Data ETL Quality & Validation MCQ Questions with Answers – Page 2 (Latest 2026)
Practice Data ETL Quality & Validation 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 row count delta is most accurate?
Select an answer to check.
Answer: Change in row count vs previous run.
Here, Change in row count vs previous run. is the right choice. Catches major regressions. It aligns directly with what the question asks about which statement about row count delta is most. Competing choices sound plausible, but they miss the key condition.
Q52. How is row count delta best characterized?
Select an answer to check.
Answer: Change in row count vs previous run.
In this case, Change in row count vs previous run. is correct. Catches major regressions. It aligns directly with what the question asks about how is row count delta best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes null fraction?
Select an answer to check.
Answer: Percentage of nulls per column.
The best option here is Percentage of nulls per column.. Track over time. It aligns directly with what the question asks about which option best describes null fraction. Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of null fraction?
Select an answer to check.
Answer: Percentage of nulls per column.
For this question, Percentage of nulls per column. is correct. Track over time. It aligns directly with what the question asks about what is the primary purpose of null fraction. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about null fraction is most accurate?
Select an answer to check.
Answer: Percentage of nulls per column.
Percentage of nulls per column. is the correct answer here. Track over time. It aligns directly with what the question asks about which statement about null fraction is most accurate. Competing choices sound plausible, but they miss the key condition.
Q56. How is null fraction best characterized?
Select an answer to check.
Answer: Percentage of nulls per column.
Here, Percentage of nulls per column. is the right choice. Track over time. This matches the core idea being tested around how is null fraction best characterized. Competing choices sound plausible, but they miss the key condition.
Q57. Which option best describes primary key checks?
Select an answer to check.
Answer: Ensure PK uniqueness and not null.
In this case, Ensure PK uniqueness and not null. is correct. Foundational integrity. This matches the core idea being tested around which option best describes primary key checks. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of primary key checks?
Select an answer to check.
Answer: Ensure PK uniqueness and not null.
The best option here is Ensure PK uniqueness and not null.. Foundational integrity. This matches the core idea being tested around what is the primary purpose of primary key. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about primary key checks is most accurate?
Select an answer to check.
Answer: Ensure PK uniqueness and not null.
For this question, Ensure PK uniqueness and not null. is correct. Foundational integrity. This matches the core idea being tested around which statement about primary key checks is most. Competing choices sound plausible, but they miss the key condition.
Q60. How is primary key checks best characterized?
Select an answer to check.
Answer: Ensure PK uniqueness and not null.
Ensure PK uniqueness and not null. is the correct answer here. Foundational integrity. This matches the core idea being tested around how is primary key checks best characterized. Competing choices sound plausible, but they miss the key condition.
Q61. Which option best describes foreign key checks?
Select an answer to check.
Answer: Ensure FKs reference existing rows.
Here, Ensure FKs reference existing rows. is the right choice. Often deferred in lakes. That is exactly the concept behind which option best describes foreign key checks in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of foreign key checks?
Select an answer to check.
Answer: Ensure FKs reference existing rows.
In this case, Ensure FKs reference existing rows. is correct. Often deferred in lakes. That is exactly the concept behind what is the primary purpose of foreign key in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about foreign key checks is most accurate?
Select an answer to check.
Answer: Ensure FKs reference existing rows.
The best option here is Ensure FKs reference existing rows.. Often deferred in lakes. That is exactly the concept behind which statement about foreign key checks is most in this context. Competing choices sound plausible, but they miss the key condition.
Q64. How is foreign key checks best characterized?
Select an answer to check.
Answer: Ensure FKs reference existing rows.
For this question, Ensure FKs reference existing rows. is correct. Often deferred in lakes. That is exactly the concept behind how is foreign key checks best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes data contracts?
Select an answer to check.
Answer: Producer/consumer schema/SLA agreements.
Producer/consumer schema/SLA agreements. is the correct answer here. Stable interfaces. That is exactly the concept behind which option best describes data contracts in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of data contracts?
Select an answer to check.
Answer: Producer/consumer schema/SLA agreements.
