Practice Spark Structured Streaming Advanced MCQ questions with detailed explanations and clear answer validation. These MCQs help you revise core concepts, compare close options, and improve accuracy for interviews, certification exams, and technical screening rounds. Use this updated 2026 set to strengthen fundamentals and confidence.
Q51. Which statement about offset commits is most accurate?
Select an answer to check.
Answer: Tracked positions per source.
Here, Tracked positions per source. is the right choice. Stored in checkpoint. It aligns directly with what the question asks about which statement about offset commits is most accurate. Competing choices sound plausible, but they miss the key condition.
Q52. How is offset commits best characterized?
Select an answer to check.
Answer: Tracked positions per source.
In this case, Tracked positions per source. is correct. Stored in checkpoint. It aligns directly with what the question asks about how is offset commits best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes schema enforcement on streaming?
Select an answer to check.
Answer: Reject events not matching expected schema.
The best option here is Reject events not matching expected schema.. Avoids silent corruption. It aligns directly with what the question asks about which option best describes schema enforcement on streaming. Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of schema enforcement on streaming?
Select an answer to check.
Answer: Reject events not matching expected schema.
For this question, Reject events not matching expected schema. is correct. Avoids silent corruption. It aligns directly with what the question asks about what is the primary purpose of schema enforcement. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about schema enforcement on streaming is most accurate?
Select an answer to check.
Answer: Reject events not matching expected schema.
Reject events not matching expected schema. is the correct answer here. Avoids silent corruption. It aligns directly with what the question asks about which statement about schema enforcement on streaming is. Competing choices sound plausible, but they miss the key condition.
Q56. How is schema enforcement on streaming best characterized?
Select an answer to check.
Answer: Reject events not matching expected schema.
Here, Reject events not matching expected schema. is the right choice. Avoids silent corruption. This matches the core idea being tested around how is schema enforcement on streaming best characterized. Competing choices sound plausible, but they miss the key condition.
Q57. Which option best describes idempotent writes for streams?
Select an answer to check.
Answer: foreachBatch with MERGE/UPSERT.
In this case, foreachBatch with MERGE/UPSERT. is correct. Effective exactly-once. This matches the core idea being tested around which option best describes idempotent writes for streams. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of idempotent writes for streams?
Select an answer to check.
Answer: foreachBatch with MERGE/UPSERT.
The best option here is foreachBatch with MERGE/UPSERT.. Effective exactly-once. This matches the core idea being tested around what is the primary purpose of idempotent writes. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about idempotent writes for streams is most accurate?
Select an answer to check.
Answer: foreachBatch with MERGE/UPSERT.
For this question, foreachBatch with MERGE/UPSERT. is correct. Effective exactly-once. This matches the core idea being tested around which statement about idempotent writes for streams is. Competing choices sound plausible, but they miss the key condition.
Q60. How is idempotent writes for streams best characterized?
Select an answer to check.
Answer: foreachBatch with MERGE/UPSERT.
foreachBatch with MERGE/UPSERT. is the correct answer here. Effective exactly-once. This matches the core idea being tested around how is idempotent writes for streams best characterized. Competing choices sound plausible, but they miss the key condition.
Q61. Which option best describes Kafka offsets?
Select an answer to check.
Answer: startingOffsets / endingOffsets options.
Here, startingOffsets / endingOffsets options. is the right choice. Control replay. That is exactly the concept behind which option best describes kafka offsets in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of Kafka offsets?
Select an answer to check.
Answer: startingOffsets / endingOffsets options.
In this case, startingOffsets / endingOffsets options. is correct. Control replay. That is exactly the concept behind what is the primary purpose of kafka offsets in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about Kafka offsets is most accurate?
Select an answer to check.
Answer: startingOffsets / endingOffsets options.
The best option here is startingOffsets / endingOffsets options.. Control replay. That is exactly the concept behind which statement about kafka offsets is most accurate in this context. Competing choices sound plausible, but they miss the key condition.
Q64. How is Kafka offsets best characterized?
Select an answer to check.
Answer: startingOffsets / endingOffsets options.
For this question, startingOffsets / endingOffsets options. is correct. Control replay. That is exactly the concept behind how is kafka offsets best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes structured streaming metrics?
Select an answer to check.
Answer: StreamingQueryListener / progress events.
StreamingQueryListener / progress events. is the correct answer here. Observability. That is exactly the concept behind which option best describes structured streaming metrics in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of structured streaming metrics?
