DBS-C01 Monitoring and Troubleshooting Practice Question
A company's Amazon Aurora MySQL DB cluster is experiencing a failover event. Which THREE metrics in CloudWatch should be examined to understand the cause of the failover?
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
✓
ACUUtilization
(ACUUtilization) is correct because high ACU utilization can indicate resource exhaustion (CPU/memory pressure) that may trigger a failover in Aurora. Option D (DatabaseConnections) is correct because a sudden spike or drop in connections could signal issues like connection exhaustion or application failures that lead to failover. Option E (FailoverCount) is correct because this metric directly tracks the number of failover events; examining the timestamp of the last increment helps correlate with the incident. Option B (ReadLatency) is wrong because while high read latency can be a symptom, it is not a direct cause of failover; Aurora uses different mechanisms for read scaling. Option C (BinLogDiskUsage) is wrong because it relates to binary log storage for replication, not a direct trigger for failover.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
ACUUtilization
Why this is correct
High ACU utilization can trigger failover.
- ✗
ReadLatency
Why it's wrong here
Read latency is a symptom, not a direct cause.
- ✗
BinLogDiskUsage
Why it's wrong here
Binary log disk usage is not a direct cause of failover.
- ✓
DatabaseConnections
Why this is correct
High connection count can lead to resource exhaustion.
- ✓
FailoverCount
Why this is correct
Shows the number of failover events.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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