Practice Spark 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 partition pruning is most accurate?
Select an answer to check.
Answer: Skip irrelevant partitions on filter.
Here, Skip irrelevant partitions on filter. is the right choice. Big I/O reduction. It aligns directly with what the question asks about which statement about partition pruning is most accurate. Competing choices sound plausible, but they miss the key condition.
Q52. How is partition pruning best characterized?
Select an answer to check.
Answer: Skip irrelevant partitions on filter.
In this case, Skip irrelevant partitions on filter. is correct. Big I/O reduction. It aligns directly with what the question asks about how is partition pruning best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes DPP (dynamic partition pruning)?
Select an answer to check.
Answer: Prune partitions based on join filters at runtime.
The best option here is Prune partitions based on join filters at runtime.. AQE/Spark 3 feature. It aligns directly with what the question asks about which option best describes dpp (dynamic partition pruning). Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of DPP (dynamic partition pruning)?
Select an answer to check.
Answer: Prune partitions based on join filters at runtime.
For this question, Prune partitions based on join filters at runtime. is correct. AQE/Spark 3 feature. It aligns directly with what the question asks about what is the primary purpose of dpp (dynamic. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about DPP (dynamic partition pruning) is most accurate?
Select an answer to check.
Answer: Prune partitions based on join filters at runtime.
Prune partitions based on join filters at runtime. is the correct answer here. AQE/Spark 3 feature. It aligns directly with what the question asks about which statement about dpp (dynamic partition pruning) is. Competing choices sound plausible, but they miss the key condition.
Q56. How is DPP (dynamic partition pruning) best characterized?
Select an answer to check.
Answer: Prune partitions based on join filters at runtime.
Here, Prune partitions based on join filters at runtime. is the right choice. AQE/Spark 3 feature. This matches the core idea being tested around how is dpp (dynamic partition pruning) best characterized. Competing choices sound plausible, but they miss the key condition.
Q57. Which option best describes Whole-stage codegen?
Select an answer to check.
Answer: Combine multiple ops into one Java function.
In this case, Combine multiple ops into one Java function. is correct. Reduces virtual calls. This matches the core idea being tested around which option best describes whole-stage codegen. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of Whole-stage codegen?
Select an answer to check.
Answer: Combine multiple ops into one Java function.
The best option here is Combine multiple ops into one Java function.. Reduces virtual calls. This matches the core idea being tested around what is the primary purpose of whole-stage codegen. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about Whole-stage codegen is most accurate?
Select an answer to check.
Answer: Combine multiple ops into one Java function.
For this question, Combine multiple ops into one Java function. is correct. Reduces virtual calls. This matches the core idea being tested around which statement about whole-stage codegen is most accurate. Competing choices sound plausible, but they miss the key condition.
Q60. How is Whole-stage codegen best characterized?
Select an answer to check.
Answer: Combine multiple ops into one Java function.
Combine multiple ops into one Java function. is the correct answer here. Reduces virtual calls. This matches the core idea being tested around how is whole-stage codegen best characterized. Competing choices sound plausible, but they miss the key condition.
Q61. Which option best describes Photon (Databricks)?
Select an answer to check.
Answer: Native vectorized execution engine.
Here, Native vectorized execution engine. is the right choice. C++ vectorized runtime. That is exactly the concept behind which option best describes photon (databricks) in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of Photon (Databricks)?
Select an answer to check.
Answer: Native vectorized execution engine.
In this case, Native vectorized execution engine. is correct. C++ vectorized runtime. That is exactly the concept behind what is the primary purpose of photon (databricks) in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about Photon (Databricks) is most accurate?
Select an answer to check.
Answer: Native vectorized execution engine.
The best option here is Native vectorized execution engine.. C++ vectorized runtime. That is exactly the concept behind which statement about photon (databricks) is most accurate in this context. Competing choices sound plausible, but they miss the key condition.
Q64. How is Photon (Databricks) best characterized?
Select an answer to check.
Answer: Native vectorized execution engine.
For this question, Native vectorized execution engine. is correct. C++ vectorized runtime. That is exactly the concept behind how is photon (databricks) best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes Arrow?
Select an answer to check.
Answer: Columnar in-memory format used in PySpark/Pandas UDFs.
Columnar in-memory format used in PySpark/Pandas UDFs. is the correct answer here. Speeds Python <-> JVM. That is exactly the concept behind which option best describes arrow in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of Arrow?
Select an answer to check.
