Your company's database is experiencing slow query performance during peak usage hours. How would you troubleshoot and optimize the queries to maintain optimal performance levels?
- Analyze query logs and execution times, Identify and resolve blocking queries, Optimize database indexes, Consider query caching
- Backup and restore the entire database, Optimize only the most frequently used queries, Ignore query logs, Add more indexes without analysis
- Disable query caching, Increase server memory, Use NoSQL instead of SQL, Optimize the network configuration
- Reboot the database server, Purge all old records, Increase the database security, Change the database schema
Troubleshooting slow query performance involves analyzing query logs, execution times, and identifying/resolving blocking queries. Optimizing indexes and considering query caching are effective strategies to maintain optimal performance during peak hours.
Loading...
Related Quiz
- What is the difference between "git merge" and "git rebase"?
- A company needs to handle large volumes of semi-structured data. Which type of database would you recommend, and why?
- What command is used to create a new branch in Git?
- The HTTP _______ status code is used to indicate that the requested resource could not be found.
- Which SDLC model is best suited for projects where requirements are well-defined and unlikely to change?