The answer is to configure an auto scaling group with a scaling policy based on average CPU utilization. This approach is correct because it directly ties the number of running instances to real-time demand, using CloudWatch metrics to trigger a scale-out event when average CPU exceeds a defined threshold—typically 70%—and a scale-in event when it drops, ensuring the application remains responsive while minimizing costs during low usage. On the CompTIA Cloud+ CV0-004 exam, this scenario tests your understanding of dynamic scaling policies versus scheduled or manual scaling; a common trap is choosing a static instance count or a simple health-check replacement policy, which does not adjust for fluctuating load. Remember the memory tip: “CPU climbs, scale out; CPU dives, scale in”—the average is key to avoiding flapping.
CV0-004 Operations and Support Practice Question
This CV0-004 practice question tests your understanding of operations and support. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 cloud administrator needs to deploy a web application in a public cloud. The application must automatically scale out based on CPU utilization and scale in during low demand. Which of the following is the BEST approach?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 group with a scaling policy based on average CPU utilization
An auto scaling group with a scaling policy based on average CPU utilization is the best approach because it dynamically adjusts the number of instances in response to real-time demand. This method uses CloudWatch metrics to trigger scale-out when CPU exceeds a threshold (e.g., 70%) and scale-in when it drops, ensuring the application remains responsive while minimizing cost during low usage.
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 group with a scaling policy based on average CPU utilization
Why this is correct
Auto scaling with CPU metric provides automated horizontal scaling.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a script to increase the instance size when CPU exceeds 80%
Why it's wrong here
Vertical scaling is less elastic and not best practice for web apps.
✗
Implement scheduled scaling to add instances during business hours
Why it's wrong here
Scheduled scaling is proactive, not reactive to CPU.
✗
Create a load balancer and manually add instances during peak hours
Why it's wrong here
Manual scaling is not automated.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the distinction between horizontal scaling (adding/removing instances) and vertical scaling (resizing instances), where candidates mistakenly choose vertical scaling (Option B) because it seems simpler, but it does not provide the elasticity required for cloud-native applications.
Detailed technical explanation
How to think about this question
Auto scaling groups rely on a launch template or configuration to define instance specifications, and scaling policies evaluate CloudWatch alarms over a specified period (e.g., 5 minutes) to avoid flapping. The cooldown period (default 300 seconds) prevents rapid scaling actions, and the group can use a target tracking policy that automatically adjusts the number of instances to maintain a target average CPU, such as 50%, without manual threshold tuning.
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 practitioner preparing for the CV0-004 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
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.
Operations and Support — This question tests Operations and Support — 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 group with a scaling policy based on average CPU utilization — An auto scaling group with a scaling policy based on average CPU utilization is the best approach because it dynamically adjusts the number of instances in response to real-time demand. This method uses CloudWatch metrics to trigger scale-out when CPU exceeds a threshold (e.g., 70%) and scale-in when it drops, ensuring the application remains responsive while minimizing cost during low usage.
What should I do if I get this CV0-004 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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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