Select an answer to check.
Answer: StreamingQueryListener / progress events.
Here, StreamingQueryListener / progress events. is the right choice. Observability. It fits the requirement in the prompt about what is the primary purpose of structured streaming. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about structured streaming metrics is most accurate?
Select an answer to check.
Answer: StreamingQueryListener / progress events.
In this case, StreamingQueryListener / progress events. is correct. Observability. It fits the requirement in the prompt about which statement about structured streaming metrics is most. Competing choices sound plausible, but they miss the key condition.
Q68. How is structured streaming metrics best characterized?
Select an answer to check.
Answer: StreamingQueryListener / progress events.
The best option here is StreamingQueryListener / progress events.. Observability. It fits the requirement in the prompt about how is structured streaming metrics best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes stateful operator state schema versioning?
Select an answer to check.
Answer: Evolve operator state safely.
For this question, Evolve operator state safely. is correct. Required for upgrades. It fits the requirement in the prompt about which option best describes stateful operator state schema. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of stateful operator state schema versioning?
Select an answer to check.
Answer: Evolve operator state safely.
Evolve operator state safely. is the correct answer here. Required for upgrades. It fits the requirement in the prompt about what is the primary purpose of stateful operator. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about stateful operator state schema versioning is most accurate?
Select an answer to check.
Answer: Evolve operator state safely.
Here, Evolve operator state safely. is the right choice. Required for upgrades. This is the most accurate statement for which statement about stateful operator state schema versioning. Competing choices sound plausible, but they miss the key condition.
Q72. How is stateful operator state schema versioning best characterized?
Select an answer to check.
Answer: Evolve operator state safely.
In this case, Evolve operator state safely. is correct. Required for upgrades. This is the most accurate statement for how is stateful operator state schema versioning best. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes reprocessing streams?
Select an answer to check.
Answer: Replay from earliest with new logic.
The best option here is Replay from earliest with new logic.. Plan for log retention. This is the most accurate statement for which option best describes reprocessing streams. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of reprocessing streams?
Select an answer to check.
Answer: Replay from earliest with new logic.
For this question, Replay from earliest with new logic. is correct. Plan for log retention. This is the most accurate statement for what is the primary purpose of reprocessing streams. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about reprocessing streams is most accurate?
Select an answer to check.
Answer: Replay from earliest with new logic.
Replay from earliest with new logic. is the correct answer here. Plan for log retention. This is the most accurate statement for which statement about reprocessing streams is most accurate. Competing choices sound plausible, but they miss the key condition.
Q76. How is reprocessing streams best characterized?
Select an answer to check.
Answer: Replay from earliest with new logic.
Here, Replay from earliest with new logic. is the right choice. Plan for log retention. It aligns directly with what the question asks about how is reprocessing streams best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q77. Which option best describes at-least-once + idempotent sink?
Select an answer to check.
Answer: Effective exactly-once pattern.
In this case, Effective exactly-once pattern. is correct. Common production approach. It aligns directly with what the question asks about which option best describes at-least-once + idempotent sink. The remaining choices fail because they don’t satisfy the full definition.
Q78. What is the primary purpose of at-least-once + idempotent sink?
Select an answer to check.
Answer: Effective exactly-once pattern.
The best option here is Effective exactly-once pattern.. Common production approach. It aligns directly with what the question asks about what is the primary purpose of at-least-once +. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about at-least-once + idempotent sink is most accurate?
Select an answer to check.
Answer: Effective exactly-once pattern.
For this question, Effective exactly-once pattern. is correct. Common production approach. It aligns directly with what the question asks about which statement about at-least-once + idempotent sink is. The remaining choices fail because they don’t satisfy the full definition.
Q80. How is at-least-once + idempotent sink best characterized?
Select an answer to check.
Answer: Effective exactly-once pattern.
Effective exactly-once pattern. is the correct answer here. Common production approach. It aligns directly with what the question asks about how is at-least-once + idempotent sink best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes watermark vs trigger?
Here, Watermark bounds lateness; trigger controls cadence. is the right choice. Both used together. This matches the core idea being tested around which option best describes watermark vs trigger. The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of watermark vs trigger?
In this case, Watermark bounds lateness; trigger controls cadence. is correct. Both used together. This matches the core idea being tested around what is the primary purpose of watermark vs. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about watermark vs trigger is most accurate?
