- A
Configure an Auto Scaling step scaling policy based on MemoryReservation metric.
Why wrong: MemoryReservation is not a standard metric for CPU-based scaling.
- B
Use AWS CloudFront to cache responses and reduce load on the application.
Why wrong: CloudFront caching does not automatically scale compute resources.
- C
Configure an Auto Scaling simple scaling policy based on Average CPU Utilization > 70% for scale-out and < 30% for scale-in.
Correct approach using CPU utilization thresholds.
- D
Configure an Auto Scaling target tracking policy based on NetworkIn metric.
Why wrong: NetworkIn is not CPU utilization; does not address latency caused by CPU.
Question 1,201 of 1,616
Auto Scaling Elastic Beanstalk Based on Average CPU Utilization
This DVA-C02 practice question tests your understanding of development with aws services. 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 developer is using AWS Elastic Beanstalk to deploy a web application. The application experiences high latency during peak hours. The developer wants to scale the application automatically based on CPU utilization. Which configuration should the developer use?
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 an Auto Scaling simple scaling policy based on Average CPU Utilization > 70% for scale-out and < 30% for scale-in.
Option C is correct because AWS Elastic Beanstalk integrates with Auto Scaling to automatically adjust the number of EC2 instances based on a simple scaling policy that uses the Average CPU Utilization metric. By setting a scale-out threshold at >70% and a scale-in threshold at <30%, the application can dynamically handle peak-hour traffic while reducing costs during low usage. This directly addresses the developer's requirement to scale based on CPU utilization.
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 an Auto Scaling step scaling policy based on MemoryReservation metric.
Why it's wrong here
MemoryReservation is not a standard metric for CPU-based scaling.
- ✗
Use AWS CloudFront to cache responses and reduce load on the application.
Why it's wrong here
CloudFront caching does not automatically scale compute resources.
- ✓
Configure an Auto Scaling simple scaling policy based on Average CPU Utilization > 70% for scale-out and < 30% for scale-in.
Why this is correct
Correct approach using CPU utilization thresholds.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure an Auto Scaling target tracking policy based on NetworkIn metric.
Why it's wrong here
NetworkIn is not CPU utilization; does not address latency caused by CPU.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the metric used for scaling (CPU utilization) with other metrics like MemoryReservation or NetworkIn, or assume that caching solutions like CloudFront can replace the need for compute scaling, when the question explicitly requires scaling based on CPU utilization.
Detailed technical explanation
How to think about this question
Under the hood, Elastic Beanstalk uses CloudWatch alarms to monitor the Average CPU Utilization metric across the Auto Scaling group. A simple scaling policy triggers a scale-out action when the alarm breaches the 70% threshold for a specified number of consecutive periods (e.g., 5 minutes), and a scale-in action when it drops below 30%. This cooldown period prevents rapid oscillations, but note that simple scaling does not support dynamic adjustments like step scaling, which can add or remove instances in increments based on the magnitude of the breach.
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.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure an Auto Scaling simple scaling policy based on Average CPU Utilization > 70% for scale-out and < 30% for scale-in. — Option C is correct because AWS Elastic Beanstalk integrates with Auto Scaling to automatically adjust the number of EC2 instances based on a simple scaling policy that uses the Average CPU Utilization metric. By setting a scale-out threshold at >70% and a scale-in threshold at <30%, the application can dynamically handle peak-hour traffic while reducing costs during low usage. This directly addresses the developer's requirement to scale based on CPU utilization.
What should I do if I get this DVA-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
This DVA-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DVA-C02 exam.
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