Answer: Columnar in-memory format used in PySpark/Pandas UDFs.
Here, Columnar in-memory format used in PySpark/Pandas UDFs. is the right choice. Speeds Python <-> JVM. It fits the requirement in the prompt about what is the primary purpose of arrow. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about Arrow is most accurate?
Select an answer to check.
Answer: Columnar in-memory format used in PySpark/Pandas UDFs.
In this case, Columnar in-memory format used in PySpark/Pandas UDFs. is correct. Speeds Python <-> JVM. It fits the requirement in the prompt about which statement about arrow is most accurate. Competing choices sound plausible, but they miss the key condition.
Q68. How is Arrow best characterized?
Select an answer to check.
Answer: Columnar in-memory format used in PySpark/Pandas UDFs.
The best option here is Columnar in-memory format used in PySpark/Pandas UDFs.. Speeds Python <-> JVM. It fits the requirement in the prompt about how is arrow best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes vectorized Parquet reader?
Select an answer to check.
Answer: Reads columnar batches efficiently.
For this question, Reads columnar batches efficiently. is correct. Default for Parquet. It fits the requirement in the prompt about which option best describes vectorized parquet reader. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of vectorized Parquet reader?
Select an answer to check.
Answer: Reads columnar batches efficiently.
Reads columnar batches efficiently. is the correct answer here. Default for Parquet. It fits the requirement in the prompt about what is the primary purpose of vectorized parquet. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about vectorized Parquet reader is most accurate?
Select an answer to check.
Answer: Reads columnar batches efficiently.
Here, Reads columnar batches efficiently. is the right choice. Default for Parquet. This is the most accurate statement for which statement about vectorized parquet reader is most. Competing choices sound plausible, but they miss the key condition.
Q72. How is vectorized Parquet reader best characterized?
Select an answer to check.
Answer: Reads columnar batches efficiently.
In this case, Reads columnar batches efficiently. is correct. Default for Parquet. This is the most accurate statement for how is vectorized parquet reader best characterized. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes Pandas UDFs?
Select an answer to check.
Answer: Vectorized UDFs using Arrow/pandas.
The best option here is Vectorized UDFs using Arrow/pandas.. Faster than Python UDFs. This is the most accurate statement for which option best describes pandas udfs. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of Pandas UDFs?
Select an answer to check.
Answer: Vectorized UDFs using Arrow/pandas.
For this question, Vectorized UDFs using Arrow/pandas. is correct. Faster than Python UDFs. This is the most accurate statement for what is the primary purpose of pandas udfs. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about Pandas UDFs is most accurate?
Select an answer to check.
Answer: Vectorized UDFs using Arrow/pandas.
Vectorized UDFs using Arrow/pandas. is the correct answer here. Faster than Python UDFs. This is the most accurate statement for which statement about pandas udfs is most accurate. Competing choices sound plausible, but they miss the key condition.
Q76. How is Pandas UDFs best characterized?
Select an answer to check.
Answer: Vectorized UDFs using Arrow/pandas.
Here, Vectorized UDFs using Arrow/pandas. is the right choice. Faster than Python UDFs. It aligns directly with what the question asks about how is pandas udfs best characterized. The remaining choices fail because they don’t satisfy the full definition.
In this case, Python UDFs incur SerDe; prefer SQL/Pandas UDFs. is correct. Be cautious with UDFs. It aligns directly with what the question asks about which option best describes udfs cost. The remaining choices fail because they don’t satisfy the full definition.
The best option here is Python UDFs incur SerDe; prefer SQL/Pandas UDFs.. Be cautious with UDFs. It aligns directly with what the question asks about what is the primary purpose of udfs cost. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about UDFs cost is most accurate?
For this question, Python UDFs incur SerDe; prefer SQL/Pandas UDFs. is correct. Be cautious with UDFs. It aligns directly with what the question asks about which statement about udfs cost is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Python UDFs incur SerDe; prefer SQL/Pandas UDFs. is the correct answer here. Be cautious with UDFs. It aligns directly with what the question asks about how is udfs cost best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes salting skew?
Select an answer to check.
Answer: Add salt to skewed keys to spread load.
Here, Add salt to skewed keys to spread load. is the right choice. Combine with AQE. This matches the core idea being tested around which option best describes salting skew. The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of salting skew?
Select an answer to check.
Answer: Add salt to skewed keys to spread load.
In this case, Add salt to skewed keys to spread load. is correct. Combine with AQE. This matches the core idea being tested around what is the primary purpose of salting skew. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about salting skew is most accurate?
