DBS-C01 Management and Operations Practice Question
A company runs an Amazon RDS for MySQL Multi-AZ DB instance. The application experiences intermittent read latency spikes. The DB instance type is db.r5.large with 500 GB of General Purpose SSD (gp2) storage. The spike occurs during peak hours when read activity is high. Which action would most effectively reduce read latency?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create an Amazon RDS read replica and direct read traffic to it.
Adding an RDS read replica offloads read traffic from the primary DB instance, reducing read contention and latency. Option A is incorrect because changing to io1 improves I/O performance but does not address read contention from high read load on the primary. Option B is incorrect because Multi-AZ provides high availability but the standby replica does not serve read traffic. Option C is incorrect because increasing storage increases baseline IOPS but does not offload read operations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the storage type to Provisioned IOPS (io1).
Why it's wrong here
Changing to io1 can provide better I/O performance but does not resolve read contention from high read load on the primary instance.
- ✗
Enable Multi-AZ with a standby replica.
Why it's wrong here
Multi-AZ provides a standby for failover but the standby replica does not serve read traffic; it does not reduce read latency.
- ✗
Increase the allocated storage to 1 TB to improve IOPS.
Why it's wrong here
Increasing allocated storage to 1 TB increases baseline IOPS but does not offload read operations; read contention on the primary persists.
- ✓
Create an Amazon RDS read replica and direct read traffic to it.
Why this is correct
Creating an RDS read replica offloads read traffic from the primary instance, reducing read contention and latency.
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