Practice Spark Cluster Management 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 locality preferences is most accurate?
Select an answer to check.
Answer: Schedule tasks near data.
Here, Schedule tasks near data. is the right choice. PROCESS_LOCAL > NODE_LOCAL > RACK_LOCAL > ANY. It aligns directly with what the question asks about which statement about locality preferences is most accurate. Competing choices sound plausible, but they miss the key condition.
Q52. How is locality preferences best characterized?
Select an answer to check.
Answer: Schedule tasks near data.
In this case, Schedule tasks near data. is correct. PROCESS_LOCAL > NODE_LOCAL > RACK_LOCAL > ANY. It aligns directly with what the question asks about how is locality preferences best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes resource profiles?
Select an answer to check.
Answer: Different CPU/memory per stage (Spark 3).
The best option here is Different CPU/memory per stage (Spark 3).. Mixed workloads. It aligns directly with what the question asks about which option best describes resource profiles. Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of resource profiles?
Select an answer to check.
Answer: Different CPU/memory per stage (Spark 3).
For this question, Different CPU/memory per stage (Spark 3). is correct. Mixed workloads. It aligns directly with what the question asks about what is the primary purpose of resource profiles. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about resource profiles is most accurate?
Select an answer to check.
Answer: Different CPU/memory per stage (Spark 3).
Different CPU/memory per stage (Spark 3). is the correct answer here. Mixed workloads. It aligns directly with what the question asks about which statement about resource profiles is most accurate. Competing choices sound plausible, but they miss the key condition.
Q56. How is resource profiles best characterized?
Select an answer to check.
Answer: Different CPU/memory per stage (Spark 3).
Here, Different CPU/memory per stage (Spark 3). is the right choice. Mixed workloads. This matches the core idea being tested around how is resource profiles best characterized. Competing choices sound plausible, but they miss the key condition.
In this case, Graceful executor shutdown migrating data. is correct. Spot/preemptible support. This matches the core idea being tested around which option best describes decommissioning. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of decommissioning?
The best option here is Graceful executor shutdown migrating data.. Spot/preemptible support. This matches the core idea being tested around what is the primary purpose of decommissioning. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about decommissioning is most accurate?
For this question, Graceful executor shutdown migrating data. is correct. Spot/preemptible support. This matches the core idea being tested around which statement about decommissioning is most accurate. Competing choices sound plausible, but they miss the key condition.
Graceful executor shutdown migrating data. is the correct answer here. Spot/preemptible support. This matches the core idea being tested around how is decommissioning best characterized. Competing choices sound plausible, but they miss the key condition.
Here, spark.executor.memory, spark.driver.memory. is the right choice. Tune per workload. That is exactly the concept behind which option best describes memory configs in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of memory configs?
In this case, spark.executor.memory, spark.driver.memory. is correct. Tune per workload. That is exactly the concept behind what is the primary purpose of memory configs in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about memory configs is most accurate?
The best option here is spark.executor.memory, spark.driver.memory.. Tune per workload. That is exactly the concept behind which statement about memory configs is most accurate in this context. Competing choices sound plausible, but they miss the key condition.
For this question, spark.executor.memory, spark.driver.memory. is correct. Tune per workload. That is exactly the concept behind how is memory configs best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes cores per executor?
Select an answer to check.
Answer: spark.executor.cores controls task parallelism per executor.
spark.executor.cores controls task parallelism per executor. is the correct answer here. Affect parallelism and memory. That is exactly the concept behind which option best describes cores per executor in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of cores per executor?
Select an answer to check.
Answer: spark.executor.cores controls task parallelism per executor.
Here, spark.executor.cores controls task parallelism per executor. is the right choice. Affect parallelism and memory. It fits the requirement in the prompt about what is the primary purpose of cores per. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about cores per executor is most accurate?
Select an answer to check.
Answer: spark.executor.cores controls task parallelism per executor.
In this case, spark.executor.cores controls task parallelism per executor. is correct. Affect parallelism and memory. It fits the requirement in the prompt about which statement about cores per executor is most. Competing choices sound plausible, but they miss the key condition.
