Data ETL Schema Evolution MCQ Questions with Answers – Page 2 (Latest 2026)

Practice Data ETL Schema Evolution 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.

Related mcq: Data ETL Advanced MCQ | Data ETL Basics MCQ | Data ETL Batch Vs Streaming MCQ | Java Basics MCQ | C# Basics MCQ

Q51. Which statement about Avro schema evolution is most accurate?

Select an answer to check.

Answer: Built-in compat checks (Add field with default).

Here, Built-in compat checks (Add field with default). is the right choice. Used widely with Kafka. It aligns directly with what the question asks about which statement about avro schema evolution is most. Competing choices sound plausible, but they miss the key condition.

Q52. How is Avro schema evolution best characterized?

Select an answer to check.

Answer: Built-in compat checks (Add field with default).

In this case, Built-in compat checks (Add field with default). is correct. Used widely with Kafka. It aligns directly with what the question asks about how is avro schema evolution best characterized. Competing choices sound plausible, but they miss the key condition.

Q53. Which option best describes Protobuf evolution?

Select an answer to check.

Answer: Numbered fields with required/optional rules.

The best option here is Numbered fields with required/optional rules.. Safe with proto3 defaults. It aligns directly with what the question asks about which option best describes protobuf evolution. Competing choices sound plausible, but they miss the key condition.

Q54. What is the primary purpose of Protobuf evolution?

Select an answer to check.

Answer: Numbered fields with required/optional rules.

For this question, Numbered fields with required/optional rules. is correct. Safe with proto3 defaults. It aligns directly with what the question asks about what is the primary purpose of protobuf evolution. Competing choices sound plausible, but they miss the key condition.

Q55. Which statement about Protobuf evolution is most accurate?

Select an answer to check.

Answer: Numbered fields with required/optional rules.

Numbered fields with required/optional rules. is the correct answer here. Safe with proto3 defaults. It aligns directly with what the question asks about which statement about protobuf evolution is most accurate. Competing choices sound plausible, but they miss the key condition.

Q56. How is Protobuf evolution best characterized?

Select an answer to check.

Answer: Numbered fields with required/optional rules.

Here, Numbered fields with required/optional rules. is the right choice. Safe with proto3 defaults. This matches the core idea being tested around how is protobuf evolution best characterized. Competing choices sound plausible, but they miss the key condition.

Q57. Which option best describes JSON Schema validation?

Select an answer to check.

Answer: Validate JSON against a schema document.

In this case, Validate JSON against a schema document. is correct. Optional/required keywords. This matches the core idea being tested around which option best describes json schema validation. Competing choices sound plausible, but they miss the key condition.

Q58. What is the primary purpose of JSON Schema validation?

Select an answer to check.

Answer: Validate JSON against a schema document.

The best option here is Validate JSON against a schema document.. Optional/required keywords. This matches the core idea being tested around what is the primary purpose of json schema. Competing choices sound plausible, but they miss the key condition.

Q59. Which statement about JSON Schema validation is most accurate?

Select an answer to check.

Answer: Validate JSON against a schema document.

For this question, Validate JSON against a schema document. is correct. Optional/required keywords. This matches the core idea being tested around which statement about json schema validation is most. Competing choices sound plausible, but they miss the key condition.

Q60. How is JSON Schema validation best characterized?

Select an answer to check.

Answer: Validate JSON against a schema document.

Validate JSON against a schema document. is the correct answer here. Optional/required keywords. This matches the core idea being tested around how is json schema validation best characterized. Competing choices sound plausible, but they miss the key condition.

Q61. Which option best describes Parquet schema evolution?

Select an answer to check.

Answer: Add columns; reading older files yields nulls.

Here, Add columns; reading older files yields nulls. is the right choice. Engine-supported. That is exactly the concept behind which option best describes parquet schema evolution in this context. Competing choices sound plausible, but they miss the key condition.

Q62. What is the primary purpose of Parquet schema evolution?

Select an answer to check.

