A company runs a production Amazon RDS for PostgreSQL DB instance. The database experiences intermittent high latency during peak hours. The company's monitoring shows that CPU utilization is below 40%, memory is adequate, and network throughput is normal. The DB instance uses General Purpose SSD (gp2) storage with 3,000 Provisioned IOPS. Which TWO actions should a database specialist take to diagnose and resolve the performance issue? (Choose two.)
Trap 1: Change the storage type to Provisioned IOPS SSD (io1) with 10,000…
Incorrect: Premature without confirming the current storage performance metrics.
Trap 2: Increase the Read IOPS by modifying the instance to a larger…
Incorrect: This addresses compute, not storage; the issue is likely storage-related.
Trap 3: Review the SwapUsage metric for the DB instance to check for memory…
Incorrect: CPU and memory are normal, so memory pressure is unlikely.
- A
Check the Burst Balance metric in Amazon CloudWatch for the DB instance.
Correct: gp2 volumes accumulate burst credits; if exhausted, performance drops to baseline IOPS, causing latency.
- B
Change the storage type to Provisioned IOPS SSD (io1) with 10,000 IOPS.
Why wrong: Incorrect: Premature without confirming the current storage performance metrics.
- C
Increase the Read IOPS by modifying the instance to a larger instance class.
Why wrong: Incorrect: This addresses compute, not storage; the issue is likely storage-related.
- D
Review the SwapUsage metric for the DB instance to check for memory pressure.
Why wrong: Incorrect: CPU and memory are normal, so memory pressure is unlikely.
- E
Monitor the Read/Write Latency metrics in CloudWatch to identify storage performance issues.
Correct: High latency indicates the storage subsystem is the bottleneck.