Here, Producer/consumer schema/SLA agreements. is the right choice. Stable interfaces. It fits the requirement in the prompt about what is the primary purpose of data contracts. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about data contracts is most accurate?
Select an answer to check.
Answer: Producer/consumer schema/SLA agreements.
In this case, Producer/consumer schema/SLA agreements. is correct. Stable interfaces. It fits the requirement in the prompt about which statement about data contracts is most accurate. Competing choices sound plausible, but they miss the key condition.
Q68. How is data contracts best characterized?
Select an answer to check.
Answer: Producer/consumer schema/SLA agreements.
The best option here is Producer/consumer schema/SLA agreements.. Stable interfaces. It fits the requirement in the prompt about how is data contracts best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes data lineage?
Select an answer to check.
Answer: Trace transformations end-to-end.
For this question, Trace transformations end-to-end. is correct. Aids governance. It fits the requirement in the prompt about which option best describes data lineage. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of data lineage?
Select an answer to check.
Answer: Trace transformations end-to-end.
Trace transformations end-to-end. is the correct answer here. Aids governance. It fits the requirement in the prompt about what is the primary purpose of data lineage. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about data lineage is most accurate?
Select an answer to check.
Answer: Trace transformations end-to-end.
Here, Trace transformations end-to-end. is the right choice. Aids governance. This is the most accurate statement for which statement about data lineage is most accurate. Competing choices sound plausible, but they miss the key condition.
Q72. How is data lineage best characterized?
Select an answer to check.
Answer: Trace transformations end-to-end.
In this case, Trace transformations end-to-end. is correct. Aids governance. This is the most accurate statement for how is data lineage best characterized. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes data observability platforms?
The best option here is Tools tracking freshness, volume, schema, distribution.. Monte Carlo, Bigeye, etc. This is the most accurate statement for which option best describes data observability platforms. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of data observability platforms?
For this question, Tools tracking freshness, volume, schema, distribution. is correct. Monte Carlo, Bigeye, etc. This is the most accurate statement for what is the primary purpose of data observability. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about data observability platforms is most accurate?
Tools tracking freshness, volume, schema, distribution. is the correct answer here. Monte Carlo, Bigeye, etc. This is the most accurate statement for which statement about data observability platforms is most. Competing choices sound plausible, but they miss the key condition.
Q76. How is data observability platforms best characterized?
Here, Tools tracking freshness, volume, schema, distribution. is the right choice. Monte Carlo, Bigeye, etc. It aligns directly with what the question asks about how is data observability platforms best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q77. Which option best describes alerting on quality?
Select an answer to check.
Answer: Notify on broken expectations.
In this case, Notify on broken expectations. is correct. Operability. It aligns directly with what the question asks about which option best describes alerting on quality. The remaining choices fail because they don’t satisfy the full definition.
Q78. What is the primary purpose of alerting on quality?
Select an answer to check.
Answer: Notify on broken expectations.
The best option here is Notify on broken expectations.. Operability. It aligns directly with what the question asks about what is the primary purpose of alerting on. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about alerting on quality is most accurate?
Select an answer to check.
Answer: Notify on broken expectations.
For this question, Notify on broken expectations. is correct. Operability. It aligns directly with what the question asks about which statement about alerting on quality is most. The remaining choices fail because they don’t satisfy the full definition.
Q80. How is alerting on quality best characterized?
Select an answer to check.
Answer: Notify on broken expectations.
Notify on broken expectations. is the correct answer here. Operability. It aligns directly with what the question asks about how is alerting on quality best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes blocking vs warning checks?
Select an answer to check.
Answer: Stop pipeline vs annotate run.
Here, Stop pipeline vs annotate run. is the right choice. Match severity to impact. This matches the core idea being tested around which option best describes blocking vs warning checks. The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of blocking vs warning checks?
Select an answer to check.
Answer: Stop pipeline vs annotate run.
In this case, Stop pipeline vs annotate run. is correct. Match severity to impact. This matches the core idea being tested around what is the primary purpose of blocking vs. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about blocking vs warning checks is most accurate?
Select an answer to check.
Answer: Stop pipeline vs annotate run.
The best option here is Stop pipeline vs annotate run.. Match severity to impact. This matches the core idea being tested around which statement about blocking vs warning checks is. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is blocking vs warning checks best characterized?