Answer: Add columns; reading older files yields nulls.

In this case, Add columns; reading older files yields nulls. is correct. Engine-supported. That is exactly the concept behind what is the primary purpose of parquet schema in this context. Competing choices sound plausible, but they miss the key condition.

Q63. Which statement about Parquet schema evolution is most accurate?

Select an answer to check.

Answer: Add columns; reading older files yields nulls.

The best option here is Add columns; reading older files yields nulls.. Engine-supported. That is exactly the concept behind which statement about parquet schema evolution is most in this context. Competing choices sound plausible, but they miss the key condition.

Q64. How is Parquet schema evolution best characterized?

Select an answer to check.

Answer: Add columns; reading older files yields nulls.

For this question, Add columns; reading older files yields nulls. is correct. Engine-supported. That is exactly the concept behind how is parquet schema evolution best characterized in this context. Competing choices sound plausible, but they miss the key condition.

Q65. Which option best describes Iceberg partition evolution?

Select an answer to check.

Answer: Change partitioning without rewriting old data.

Change partitioning without rewriting old data. is the correct answer here. Specialty of Iceberg. That is exactly the concept behind which option best describes iceberg partition evolution in this context. Competing choices sound plausible, but they miss the key condition.

Q66. What is the primary purpose of Iceberg partition evolution?

Select an answer to check.

Answer: Change partitioning without rewriting old data.

Here, Change partitioning without rewriting old data. is the right choice. Specialty of Iceberg. It fits the requirement in the prompt about what is the primary purpose of iceberg partition. Competing choices sound plausible, but they miss the key condition.

Q67. Which statement about Iceberg partition evolution is most accurate?

Select an answer to check.

Answer: Change partitioning without rewriting old data.

In this case, Change partitioning without rewriting old data. is correct. Specialty of Iceberg. It fits the requirement in the prompt about which statement about iceberg partition evolution is most. Competing choices sound plausible, but they miss the key condition.

Q68. How is Iceberg partition evolution best characterized?

Select an answer to check.

Answer: Change partitioning without rewriting old data.

The best option here is Change partitioning without rewriting old data.. Specialty of Iceberg. It fits the requirement in the prompt about how is iceberg partition evolution best characterized. Competing choices sound plausible, but they miss the key condition.

Q69. Which option best describes Delta schema enforcement?

Select an answer to check.

Answer: Reject writes not matching schema unless overridden.

For this question, Reject writes not matching schema unless overridden. is correct. Prevents drift accidentally. It fits the requirement in the prompt about which option best describes delta schema enforcement. Competing choices sound plausible, but they miss the key condition.

Q70. What is the primary purpose of Delta schema enforcement?

Select an answer to check.

Answer: Reject writes not matching schema unless overridden.

Reject writes not matching schema unless overridden. is the correct answer here. Prevents drift accidentally. It fits the requirement in the prompt about what is the primary purpose of delta schema. Competing choices sound plausible, but they miss the key condition.

Q71. Which statement about Delta schema enforcement is most accurate?

Select an answer to check.

Answer: Reject writes not matching schema unless overridden.

Here, Reject writes not matching schema unless overridden. is the right choice. Prevents drift accidentally. This is the most accurate statement for which statement about delta schema enforcement is most. Competing choices sound plausible, but they miss the key condition.

Q72. How is Delta schema enforcement best characterized?

Select an answer to check.

Answer: Reject writes not matching schema unless overridden.

In this case, Reject writes not matching schema unless overridden. is correct. Prevents drift accidentally. This is the most accurate statement for how is delta schema enforcement best characterized. Competing choices sound plausible, but they miss the key condition.

Q73. Which option best describes Delta schema evolution?

Select an answer to check.

Answer: mergeSchema=true to add columns on write.

The best option here is mergeSchema=true to add columns on write.. Use with care. This is the most accurate statement for which option best describes delta schema evolution. Competing choices sound plausible, but they miss the key condition.

Q74. What is the primary purpose of Delta schema evolution?