The best option here is Watermark bounds lateness; trigger controls cadence.. Both used together. This matches the core idea being tested around which statement about watermark vs trigger is most. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is watermark vs trigger best characterized?
For this question, Watermark bounds lateness; trigger controls cadence. is correct. Both used together. This matches the core idea being tested around how is watermark vs trigger best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes late updates allowed?
Select an answer to check.
Answer: Window can re-emit on late events (Update mode).
Window can re-emit on late events (Update mode). is the correct answer here. Output mode dependent. This matches the core idea being tested around which option best describes late updates allowed. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of late updates allowed?
Select an answer to check.
Answer: Window can re-emit on late events (Update mode).
Here, Window can re-emit on late events (Update mode). is the right choice. Output mode dependent. That is exactly the concept behind what is the primary purpose of late updates in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about late updates allowed is most accurate?
Select an answer to check.
Answer: Window can re-emit on late events (Update mode).
In this case, Window can re-emit on late events (Update mode). is correct. Output mode dependent. That is exactly the concept behind which statement about late updates allowed is most in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is late updates allowed best characterized?
Select an answer to check.
Answer: Window can re-emit on late events (Update mode).
The best option here is Window can re-emit on late events (Update mode).. Output mode dependent. That is exactly the concept behind how is late updates allowed best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes DLQ via foreachBatch?
Select an answer to check.
Answer: Route bad records to a side path.
For this question, Route bad records to a side path. is correct. Operability. That is exactly the concept behind which option best describes dlq via foreachbatch in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of DLQ via foreachBatch?
Select an answer to check.
Answer: Route bad records to a side path.
Route bad records to a side path. is the correct answer here. Operability. That is exactly the concept behind what is the primary purpose of dlq via in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about DLQ via foreachBatch is most accurate?
Select an answer to check.
Answer: Route bad records to a side path.
Here, Route bad records to a side path. is the right choice. Operability. It fits the requirement in the prompt about which statement about dlq via foreachbatch is most. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is DLQ via foreachBatch best characterized?
Select an answer to check.
Answer: Route bad records to a side path.
In this case, Route bad records to a side path. is correct. Operability. It fits the requirement in the prompt about how is dlq via foreachbatch best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes rate limiting?
Select an answer to check.
Answer: maxOffsetsPerTrigger to bound batch size.
The best option here is maxOffsetsPerTrigger to bound batch size.. Control catch-up speed. It fits the requirement in the prompt about which option best describes rate limiting. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of rate limiting?
Select an answer to check.
Answer: maxOffsetsPerTrigger to bound batch size.
For this question, maxOffsetsPerTrigger to bound batch size. is correct. Control catch-up speed. It fits the requirement in the prompt about what is the primary purpose of rate limiting. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about rate limiting is most accurate?
Select an answer to check.
Answer: maxOffsetsPerTrigger to bound batch size.
maxOffsetsPerTrigger to bound batch size. is the correct answer here. Control catch-up speed. It fits the requirement in the prompt about which statement about rate limiting is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is rate limiting best characterized?
Select an answer to check.
Answer: maxOffsetsPerTrigger to bound batch size.
Here, maxOffsetsPerTrigger to bound batch size. is the right choice. Control catch-up speed. This is the most accurate statement for how is rate limiting best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes foreachBatch idempotency?
Select an answer to check.
Answer: Use batchId to dedup downstream writes.
In this case, Use batchId to dedup downstream writes. is correct. Pair with idempotent sinks. This is the most accurate statement for which option best describes foreachbatch idempotency. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of foreachBatch idempotency?
Select an answer to check.
Answer: Use batchId to dedup downstream writes.
The best option here is Use batchId to dedup downstream writes.. Pair with idempotent sinks. This is the most accurate statement for what is the primary purpose of foreachbatch idempotency. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about foreachBatch idempotency is most accurate?
Select an answer to check.
Answer: Use batchId to dedup downstream writes.
For this question, Use batchId to dedup downstream writes. is correct. Pair with idempotent sinks. This is the most accurate statement for which statement about foreachbatch idempotency is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is foreachBatch idempotency best characterized?
Select an answer to check.
Answer: Use batchId to dedup downstream writes.
Use batchId to dedup downstream writes. is the correct answer here. Pair with idempotent sinks. This is the most accurate statement for how is foreachbatch idempotency best characterized. The remaining choices fail because they don’t satisfy the full definition.