Scenario: A company's database experiences slow query performance during peak usage hours. What steps would you take to identify and address the performance issues?
- Analyze and optimize SQL queries, implement indexing strategies, scale hardware resources, and consider database caching mechanisms
- Monitor network bandwidth, increase database redundancy, partition tables, and implement query rate limiting
- Optimize the application code, increase server clock speed, enable database replication, and add more indexes
- Update the database software, restart the database server, archive old data, and implement load balancing
Slow query performance can be addressed by optimizing SQL queries, implementing proper indexing strategies, scaling hardware resources, and using database caching mechanisms. These steps help in identifying and resolving performance bottlenecks during peak hours.
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