The answer is to enable autoscale to scale out based on a CPU threshold of 70%, with a maximum of 10 instances. This is correct because Azure App Service autoscale uses a metric-based rule to dynamically add instances when CPU usage exceeds the defined threshold, directly addressing the 95% CPU spikes that cause HTTP 503 errors. By setting a 70% threshold, the system proactively scales out before performance degrades, and the maximum of 10 instances ensures cost efficiency by only provisioning resources during demand. On the AZ-204 exam, this scenario tests your understanding of autoscale conditions and the Standard tier’s native support for horizontal scaling—a common trap is choosing Premium v3 for reliability when autoscale alone solves the problem at lower cost. Remember the memory tip: “70% triggers, 10 max, no manual acts.”
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. 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.
Your organization runs a critical e-commerce application on Azure App Service. The application uses a Standard App Service plan with three instances. During a flash sale, traffic spikes cause some requests to fail with HTTP 503 errors. The operations team reports that the app's CPU usage reaches 95% during spikes. You need to ensure the application remains responsive without manual intervention. The solution must minimize cost while handling unpredictable traffic patterns. You evaluate the following options: A) Enable autoscale to scale out based on CPU usage threshold of 70%, with a maximum of 10 instances. B) Change the App Service plan to Premium v3 and enable zone redundancy. C) Implement a queue-based load leveling pattern using Azure Queue Storage and a background process. D) Use Azure Front Door with a Web Application Firewall (WAF) policy to distribute traffic. Which option should you recommend?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable autoscale to scale out based on CPU usage threshold of 70%, with a maximum of 10 instances.
Option B is correct because enabling autoscale on the Standard App Service plan allows the application to automatically scale out from 3 to up to 10 instances when CPU exceeds 70%, handling traffic spikes without manual intervention. This minimizes cost by only adding instances when needed, and the Standard plan supports autoscale natively, making it the most cost-effective solution for unpredictable traffic patterns.
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.
✗
Use Azure Front Door with a Web Application Firewall (WAF) policy to distribute traffic.
Why it's wrong here
Does not increase compute capacity.
✓
Enable autoscale to scale out based on CPU usage threshold of 70%, with a maximum of 10 instances.
Why this is correct
Autoscale handles spikes cost-effectively.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Implement a queue-based load leveling pattern using Azure Queue Storage and a background process.
Why it's wrong here
Adds latency and complexity, not immediate scaling.
✗
Change the App Service plan to Premium v3 and enable zone redundancy.
Why it's wrong here
Does not auto-scale; costly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse traffic distribution solutions (like Azure Front Door) with scaling solutions, or assume that upgrading the plan is necessary for high availability, when autoscale on the existing Standard plan is the most cost-effective and direct fix for CPU-driven 503 errors.
Detailed technical explanation
How to think about this question
Autoscale in Azure App Service uses Azure Monitor metrics (e.g., CPU percentage) to trigger scale-out operations, with a cooldown period (default 5-10 minutes) to prevent flapping. The Standard plan supports up to 30 instances, so a maximum of 10 is well within limits. Under the hood, autoscale adds instances to the App Service plan's front-end pool, distributing incoming HTTP requests via the built-in load balancer, which directly reduces per-instance CPU load.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable autoscale to scale out based on CPU usage threshold of 70%, with a maximum of 10 instances. — Option B is correct because enabling autoscale on the Standard App Service plan allows the application to automatically scale out from 3 to up to 10 instances when CPU exceeds 70%, handling traffic spikes without manual intervention. This minimizes cost by only adding instances when needed, and the Standard plan supports autoscale natively, making it the most cost-effective solution for unpredictable traffic patterns.
What should I do if I get this AZ-204 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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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