Q68. How is cores per executor best characterized?
Select an answer to check.
Answer: spark.executor.cores controls task parallelism per executor.
The best option here is spark.executor.cores controls task parallelism per executor.. Affect parallelism and memory. It fits the requirement in the prompt about how is cores per executor best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes executor count?
Select an answer to check.
Answer: Number of executors per app.
For this question, Number of executors per app. is correct. Static or dynamic. It fits the requirement in the prompt about which option best describes executor count. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of executor count?
Select an answer to check.
Answer: Number of executors per app.
Number of executors per app. is the correct answer here. Static or dynamic. It fits the requirement in the prompt about what is the primary purpose of executor count. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about executor count is most accurate?
Select an answer to check.
Answer: Number of executors per app.
Here, Number of executors per app. is the right choice. Static or dynamic. This is the most accurate statement for which statement about executor count is most accurate. Competing choices sound plausible, but they miss the key condition.
Q72. How is executor count best characterized?
Select an answer to check.
Answer: Number of executors per app.
In this case, Number of executors per app. is correct. Static or dynamic. This is the most accurate statement for how is executor count best characterized. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes Spark on K8s pod templates?
Select an answer to check.
Answer: Customize driver/executor pods.
The best option here is Customize driver/executor pods.. Sidecars, mounts, etc. This is the most accurate statement for which option best describes spark on k8s pod. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of Spark on K8s pod templates?
Select an answer to check.
Answer: Customize driver/executor pods.
For this question, Customize driver/executor pods. is correct. Sidecars, mounts, etc. This is the most accurate statement for what is the primary purpose of spark on. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about Spark on K8s pod templates is most accurate?
Select an answer to check.
Answer: Customize driver/executor pods.
Customize driver/executor pods. is the correct answer here. Sidecars, mounts, etc. This is the most accurate statement for which statement about spark on k8s pod templates. Competing choices sound plausible, but they miss the key condition.
Q76. How is Spark on K8s pod templates best characterized?
Select an answer to check.
Answer: Customize driver/executor pods.
Here, Customize driver/executor pods. is the right choice. Sidecars, mounts, etc. It aligns directly with what the question asks about how is spark on k8s pod templates best. The remaining choices fail because they don’t satisfy the full definition.
Q77. Which option best describes event log?
Select an answer to check.
Answer: Spark history of events for UI.
In this case, Spark history of events for UI. is correct. Used by History Server. It aligns directly with what the question asks about which option best describes event log. The remaining choices fail because they don’t satisfy the full definition.
Q78. What is the primary purpose of event log?
Select an answer to check.
Answer: Spark history of events for UI.
The best option here is Spark history of events for UI.. Used by History Server. It aligns directly with what the question asks about what is the primary purpose of event log. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about event log is most accurate?
Select an answer to check.
Answer: Spark history of events for UI.
For this question, Spark history of events for UI. is correct. Used by History Server. It aligns directly with what the question asks about which statement about event log is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q80. How is event log best characterized?
Select an answer to check.
Answer: Spark history of events for UI.
Spark history of events for UI. is the correct answer here. Used by History Server. It aligns directly with what the question asks about how is event log best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes history server?
Select an answer to check.
Answer: UI for completed applications.
Here, UI for completed applications. is the right choice. Reads event logs. This matches the core idea being tested around which option best describes history server. The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of history server?
Select an answer to check.
Answer: UI for completed applications.
In this case, UI for completed applications. is correct. Reads event logs. This matches the core idea being tested around what is the primary purpose of history server. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about history server is most accurate?
Select an answer to check.
Answer: UI for completed applications.
The best option here is UI for completed applications.. Reads event logs. This matches the core idea being tested around which statement about history server is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is history server best characterized?
Select an answer to check.
Answer: UI for completed applications.
For this question, UI for completed applications. is correct. Reads event logs. This matches the core idea being tested around how is history server best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes Spark UI?
Select an answer to check.
Answer: Live web UI showing jobs, stages, tasks.
