The correct choice is to create a CloudWatch alarm on CPU utilization that triggers a Lambda function to modify the RDS instance class to a larger size. This works because the Lambda function can programmatically call the ModifyDBInstance API, allowing you to automatically scale RDS instance based on CPU utilization using CloudWatch alarm and Lambda, while the same alarm can also send an SNS notification to the team. On the AWS Certified SysOps Administrator Associate SOA-C02 exam, this scenario tests your understanding of event-driven automation versus static scaling policies—a common trap is choosing Auto Scaling groups or RDS Storage Autoscaling, which handle compute or storage differently. Remember that RDS instance class changes require a Lambda function for custom logic, not a direct scaling policy. Memory tip: “Lambda lifts the load” — Lambda is the only service that can both read the alarm state and call the ModifyDBInstance API with your custom conditions.
SOA-C02 Monitoring, Logging, and Remediation Practice Question
This SOA-C02 practice question tests your understanding of monitoring, logging, and remediation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A SysOps administrator notices that an RDS instance's CPU utilization is consistently above 80% during peak hours. The administrator wants to set up automated actions to scale the database and also notify the team. What should the administrator do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a CloudWatch alarm on CPU utilization that triggers a Lambda function to modify the RDS instance class to a larger size.
Option C is correct because it uses a CloudWatch alarm on CPU utilization to trigger a Lambda function, which can programmatically call the ModifyDBInstance API to scale the RDS instance class up during peak hours. This provides automated, event-driven scaling based on actual utilization, and the same alarm can be configured to send an SNS notification to the team. This approach is flexible and allows custom logic in Lambda, such as checking current metrics before scaling.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Configure a scheduled scaling action to change the instance class during peak hours.
Why it's wrong here
Scheduled scaling does not respond to actual load and may not be appropriate if peak hours vary.
✗
Add the RDS instance to an Auto Scaling group.
Why it's wrong here
RDS instances cannot be added to Auto Scaling groups.
✓
Create a CloudWatch alarm on CPU utilization that triggers a Lambda function to modify the RDS instance class to a larger size.
Why this is correct
This provides a manual-like automated scaling by triggering a Lambda function to modify the instance class.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable RDS Auto Scaling for the instance.
Why it's wrong here
RDS Auto Scaling is only for storage, not compute.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse RDS Auto Scaling (which only handles storage) with compute scaling, or they mistakenly think RDS can be added to an Auto Scaling group like EC2 instances, leading them to choose option B or D.
Detailed technical explanation
How to think about this question
The Lambda function in option C can use the AWS SDK (e.g., boto3 for Python) to call modify_db_instance with the DBInstanceClass parameter, and it should include ApplyImmediately=True to avoid waiting for the next maintenance window. A real-world consideration is that scaling up the instance class may cause a brief outage (failover or reboot) depending on the DB engine and Multi-AZ configuration, so the Lambda should check if the instance is already at the maximum allowed class to avoid unnecessary scaling. Additionally, the CloudWatch alarm should have a period of at least 1 minute and evaluate multiple consecutive breaching periods to avoid flapping.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Monitoring, Logging, and Remediation — This question tests Monitoring, Logging, and Remediation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a CloudWatch alarm on CPU utilization that triggers a Lambda function to modify the RDS instance class to a larger size. — Option C is correct because it uses a CloudWatch alarm on CPU utilization to trigger a Lambda function, which can programmatically call the ModifyDBInstance API to scale the RDS instance class up during peak hours. This provides automated, event-driven scaling based on actual utilization, and the same alarm can be configured to send an SNS notification to the team. This approach is flexible and allows custom logic in Lambda, such as checking current metrics before scaling.
What should I do if I get this SOA-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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