Select an answer to check.

Answer: mergeSchema=true to add columns on write.

For this question, mergeSchema=true to add columns on write. is correct. Use with care. This is the most accurate statement for what is the primary purpose of delta schema. Competing choices sound plausible, but they miss the key condition.

Q75. Which statement about Delta schema evolution is most accurate?

Select an answer to check.

Answer: mergeSchema=true to add columns on write.

mergeSchema=true to add columns on write. is the correct answer here. Use with care. This is the most accurate statement for which statement about delta schema evolution is most. Competing choices sound plausible, but they miss the key condition.

Q76. How is Delta schema evolution best characterized?

Select an answer to check.

Answer: mergeSchema=true to add columns on write.

Here, mergeSchema=true to add columns on write. is the right choice. Use with care. It aligns directly with what the question asks about how is delta schema evolution best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q77. Which option best describes backfill on schema change?

Select an answer to check.

Answer: Reprocess old data with new logic if needed.

In this case, Reprocess old data with new logic if needed. is correct. Use audit columns. It aligns directly with what the question asks about which option best describes backfill on schema change. The remaining choices fail because they don’t satisfy the full definition.

Q78. What is the primary purpose of backfill on schema change?

Select an answer to check.

Answer: Reprocess old data with new logic if needed.

The best option here is Reprocess old data with new logic if needed.. Use audit columns. It aligns directly with what the question asks about what is the primary purpose of backfill on. The remaining choices fail because they don’t satisfy the full definition.

Q79. Which statement about backfill on schema change is most accurate?

Select an answer to check.

Answer: Reprocess old data with new logic if needed.

For this question, Reprocess old data with new logic if needed. is correct. Use audit columns. It aligns directly with what the question asks about which statement about backfill on schema change is. The remaining choices fail because they don’t satisfy the full definition.

Q80. How is backfill on schema change best characterized?

Select an answer to check.

Answer: Reprocess old data with new logic if needed.

Reprocess old data with new logic if needed. is the correct answer here. Use audit columns. It aligns directly with what the question asks about how is backfill on schema change best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q81. Which option best describes data contracts?

Select an answer to check.

Answer: Agreements binding producers to schemas.

Here, Agreements binding producers to schemas. is the right choice. Stable interfaces. This matches the core idea being tested around which option best describes data contracts. The remaining choices fail because they don’t satisfy the full definition.

Q82. What is the primary purpose of data contracts?

Select an answer to check.

Answer: Agreements binding producers to schemas.

In this case, Agreements binding producers to schemas. is correct. Stable interfaces. This matches the core idea being tested around what is the primary purpose of data contracts. The remaining choices fail because they don’t satisfy the full definition.

Q83. Which statement about data contracts is most accurate?

Select an answer to check.

Answer: Agreements binding producers to schemas.

The best option here is Agreements binding producers to schemas.. Stable interfaces. This matches the core idea being tested around which statement about data contracts is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q84. How is data contracts best characterized?

Select an answer to check.

Answer: Agreements binding producers to schemas.

For this question, Agreements binding producers to schemas. is correct. Stable interfaces. This matches the core idea being tested around how is data contracts best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q85. Which option best describes breaking change policy?

Select an answer to check.

Answer: Process for risky schema changes.

Process for risky schema changes. is the correct answer here. Versioning + deprecation. This matches the core idea being tested around which option best describes breaking change policy. The remaining choices fail because they don’t satisfy the full definition.

Q86. What is the primary purpose of breaking change policy?

Select an answer to check.

Answer: Process for risky schema changes.

Here, Process for risky schema changes. is the right choice. Versioning + deprecation. That is exactly the concept behind what is the primary purpose of breaking change in this context. The remaining choices fail because they don’t satisfy the full definition.

Q87. Which statement about breaking change policy is most accurate?

Select an answer to check.

Answer: Process for risky schema changes.

In this case, Process for risky schema changes. is correct. Versioning + deprecation. That is exactly the concept behind which statement about breaking change policy is most in this context. The remaining choices fail because they don’t satisfy the full definition.