Select an answer to check.
Answer: Stop pipeline vs annotate run.
For this question, Stop pipeline vs annotate run. is correct. Match severity to impact. This matches the core idea being tested around how is blocking vs warning checks best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes data quality scorecards?
Select an answer to check.
Answer: Aggregate quality KPIs.
Aggregate quality KPIs. is the correct answer here. Track over time. This matches the core idea being tested around which option best describes data quality scorecards. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of data quality scorecards?
Select an answer to check.
Answer: Aggregate quality KPIs.
Here, Aggregate quality KPIs. is the right choice. Track over time. That is exactly the concept behind what is the primary purpose of data quality in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about data quality scorecards is most accurate?
Select an answer to check.
Answer: Aggregate quality KPIs.
In this case, Aggregate quality KPIs. is correct. Track over time. That is exactly the concept behind which statement about data quality scorecards is most in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is data quality scorecards best characterized?
Select an answer to check.
Answer: Aggregate quality KPIs.
The best option here is Aggregate quality KPIs.. Track over time. That is exactly the concept behind how is data quality scorecards best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes data steward?
Select an answer to check.
Answer: Person responsible for a dataset's quality.
For this question, Person responsible for a dataset's quality. is correct. Governance role. That is exactly the concept behind which option best describes data steward in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of data steward?
Select an answer to check.
Answer: Person responsible for a dataset's quality.
Person responsible for a dataset's quality. is the correct answer here. Governance role. That is exactly the concept behind what is the primary purpose of data steward in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about data steward is most accurate?
Select an answer to check.
Answer: Person responsible for a dataset's quality.
Here, Person responsible for a dataset's quality. is the right choice. Governance role. It fits the requirement in the prompt about which statement about data steward is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is data steward best characterized?
Select an answer to check.
Answer: Person responsible for a dataset's quality.
In this case, Person responsible for a dataset's quality. is correct. Governance role. It fits the requirement in the prompt about how is data steward best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes data SLA / SLO?
Select an answer to check.
Answer: Commitment to consumers (freshness, accuracy).
The best option here is Commitment to consumers (freshness, accuracy).. Drives priorities. It fits the requirement in the prompt about which option best describes data sla / slo. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of data SLA / SLO?
Select an answer to check.
Answer: Commitment to consumers (freshness, accuracy).
For this question, Commitment to consumers (freshness, accuracy). is correct. Drives priorities. It fits the requirement in the prompt about what is the primary purpose of data sla. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about data SLA / SLO is most accurate?
Select an answer to check.
Answer: Commitment to consumers (freshness, accuracy).
Commitment to consumers (freshness, accuracy). is the correct answer here. Drives priorities. It fits the requirement in the prompt about which statement about data sla / slo is. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is data SLA / SLO best characterized?
Select an answer to check.
Answer: Commitment to consumers (freshness, accuracy).
Here, Commitment to consumers (freshness, accuracy). is the right choice. Drives priorities. This is the most accurate statement for how is data sla / slo best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes regression test datasets?
Select an answer to check.
Answer: Fixed inputs to validate pipeline outputs.
In this case, Fixed inputs to validate pipeline outputs. is correct. Reproducible CI checks. This is the most accurate statement for which option best describes regression test datasets. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of regression test datasets?
Select an answer to check.
Answer: Fixed inputs to validate pipeline outputs.
The best option here is Fixed inputs to validate pipeline outputs.. Reproducible CI checks. This is the most accurate statement for what is the primary purpose of regression test. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about regression test datasets is most accurate?
Select an answer to check.
Answer: Fixed inputs to validate pipeline outputs.
For this question, Fixed inputs to validate pipeline outputs. is correct. Reproducible CI checks. This is the most accurate statement for which statement about regression test datasets is most. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is regression test datasets best characterized?
Select an answer to check.
Answer: Fixed inputs to validate pipeline outputs.
Fixed inputs to validate pipeline outputs. is the correct answer here. Reproducible CI checks. This is the most accurate statement for how is regression test datasets best characterized. The remaining choices fail because they don’t satisfy the full definition.