What is the purpose of index in SQL server?

Question

A) To enhance the query performance

B) To provide an index to a record

C) To perform fast searches

D) All of the mentioned

Answer 1

The purpose of an index in SQL Server is to enhance query performance, provide an index to a record, and perform fast searches. Indexes are created on one or more columns and store indexed values along with pointers to the actual data rows. This allows for quicker access to specific records based on the indexed values, reducing the need to scan the entire table. By leveraging data structures like B-trees or hash tables, indexes optimize the search process and minimize the amount of data that needs to be scanned and processed, resulting in improved query performance.

Answer 2

The correct answer to the question “What is the purpose of the index in SQL server” is option (d). All of the mentioned Indexes are used in SQL Server to gain enhance the query performance and to provide an index to a record. Therefore, the correct answer is All of the mentioned. If you are interested in learning SQL and would want to get certified then check out the SQL course from Intellipaat. Also, watch a video on SQL Tutorial to get a better understanding.

Answer 3

D) All of the mentioned.

Answer 4

The purpose of an index in SQL Server is option D) All of the mentioned.

Indexes are used to enhance query performance by allowing the database engine to quickly locate and retrieve specific data from tables.

By creating an index on one or more columns, SQL Server creates a separate data structure that organizes the indexed values and their corresponding row locations.

This structure enables efficient searching and retrieval operations, reducing the need to scan the entire table.

Indexes provide an index to a record by storing the indexed values along with pointers to the actual data rows.

This allows for faster access to specific records based on the indexed values.

Furthermore, indexes enable fast searches by leveraging various data structures like B-trees or hash tables to optimize the search process.

They improve query performance by minimizing the amount of data that needs to be scanned and processed.