MySQL - Query Optimization MCQ

MySQL – Query Optimization MCQ

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1. What is the primary goal of query optimization in MySQL?

Enhancing query performance

Reducing data redundancy

Minimizing data integrity

Maximizing data redundancy

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2. What is the role of the query optimizer in MySQL?

Creating indexes

Managing database schemas

Evaluating execution plans

Storing query plans

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3. Why should you avoid using SELECT * in your queries?

It saves storage space

It improves query performance

It simplifies query writing

It retrieves all columns

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4. What is the purpose of using the LIMIT clause in a query?

To create indexes

To restrict the number of rows returned

To filter rows based on a condition

To join multiple tables

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5. What is the term for the process of transforming a query into an execution plan?

Query transformation

Query optimization

Query analysis

Query profiling

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6. What should you focus on when creating indexes for query optimization in MySQL?

Avoiding indexes

Creating indexes on all columns

Over-indexing

Indexes for frequently used columns

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7. What type of JOIN operation should you prefer for query optimization when possible?

SELF JOIN

INNER JOIN

FULL JOIN

OUTER JOIN

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8. What is the purpose of query result caching in MySQL?

To create indexes

To reduce query performance

To store query plans

To store frequently accessed data

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9. Why is normalization important in query optimization?

It reduces storage space

It increases data redundancy

It simplifies database design

It improves query performance

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10. When might denormalization be considered as a query optimization strategy?

For normalizing the schema

For reducing data integrity

For improving INSERT performance

For read-heavy workloads

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11. What does the EXPLAIN statement in MySQL help with?

Query writing

User authentication

Data encryption

Query execution plans

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12. What is the primary benefit of using stored procedures for query optimization?

Enhancing data integrity

Simplifying query writing

Increasing data redundancy

Reducing network latency

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13. What strategy can you use to optimize queries for large tables in MySQL?

Partitioning

Normalization

Caching

Indexing

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14. What does the term “query rewriting” refer to in the context of query optimization?

Adding more columns to a table

Creating new database tables

Simplifying query logic

Rebuilding indexes

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15. Which tool can help you identify slow-running queries in MySQL for optimization?

MySQL Workbench

MySQL Shell

MySQL Performance Schema

PHPMyAdmin

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16. When should you use the ANALYZE TABLE statement in MySQL?

To update table statistics

To simplify query logic

To analyze query plans

To create indexes

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17. What is the recommended approach for managing query redundancy in MySQL?

Create more indexes

Optimize queries based on query patterns

Avoid normalization

Denormalize the database schema

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18. What does the term “index fragmentation” refer to in MySQL?

The removal of indexes

An index with too many columns

A disordered index structure

The use of composite indexes

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19. What is the role of the key_buffer_size configuration setting in MySQL query optimization?

Optimizing query caching

Reducing index size

Increasing storage space

Managing user privileges

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20. How does the query cache impact query performance in MySQL?

It improves performance

It degrades performance

It has no impact on performance

It simplifies query writing

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21. What strategy can help optimize queries that involve sorting and aggregation in MySQL?

Using aggregate functions

Denormalization

Indexing

Partitioning

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22. Why is it important to update database statistics regularly for query optimization?

To reduce query complexity

To create more indexes

To analyze query plans

To help the query optimizer make better decisions

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23. Which tool can help you profile query performance and identify bottlenecks?

Query Performance Insights (QPI)

EXPLAIN statement

ANALYZE TABLE

CREATE INDEX

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24. What is the primary drawback of using too many indexes in MySQL?

Increased storage requirements

Improved query performance

Simplified data updates

Enhanced data integrity

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25. What term describes a situation where a query does not utilize an existing index effectively?

Index fragmentation

Query optimization

Index scan

Query inefficiency

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26. What is the role of the Query Performance Insights (QPI) feature in MySQL?

Creating indexes

Profiling query performance

Managing user privileges

Monitoring hardware resources

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