CompTIA Cloud+ Practice Test

Which metrics would be useful for diagnosing SQL database response slowdowns?

1. Load balancer latency

2. Read replica I/O

3. Machine image

4. SLA

The correct answer is: Read replica I/O

When diagnosing SQL database response slowdowns, focusing on Read replica I/O is particularly useful because it provides insight into the performance of read operations and how efficiently data is being retrieved from the replicas. In scenarios where a database is under load or read-heavy, monitoring the I/O performance of read replicas helps identify if they are becoming a bottleneck. Monitoring metrics such as the number of read IOPS, latency in read operations, and throughput can inform administrators if the read replicas are struggling to keep up with the demand. Additionally, this metric can indicate issues like replication lag, where the read replicas are not reflecting the most current data due to delays in syncing with the primary database, potentially leading to slower response times for queries being executed on those replicas. While other options may provide some context about the environment, they do not directly relate to diagnosing SQL database performance issues. Load balancer latency concerns network traffic rather than database queries. Machine image refers to storage or duplication of server images, which does not apply to SQL performance metrics, and SLA pertains to agreed-upon service-level metrics but does not provide actionable insights on performance issues directly related to database operations.