Live web UI showing jobs, stages, tasks. is the correct answer here. Critical for debugging. This matches the core idea being tested around which option best describes spark ui. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of Spark UI?
Select an answer to check.
Answer: Live web UI showing jobs, stages, tasks.
Here, Live web UI showing jobs, stages, tasks. is the right choice. Critical for debugging. That is exactly the concept behind what is the primary purpose of spark ui in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about Spark UI is most accurate?
Select an answer to check.
Answer: Live web UI showing jobs, stages, tasks.
In this case, Live web UI showing jobs, stages, tasks. is correct. Critical for debugging. That is exactly the concept behind which statement about spark ui is most accurate in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is Spark UI best characterized?
Select an answer to check.
Answer: Live web UI showing jobs, stages, tasks.
The best option here is Live web UI showing jobs, stages, tasks.. Critical for debugging. That is exactly the concept behind how is spark ui best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes scheduler pools?
Select an answer to check.
Answer: Fair scheduler pools to share resources.
For this question, Fair scheduler pools to share resources. is correct. Multi-tenant clusters. That is exactly the concept behind which option best describes scheduler pools in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of scheduler pools?
Select an answer to check.
Answer: Fair scheduler pools to share resources.
Fair scheduler pools to share resources. is the correct answer here. Multi-tenant clusters. That is exactly the concept behind what is the primary purpose of scheduler pools in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about scheduler pools is most accurate?
Select an answer to check.
Answer: Fair scheduler pools to share resources.
Here, Fair scheduler pools to share resources. is the right choice. Multi-tenant clusters. It fits the requirement in the prompt about which statement about scheduler pools is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is scheduler pools best characterized?
Select an answer to check.
Answer: Fair scheduler pools to share resources.
In this case, Fair scheduler pools to share resources. is correct. Multi-tenant clusters. It fits the requirement in the prompt about how is scheduler pools best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes FAIR vs FIFO scheduling?
Select an answer to check.
Answer: FIFO default; FAIR shares across jobs.
The best option here is FIFO default; FAIR shares across jobs.. Set per app or pool. It fits the requirement in the prompt about which option best describes fair vs fifo scheduling. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of FAIR vs FIFO scheduling?
Select an answer to check.
Answer: FIFO default; FAIR shares across jobs.
For this question, FIFO default; FAIR shares across jobs. is correct. Set per app or pool. It fits the requirement in the prompt about what is the primary purpose of fair vs. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about FAIR vs FIFO scheduling is most accurate?
Select an answer to check.
Answer: FIFO default; FAIR shares across jobs.
FIFO default; FAIR shares across jobs. is the correct answer here. Set per app or pool. It fits the requirement in the prompt about which statement about fair vs fifo scheduling is. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is FAIR vs FIFO scheduling best characterized?
Select an answer to check.
Answer: FIFO default; FAIR shares across jobs.
Here, FIFO default; FAIR shares across jobs. is the right choice. Set per app or pool. This is the most accurate statement for how is fair vs fifo scheduling best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes blacklisting / excludeOnFailure?
Select an answer to check.
Answer: Avoid bad nodes after failures.
In this case, Avoid bad nodes after failures. is correct. Improves reliability. This is the most accurate statement for which option best describes blacklisting / excludeonfailure. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of blacklisting / excludeOnFailure?
Select an answer to check.
Answer: Avoid bad nodes after failures.
The best option here is Avoid bad nodes after failures.. Improves reliability. This is the most accurate statement for what is the primary purpose of blacklisting /. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about blacklisting / excludeOnFailure is most accurate?
Select an answer to check.
Answer: Avoid bad nodes after failures.
For this question, Avoid bad nodes after failures. is correct. Improves reliability. This is the most accurate statement for which statement about blacklisting / excludeonfailure is most. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is blacklisting / excludeOnFailure best characterized?
Select an answer to check.
Answer: Avoid bad nodes after failures.
Avoid bad nodes after failures. is the correct answer here. Improves reliability. This is the most accurate statement for how is blacklisting / excludeonfailure best characterized. The remaining choices fail because they don’t satisfy the full definition.