Data Modeling interview questions

18 real Data Modeling questions from the NoSQL bank, as asked in Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd — free to start.

1. What is Denormalization?

Junior
  1. A.storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  2. B.deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.an approach where structure is interpreted when data is queried rather than enforced when it is written
  4. D.a cluster of related objects treated as a single unit for storage and consistency boundaries
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3. Which statement is correct?

Junior
  1. A.Denormalization — an approach where structure is interpreted when data is queried rather than enforced when it is written
  2. B.Denormalization — deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.Denormalization — modeling records around the access patterns the application will run, rather than around normalized entities
  4. D.Denormalization — storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
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4. What is Embedding?

Mid
  1. A.modeling records around the access patterns the application will run, rather than around normalized entities
  2. B.deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.an approach where structure is interpreted when data is queried rather than enforced when it is written
  4. D.nesting related data inside a parent record so it is fetched and updated together as one unit
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6. Which statement is correct?

Mid
  1. A.Embedding — a cluster of related objects treated as a single unit for storage and consistency boundaries
  2. B.Embedding — modeling records around the access patterns the application will run, rather than around normalized entities
  3. C.Embedding — deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  4. D.Embedding — nesting related data inside a parent record so it is fetched and updated together as one unit
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7. What is Referencing?

Mid
  1. A.nesting related data inside a parent record so it is fetched and updated together as one unit
  2. B.deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.modeling records around the access patterns the application will run, rather than around normalized entities
  4. D.storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
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9. Which statement is correct?

Mid
  1. A.Referencing — a cluster of related objects treated as a single unit for storage and consistency boundaries
  2. B.Referencing — deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.Referencing — storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  4. D.Referencing — an approach where structure is interpreted when data is queried rather than enforced when it is written
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10. What is Aggregate?

Mid
  1. A.an approach where structure is interpreted when data is queried rather than enforced when it is written
  2. B.modeling records around the access patterns the application will run, rather than around normalized entities
  3. C.deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  4. D.a cluster of related objects treated as a single unit for storage and consistency boundaries
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12. Which statement is correct?

Mid
  1. A.Aggregate — a cluster of related objects treated as a single unit for storage and consistency boundaries
  2. B.Aggregate — storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  3. C.Aggregate — an approach where structure is interpreted when data is queried rather than enforced when it is written
  4. D.Aggregate — deliberately duplicating data across records to avoid joins and serve reads in a single lookup
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13. What is Schema-on-read?

Senior
  1. A.an approach where structure is interpreted when data is queried rather than enforced when it is written
  2. B.deliberately duplicating data across records to avoid joins and serve reads in a single lookup
  3. C.storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  4. D.a cluster of related objects treated as a single unit for storage and consistency boundaries
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15. Which statement is correct?

Senior
  1. A.Schema-on-read — storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  2. B.Schema-on-read — an approach where structure is interpreted when data is queried rather than enforced when it is written
  3. C.Schema-on-read — modeling records around the access patterns the application will run, rather than around normalized entities
  4. D.Schema-on-read — nesting related data inside a parent record so it is fetched and updated together as one unit
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16. What is Query-driven design?

Senior
  1. A.modeling records around the access patterns the application will run, rather than around normalized entities
  2. B.nesting related data inside a parent record so it is fetched and updated together as one unit
  3. C.storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
  4. D.a cluster of related objects treated as a single unit for storage and consistency boundaries
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18. Which statement is correct?

Senior
  1. A.Query-driven design — a cluster of related objects treated as a single unit for storage and consistency boundaries
  2. B.Query-driven design — modeling records around the access patterns the application will run, rather than around normalized entities
  3. C.Query-driven design — nesting related data inside a parent record so it is fetched and updated together as one unit
  4. D.Query-driven design — storing the identifier of a related record instead of its contents, requiring a second lookup to resolve it
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