Q88. How is breaking change policy best characterized?

Select an answer to check.

Answer: Process for risky schema changes.

The best option here is Process for risky schema changes.. Versioning + deprecation. That is exactly the concept behind how is breaking change policy best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.

Q89. Which option best describes versioned APIs?

Select an answer to check.

Answer: V1, V2 schemas for consumers to migrate.

For this question, V1, V2 schemas for consumers to migrate. is correct. Reduces churn. That is exactly the concept behind which option best describes versioned apis in this context. The remaining choices fail because they don’t satisfy the full definition.

Q90. What is the primary purpose of versioned APIs?

Select an answer to check.

Answer: V1, V2 schemas for consumers to migrate.

V1, V2 schemas for consumers to migrate. is the correct answer here. Reduces churn. That is exactly the concept behind what is the primary purpose of versioned apis in this context. The remaining choices fail because they don’t satisfy the full definition.

Q91. Which statement about versioned APIs is most accurate?

Select an answer to check.

Answer: V1, V2 schemas for consumers to migrate.

Here, V1, V2 schemas for consumers to migrate. is the right choice. Reduces churn. It fits the requirement in the prompt about which statement about versioned apis is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q92. How is versioned APIs best characterized?

Select an answer to check.

Answer: V1, V2 schemas for consumers to migrate.

In this case, V1, V2 schemas for consumers to migrate. is correct. Reduces churn. It fits the requirement in the prompt about how is versioned apis best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q93. Which option best describes schema linter?

Select an answer to check.

Answer: CI tool checking compatibility on PRs.

The best option here is CI tool checking compatibility on PRs.. Prevents accidents. It fits the requirement in the prompt about which option best describes schema linter. The remaining choices fail because they don’t satisfy the full definition.

Q94. What is the primary purpose of schema linter?

Select an answer to check.

Answer: CI tool checking compatibility on PRs.

For this question, CI tool checking compatibility on PRs. is correct. Prevents accidents. It fits the requirement in the prompt about what is the primary purpose of schema linter. The remaining choices fail because they don’t satisfy the full definition.

Q95. Which statement about schema linter is most accurate?

Select an answer to check.

Answer: CI tool checking compatibility on PRs.

CI tool checking compatibility on PRs. is the correct answer here. Prevents accidents. It fits the requirement in the prompt about which statement about schema linter is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q96. How is schema linter best characterized?

Select an answer to check.

Answer: CI tool checking compatibility on PRs.

Here, CI tool checking compatibility on PRs. is the right choice. Prevents accidents. This is the most accurate statement for how is schema linter best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q97. Which option best describes alerting on drift?

Select an answer to check.

Answer: Detect/alert when source schema changes unexpectedly.

In this case, Detect/alert when source schema changes unexpectedly. is correct. Catch issues early. This is the most accurate statement for which option best describes alerting on drift. The remaining choices fail because they don’t satisfy the full definition.

Q98. What is the primary purpose of alerting on drift?

Select an answer to check.

Answer: Detect/alert when source schema changes unexpectedly.

The best option here is Detect/alert when source schema changes unexpectedly.. Catch issues early. This is the most accurate statement for what is the primary purpose of alerting on. The remaining choices fail because they don’t satisfy the full definition.

Q99. Which statement about alerting on drift is most accurate?

Select an answer to check.

Answer: Detect/alert when source schema changes unexpectedly.

For this question, Detect/alert when source schema changes unexpectedly. is correct. Catch issues early. This is the most accurate statement for which statement about alerting on drift is most. The remaining choices fail because they don’t satisfy the full definition.

Q100. How is alerting on drift best characterized?

Select an answer to check.

Answer: Detect/alert when source schema changes unexpectedly.

Detect/alert when source schema changes unexpectedly. is the correct answer here. Catch issues early. This is the most accurate statement for how is alerting on drift best characterized. The remaining choices fail because they don’t satisfy the full definition.