Select an answer to check.
Answer: Add salt to skewed keys to spread load.
The best option here is Add salt to skewed keys to spread load.. Combine with AQE. This matches the core idea being tested around which statement about salting skew is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is salting skew best characterized?
Select an answer to check.
Answer: Add salt to skewed keys to spread load.
For this question, Add salt to skewed keys to spread load. is correct. Combine with AQE. This matches the core idea being tested around how is salting skew best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes repartition vs coalesce?
Repartition shuffles; coalesce avoids shuffle (only down). is the correct answer here. Pick based on need. This matches the core idea being tested around which option best describes repartition vs coalesce. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of repartition vs coalesce?
Here, Repartition shuffles; coalesce avoids shuffle (only down). is the right choice. Pick based on need. That is exactly the concept behind what is the primary purpose of repartition vs in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about repartition vs coalesce is most accurate?
In this case, Repartition shuffles; coalesce avoids shuffle (only down). is correct. Pick based on need. That is exactly the concept behind which statement about repartition vs coalesce is most in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is repartition vs coalesce best characterized?
The best option here is Repartition shuffles; coalesce avoids shuffle (only down).. Pick based on need. That is exactly the concept behind how is repartition vs coalesce best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes speculative execution?
Select an answer to check.
Answer: Run slow tasks on alternate executors.
For this question, Run slow tasks on alternate executors. is correct. Mitigates stragglers. That is exactly the concept behind which option best describes speculative execution in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of speculative execution?
Select an answer to check.
Answer: Run slow tasks on alternate executors.
Run slow tasks on alternate executors. is the correct answer here. Mitigates stragglers. That is exactly the concept behind what is the primary purpose of speculative execution in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about speculative execution is most accurate?
Select an answer to check.
Answer: Run slow tasks on alternate executors.
Here, Run slow tasks on alternate executors. is the right choice. Mitigates stragglers. It fits the requirement in the prompt about which statement about speculative execution is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is speculative execution best characterized?
Select an answer to check.
Answer: Run slow tasks on alternate executors.
In this case, Run slow tasks on alternate executors. is correct. Mitigates stragglers. It fits the requirement in the prompt about how is speculative execution best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes dynamic allocation?
Select an answer to check.
Answer: Add/remove executors based on load.
The best option here is Add/remove executors based on load.. Cluster manager support required. It fits the requirement in the prompt about which option best describes dynamic allocation. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of dynamic allocation?
Select an answer to check.
Answer: Add/remove executors based on load.
For this question, Add/remove executors based on load. is correct. Cluster manager support required. It fits the requirement in the prompt about what is the primary purpose of dynamic allocation. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about dynamic allocation is most accurate?
Select an answer to check.
Answer: Add/remove executors based on load.
Add/remove executors based on load. is the correct answer here. Cluster manager support required. It fits the requirement in the prompt about which statement about dynamic allocation is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is dynamic allocation best characterized?
Select an answer to check.
Answer: Add/remove executors based on load.
Here, Add/remove executors based on load. is the right choice. Cluster manager support required. This is the most accurate statement for how is dynamic allocation best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes checkpoint vs cache?
Select an answer to check.
Answer: Checkpoint persists to reliable storage cutting lineage; cache is for reuse.
In this case, Checkpoint persists to reliable storage cutting lineage; cache is for reuse. is correct. Different purposes. This is the most accurate statement for which option best describes checkpoint vs cache. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of checkpoint vs cache?
Select an answer to check.
Answer: Checkpoint persists to reliable storage cutting lineage; cache is for reuse.
The best option here is Checkpoint persists to reliable storage cutting lineage; cache is for reuse.. Different purposes. This is the most accurate statement for what is the primary purpose of checkpoint vs. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about checkpoint vs cache is most accurate?
Select an answer to check.
Answer: Checkpoint persists to reliable storage cutting lineage; cache is for reuse.
For this question, Checkpoint persists to reliable storage cutting lineage; cache is for reuse. is correct. Different purposes. This is the most accurate statement for which statement about checkpoint vs cache is most. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is checkpoint vs cache best characterized?
Select an answer to check.
Answer: Checkpoint persists to reliable storage cutting lineage; cache is for reuse.
Checkpoint persists to reliable storage cutting lineage; cache is for reuse. is the correct answer here. Different purposes. This is the most accurate statement for how is checkpoint vs cache best characterized. The remaining choices fail because they don’t satisfy the full definition.