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IT370 DBMS Midterm Exam Review 2025 (Qns & Ans

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Uploaded on
May 6, 2025
Number of pages
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Written in
2024/2025
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IT370

Database Management Systems

3.0 Credits

Midterm Exam Review (Qns & Ans)

2025




©2025

,1. Question:
Which normal form primarily eliminates transitive dependencies in
a relational schema?
- a. First Normal Form (1NF)
- b. Second Normal Form (2NF)
- c. Third Normal Form (3NF)
- d. Boyce-Codd Normal Form (BCNF)

ANS: c. Third Normal Form (3NF)
Rationale:
Third Normal Form (3NF) requires that every non-prime attribute
is non-transitively dependent on the primary key, thereby
eliminating transitive dependencies and reducing redundancy.

2. Question:
Which SQL clause allows for performing aggregate calculations
over a set of rows related to the current row without collapsing the
results into a single output row?
- a. GROUP BY
- b. HAVING
- c. OVER
- d. DISTINCT

ANS: c. OVER
Rationale:
Window functions using the OVER clause perform calculations
over a set of rows (a window) without grouping them into a single
row. This is useful for running totals, moving averages, etc.

3. Question:
Which transaction property ensures that either all of the
operations in a transaction are performed or none are performed?
- a. Consistency
- b. Isolation
- c. Durability
- d. Atomicity
©2025

, ANS: d. Atomicity
Rationale:
Atomicity guarantees that a transaction is all-or-nothing. If any
part of the transaction fails, the entire transaction is aborted to
maintain the integrity of the database.

4. Question:
In the ARIES recovery algorithm, which technique is used to
ensure that transactions are rebuilt correctly after a crash?
- a. Shadow paging
- b. Write-ahead logging
- c. Checkpointing
- d. Two-phase commit

ANS: b. Write-ahead logging
Rationale:
ARIES (Algorithm for Recovery and Isolation Exploiting
Semantics) relies on write-ahead logging to record all changes
before they are applied, enabling the system to redo or undo
operations during recovery.

5. Question:
Which indexing structure is most commonly employed in
relational databases to efficiently support both point queries and
range queries?
- a. Hash index
- b. Bitmap index
- c. B+ tree index
- d. R-tree index

ANS: c. B+ tree index
Rationale:
B+ tree indexes are widely used because they maintain sorted
order, which is ideal for both point and range queries, and offer
logarithmic access time.

6. Question:
©2025

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