sinks converge after delays.. Common with CDC. That is exactly the concept behind how is eventual consistency best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.

Q89. Which option best describes data warehouse merge for CDC?

A. INSERT only. B. MERGE into target with key + LSN. C. DELETE only. D. UPDATE only.

Select an answer to check.

Answer: MERGE into target with key + LSN.

For this question, MERGE into target with key + LSN. is correct. Keeps target current. That is exactly the concept behind which option best describes data warehouse merge for in this context. The remaining choices fail because they don’t satisfy the full definition.

Q90. What is the primary purpose of data warehouse merge for CDC?

A. DELETE only. B. MERGE into target with key + LSN. C. UPDATE only. D. INSERT only.

Select an answer to check.

Answer: MERGE into target with key + LSN.

MERGE into target with key + LSN. is the correct answer here. Keeps target current. That is exactly the concept behind what is the primary purpose of data warehouse in this context. The remaining choices fail because they don’t satisfy the full definition.

Q91. Which statement about data warehouse merge for CDC is most accurate?

A. DELETE only. B. INSERT only. C. MERGE into target with key + LSN. D. UPDATE only.

Select an answer to check.

Answer: MERGE into target with key + LSN.

Here, MERGE into target with key + LSN. is the right choice. Keeps target current. It fits the requirement in the prompt about which statement about data warehouse merge for cdc. The remaining choices fail because they don’t satisfy the full definition.

Q92. How is data warehouse merge for CDC best characterized?

A. INSERT only. B. MERGE into target with key + LSN. C. DELETE only. D. UPDATE only.

Select an answer to check.

Answer: MERGE into target with key + LSN.

In this case, MERGE into target with key + LSN. is correct. Keeps target current. It fits the requirement in the prompt about how is data warehouse merge for cdc best. The remaining choices fail because they don’t satisfy the full definition.

Q93. Which option best describes schema mapping?

A. Map source columns to target columns/types. B. Pure case-fold. C. Pure auto inference. D. Pure manual rename.

Select an answer to check.

Answer: Map source columns to target columns/types.

The best option here is Map source columns to target columns/types.. Often config-driven. It fits the requirement in the prompt about which option best describes schema mapping. The remaining choices fail because they don’t satisfy the full definition.

Q94. What is the primary purpose of schema mapping?

A. Map source columns to target columns/types. B. Pure auto inference. C. Pure manual rename. D. Pure case-fold.

Select an answer to check.

Answer: Map source columns to target columns/types.

For this question, Map source columns to target columns/types. is correct. Often config-driven. It fits the requirement in the prompt about what is the primary purpose of schema mapping. The remaining choices fail because they don’t satisfy the full definition.

Q95. Which statement about schema mapping is most accurate?

A. Pure manual rename. B. Map source columns to target columns/types. C. Pure case-fold. D. Pure auto inference.

Select an answer to check.

Answer: Map source columns to target columns/types.

Map source columns to target columns/types. is the correct answer here. Often config-driven. It fits the requirement in the prompt about which statement about schema mapping is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q96. How is schema mapping best characterized?

A. Pure case-fold. B. Pure manual rename. C. Pure auto inference. D. Map source columns to target columns/types.

Select an answer to check.

Answer: Map source columns to target columns/types.

Here, Map source columns to target columns/types. is the right choice. Often config-driven. This is the most accurate statement for how is schema mapping best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q97. Which option best describes connector restart?

A. Always from scratch. B. Resume from last committed offset. C. Pure full reload. D. Pure manual.

Select an answer to check.

Answer: Resume from last committed offset.

In this case, Resume from last committed offset. is correct. Stored in connector state. This is the most accurate statement for which option best describes connector restart. The remaining choices fail because they don’t satisfy the full definition.

Q98. What is the primary purpose of connector restart?

A. Pure manual. B. Pure full reload. C. Always from scratch. D. Resume from last committed offset.

Select an answer to check.

Answer: Resume from last committed offset.

The best option here is Resume from last committed offset.. Stored in connector state. This is the most accurate statement for what is the primary purpose of connector restart. The remaining choices fail because they don’t satisfy the full definition.

Q99. Which statement about connector restart is most accurate?

A. Pure manual. B. Pure full reload. C. Resume from last committed offset. D. Always from scratch.

Select an answer to check.

Answer: Resume from last committed offset.

For this question, Resume from last committed offset. is correct. Stored in connector state. This is the most accurate statement for which statement about connector restart is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q100. How is connector restart best characterized?

A. Pure full reload. B. Pure manual. C. Resume from last committed offset. D. Always from scratch.

Select an answer to check.

Answer: Resume from last committed offset.

Resume from last committed offset. is the correct answer here. Stored in connector state. This is the most accurate statement for how is connector restart best characterized. The remaining choices fail because they don’t satisfy the full definition.