- A
Increase the desired capacity of the Auto Scaling group.
Why wrong: Always running more instances increases cost unnecessarily during low load.
- B
Configure a CloudWatch alarm on the queue depth to trigger Auto Scaling policies.
Cost-effectively scales consumers based on demand.
- C
Use a larger instance type for the EC2 instances.
Why wrong: Does not address the need for more consumers.
- D
Increase the visibility timeout of the SQS queue.
Why wrong: Does not increase processing capacity.
Question 391 of 1,546
SOA-C02 Reliability and Business Continuity Practice Question
This SOA-C02 practice question tests your understanding of reliability and business continuity. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
An application running on EC2 instances in an Auto Scaling group uses an SQS queue for decoupling. The application experiences increased latency when the queue has a high number of messages. The SysOps Administrator needs to maintain responsiveness. Which solution is the most cost-effective?
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
✓
Configure a CloudWatch alarm on the queue depth to trigger Auto Scaling policies.
Option B is correct because using a CloudWatch alarm on the SQS queue depth (ApproximateNumberOfMessagesVisible) to trigger Auto Scaling policies allows the Auto Scaling group to dynamically add EC2 instances only when the queue grows, directly addressing increased latency by scaling out compute capacity. This is the most cost-effective approach as it scales resources based on actual demand, avoiding over-provisioning.
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.
- ✗
Increase the desired capacity of the Auto Scaling group.
Why it's wrong here
Always running more instances increases cost unnecessarily during low load.
- ✓
Configure a CloudWatch alarm on the queue depth to trigger Auto Scaling policies.
Why this is correct
Cost-effectively scales consumers based on demand.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a larger instance type for the EC2 instances.
Why it's wrong here
Does not address the need for more consumers.
- ✗
Increase the visibility timeout of the SQS queue.
Why it's wrong here
Does not increase processing capacity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse static scaling (Option A) or vertical scaling (Option C) with dynamic, demand-based scaling, or mistakenly think that increasing the visibility timeout (Option D) will reduce queue depth, when in fact it only delays message reprocessing.
Detailed technical explanation
How to think about this question
Under the hood, the SQS queue depth metric (ApproximateNumberOfMessagesVisible) is published to CloudWatch every 60 seconds by default, and a CloudWatch alarm can trigger a scaling policy via a target tracking or step scaling action. In real-world scenarios, this dynamic scaling is critical for bursty workloads where message volume spikes unpredictably, ensuring that the Auto Scaling group adds instances before the queue backlog causes significant latency, while also terminating idle instances to save costs.
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
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
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Reliability and Business Continuity — study guide chapter
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FAQ
Questions learners often ask
What does this SOA-C02 question test?
Reliability and Business Continuity — This question tests Reliability and Business Continuity — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure a CloudWatch alarm on the queue depth to trigger Auto Scaling policies. — Option B is correct because using a CloudWatch alarm on the SQS queue depth (ApproximateNumberOfMessagesVisible) to trigger Auto Scaling policies allows the Auto Scaling group to dynamically add EC2 instances only when the queue grows, directly addressing increased latency by scaling out compute capacity. This is the most cost-effective approach as it scales resources based on actual demand, avoiding over-provisioning.
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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Last reviewed: Jul 4, 2026
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