Database Performance Tuning: Master Optimization Techniques

Question 1

Which of the following is NOT a benefit of using indexing to optimize database performance?

Accepted Answer

Enhanced data security

Answer

Faster query execution

Answer

Fewer I/O operations

Answer

Reduced storage space

Question 2

What is the purpose of a clustered index?

Accepted Answer

To organize data physically on the disk based on a specified column

Answer

To improve search performance for multiple columns

Answer

To enforce unique constraints

Answer

To prevent duplicate data entry

Question 3

Which of the following query optimization techniques involves rewriting the query to make it more efficient, such as using appropriate joins or avoiding unnecessary subqueries?

Accepted Answer

Query refactoring

Answer

Index creation

Answer

Index tuning

Answer

Hardware upgrade

Question 4

What is the primary goal of database performance tuning?

Accepted Answer

To enhance user experience by reducing query response times and improving overall system responsiveness

Answer

To minimize downtime

Answer

To improve data accuracy

Answer

To comply with regulatory requirements

Question 5

Which of the following is NOT a direct advantage of performance monitoring and analysis in database systems?

Accepted Answer

Enhanced data security

Answer

Early detection of performance problems

Answer

Improved resource utilization

Answer

Reduced system downtime

Question 6

Which of these factors does NOT affect database performance?

Accepted Answer

Programming language used to access the database

Answer

Database structure

Answer

Hardware specifications

Answer

User queries

Question 7

What is the main goal of denormalization?

Accepted Answer

Reducing query execution time

Answer

Enhancing data integrity

Answer

Minimizing data redundancy

Answer

Facilitating data updates

Question 8

What is the purpose of horizontal partitioning?

Accepted Answer

Distributing data across multiple servers

Answer

Enhancing query performance

Answer

Improving data security

Answer

Minimizing data storage costs

Question 9

What is the primary objective of database performance tuning?

Accepted Answer

Optimizing query response time

Answer

Minimizing resource usage

Answer

Preventing data breaches

Answer

Enhancing data storage capacity

Question 10

What is the purpose of query caching in a database system?

Accepted Answer

To store frequently executed queries for faster retrieval

Answer

To reduce the workload on the database server

Answer

To create backups of important queries

Answer

To prevent data loss in case of server failures

Question 11

Which of the following is a widely used indexing technique for data in databases?

Accepted Answer

B-Tree

Answer

Hashing

Answer

Linked List

Answer

Sequential File Organization

Question 12

What is the objective of query optimization in the context of database management?

Accepted Answer

To improve the efficiency of queries by reducing their execution time

Answer

To ensure data integrity and confidentiality

Answer

To automate database management tasks

Answer

To create a visual representation of the database schema

Question 13

What is a performance bottleneck in a database system?

Accepted Answer

A point where the system experiences a significant slowdown

Answer

A type of database lock that prevents concurrent data access

Answer

A design flaw that results in inefficient query execution

Answer

A hardware component that is malfunctioning

Question 14

Which of the following is NOT a technique to address performance bottlenecks in databases?

Accepted Answer

Ignoring the issue

Answer

Implementing indexes

Answer

Optimizing queries

Answer

Upgrading hardware

Question 15

What is the main distinction between a clustered index and a non-clustered index?

Accepted Answer

A clustered index physically arranges the data on disk based on the index values, while a non-clustered index creates a separate logical order.

Answer

A non-clustered index physically arranges the data on disk based on the index values, while a clustered index creates a separate logical order.

Answer

Clustered indexes are always unique, whereas non-clustered indexes can be non-unique.

Answer

Non-clustered indexes are always unique, whereas clustered indexes can be non-unique.

Question 16

How does data fragmentation affect database performance?

Accepted Answer

It can slow down data retrieval and updates due to scattered data storage.

Answer

It can enhance data security by making it harder for unauthorized access.

Answer

It has no impact on performance, as the database manages fragmentation automatically.

Answer

It can reduce database storage space, as fragmented data takes up less space.

Question 17

Which query optimization technique involves breaking down a complex query into simpler, more efficient queries?

Accepted Answer

Query Decomposition

Answer

Query Caching

Answer

Index Optimization

Answer

Predicate Pushdown

Question 18

What is the core objective of query optimization?

Accepted Answer

To minimize query execution time and conserve system resources.

Answer

To enhance database security by preventing unauthorized access.

Answer

To improve data accuracy by eliminating errors.

Question 19

A common performance bottleneck caused by excessive database connections is:

Accepted Answer

Resource Contention

Answer

Deadlocks

Answer

Data Corruption

Answer

Query Timeouts

Question 20

Which industry-standard tool is commonly employed to identify and resolve database performance bottlenecks?

Accepted Answer

Query Profiler

Answer

Network Monitor

Answer

Database Schema Designer

Answer

Data Modeling Software

Question 21

What is the purpose of a query plan?

Accepted Answer

To outline the steps that the database management system will take to execute a query.

Answer

To store the results of a query for future reference.

Answer

To optimize query performance by suggesting improvements.

Question 22

Denormalization is a database performance technique that involves:

Accepted Answer

Introducing redundancy into the database by repeating data in multiple tables.

Answer

Deleting redundant data from the database.

Answer

Increasing the size of the database to accommodate more data.

Answer

Creating unnecessary indexes on tables.

Question 23

Excessive indexing can lead to the potential downside of:

Accepted Answer

Increased time required for data insertion and updates.

Answer

Reduced database size due to index compression.

Answer

Improved query performance for all queries.

Answer

Enhanced data security due to more restrictions.