Rigorous Rdbms Test - 66+ MCQs: RDBMS test: Evaluate Your Database Management Knowledge with RDBMS Questions and Answers

1. In the context of databases, what is a cursor?

A group of related data

A virtual table based on the result of a SELECT statement

A pointer used to iterate over a set of rows

An ordered list of values with corresponding row locations

2. Discuss the advantages and disadvantages of using database triggers.

Advantages: Automated actions in response to events, improved data integrity. Disadvantages: Increased complexity, potential performance overhead.

Advantages: Simplicity, reduced chances of errors. Disadvantages: Limited functionality, lack of flexibility.

Advantages: Improved query performance, enhanced security. Disadvantages: Limited event handling, increased development time.

Advantages: Increased data redundancy, reduced security risks. Disadvantages: Limited control over data changes, potential for errors.

3. What does the term 'Normalization' refer to in the context of databases?

Optimizing query performance

Reducing redundancy and dependency

Increasing data redundancy

Enhancing data encryption

4. What is the purpose of the GROUP BY clause in SQL?

To filter rows based on a condition

To sort the result set

To group rows that have the same values in specified columns

To perform mathematical calculations on numeric columns

5. What is the purpose of the HAVING clause in SQL, and how is it different from the WHERE clause?

HAVING is used for filtering rows based on conditions, while WHERE is used for grouping rows.

HAVING is used for grouping rows, while WHERE is used for filtering rows based on conditions.

HAVING and WHERE are interchangeable in SQL.

HAVING is used for sorting rows, while WHERE is used for filtering rows based on conditions.

6. What does the term 'Index' refer to in the context of databases?

A group of related data

A collection of SQL statements

An ordered list of values with corresponding row locations

A constraint that ensures data integrity

7. In the context of databases, what is a materialized view?

A group of related data

A virtual table based on the result of a SELECT statement

A constraint that ensures data integrity

A precomputed snapshot of a query result

8. Define the concept of a NoSQL database and provide examples of scenarios where it might be more suitable than a traditional RDBMS.

NoSQL databases are non-relational databases designed for flexible and scalable data storage. They are suitable for scenarios with large volumes of unstructured or semi-structured data, high scalability requirements, and dynamic schemas.

NoSQL databases are only suitable for small-scale applications with structured data.

NoSQL databases have limited scalability compared to traditional RDBMS.

NoSQL databases are primarily designed for strict consistency and are unsuitable for scenarios with dynamic data.

9. Which of the following is an example of a DDL (Data Definition Language) statement?

SELECT

UPDATE

DELETE

CREATE TABLE

10. In the context of databases, what is a transaction?

A group of related data

A set of SQL statements executed as a single unit of work

An index created on a specific column

A constraint that ensures data integrity

11. Which SQL statement is used to delete data from a database?

REMOVE FROM

DELETE

ERASE

DROP

12. Which of the following is an example of a database constraint?

ORDER BY

GROUP BY

HAVING

UNIQUE

13. What does SQL stand for in the context of databases?

Structured Query Language

System Query Language

Sequential Query Language

Standardized Query Language

14. What is the purpose of the ORDER BY clause in SQL?

To filter rows based on a condition

To sort the result set

To group rows based on a condition

To perform mathematical calculations on numeric columns

15. What is the purpose of the COMMIT statement in SQL?

To filter rows based on a condition

To undo changes made during the current transaction

To commit changes made during the current transaction

To sort the result set

16. Explain the concept of database normalization and its importance in database design.

Normalization is the process of reducing data redundancy and dependency in a database. It ensures efficient storage and avoids update anomalies.

Normalization involves adding redundancy to improve query performance in a database. It is not crucial for database design.

Normalization is a technique to increase data redundancy for faster retrieval.

Normalization is the process of creating duplicate data for backup purposes in a database.

17. Which normalization form ensures that there are no repeating groups of data?

First Normal Form (1NF)

Second Normal Form (2NF)

Third Normal Form (3NF)

Fourth Normal Form (4NF)

18. Which type of relationship is represented by a foreign key in a database?

One-to-Many

Many-to-Many

One-to-One

None of the above

19. What is the purpose of the DISTINCT keyword in a SELECT statement?

To filter rows based on a condition

To sort the result set

To remove duplicate rows from the result set

To group rows based on a condition

20. Which of the following is an example of an aggregate function in SQL?

JOIN

COUNT

WHERE

GROUP

21. Define the concept of database materialized views and situations where they can be advantageous.

Materialized views are precomputed snapshots of query results stored in the database. They offer advantages such as improved query performance and reduced load on the database.

Materialized views have no impact on query performance and should be avoided.

Materialized views are only suitable for small-scale databases with simple queries.

Materialized views are used to increase data redundancy and dependency in a database.

22. Explain the concept of multi-version concurrency control (MVCC) in the context of database transactions.

MVCC allows multiple versions of the same data to coexist, enabling concurrent transactions without blocking. It ensures consistency and isolation in database transactions.

MVCC has no impact on concurrency control in database transactions.

MVCC only applies to single-node databases and is irrelevant in distributed systems.

MVCC increases data redundancy and dependency in a database.

23. Discuss the concept of database sharding and its application in distributed database systems.

Sharding involves breaking a large database into smaller, more manageable pieces called shards. It enhances scalability and performance in distributed database systems.

Sharding is a technique to create backup copies of a database. It is not suitable for distributed systems.

Sharding increases data redundancy and dependency in a distributed database.

Sharding is only applicable to single-node databases and has no relevance in distributed systems.

24. Which of the following is an example of an INNER JOIN?

LEFT JOIN

OUTER JOIN

CROSS JOIN

EQUIJOIN

25. In the context of databases, what is a stored function?

A group of related data

A precompiled collection of one or more SQL statements

A user-defined operation that returns a single value

An ordered list of values with corresponding row locations

26. What is the purpose of the JOIN operation in SQL?

To filter rows based on a condition

To combine rows from two or more tables based on a related column

To sort the result set

To group rows based on a condition

27. What is the purpose of the PRIMARY KEY constraint in a database table?

Ensures uniqueness of a column

Allows NULL values

Specifies default values

Defines a foreign key

28. Which SQL statement is used to grant specific privileges on a database object?

GRANT PRIVILEGES

ALLOW ACCESS

GRANT ACCESS

GRANT

29. What is the purpose of the COALESCE function in SQL?

To filter rows based on a condition

To perform conditional logic in a SELECT statement

To return the first non-null expression in a list

To group rows based on a condition

30. What is the purpose of the CASE statement in SQL?

To filter rows based on a condition

To perform conditional logic in a SELECT statement

To sort the result set

To group rows based on a condition

RDBMS MCQ Test 3