When faced with slow SQL requests, what can a database administrator use to improve efficiency?

When faced with slow SQL requests, what can a database administrator use to improve efficiency?

• A. Database replication
• B. Query optimization
• C. Indexing strategies
• D. Data normalization

Answer: (B)

When dealing with slow SQL requests, query optimization is a highly effective way to enhance efficiency. Query optimization involves analyzing and restructuring SQL queries to reduce execution time and resource consumption. This may include rewriting queries for better performance, ensuring that they access only the necessary data, and using appropriate joins and subqueries. By optimizing queries, a database administrator can significantly improve response times for end-users, leading to a more efficient and user-friendly experience. The other options, while useful in different contexts, do not directly address the immediate need to enhance the efficiency of specific SQL queries. Database replication is primarily concerned with data redundancy and availability rather than query speed. Indexing strategies may improve performance, but they necessitate the overhead of maintaining indices and can become complex if not managed carefully. Data normalization focuses on reducing data redundancy and improving data integrity, but it may not directly contribute to the performance of existing queries without considering specific query patterns and requirements.

When dealing with slow SQL requests, query optimization is a highly effective way to enhance efficiency. Query optimization involves analyzing and restructuring SQL queries to reduce execution time and resource consumption. This may include rewriting queries for better performance, ensuring that they access only the necessary data, and using appropriate joins and subqueries. By optimizing queries, a database administrator can significantly improve response times for end-users, leading to a more efficient and user-friendly experience.

The other options, while useful in different contexts, do not directly address the immediate need to enhance the efficiency of specific SQL queries. Database replication is primarily concerned with data redundancy and availability rather than query speed. Indexing strategies may improve performance, but they necessitate the overhead of maintaining indices and can become complex if not managed carefully. Data normalization focuses on reducing data redundancy and improving data integrity, but it may not directly contribute to the performance of existing queries without considering specific query patterns and requirements.