The correct answer is to configure autoscale rules on the App Service plan to scale out and in based on CPU usage. This is because Azure App Service autoscale rules allow you to automatically increase instance counts during high demand and decrease them during low usage, using metrics like CPU percentage as a trigger. On the Standard tier and above, autoscale is applied at the App Service plan level—not the web app itself—making it the precise mechanism to handle fluctuating traffic without manual intervention. For the AZ-204 exam, this scenario tests your understanding that scaling is a plan-level configuration, and a common trap is trying to set scaling directly on the web app resource. Remember the key distinction: autoscale rules live on the plan, not the app. A helpful memory tip is “Plan for scale, app for code”—the plan manages the compute resources, while the app just runs your code.
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. 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.
Your company has an Azure App Service web app that runs on a Standard App Service plan. You need to scale out the app to handle increased traffic during business hours and scale in during off-hours. What should you configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure autoscale rules on the App Service plan to scale out and in based on CPU usage.
Option A is correct because Azure App Service autoscale rules allow you to automatically scale out (increase instance count) and scale in (decrease instance count) based on metrics like CPU usage. This meets the requirement to handle increased traffic during business hours and reduce costs during off-hours without manual intervention. Autoscale is configured at the App Service plan level, not the web app itself, and works with the Standard tier and above.
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 autoscale rules on the App Service plan to scale out and in based on CPU usage.
Why this is correct
Autoscale can adjust instance count automatically based on metrics or schedule.
Related concept
Read the scenario before looking for a memorised answer.
✗
Manually increase the instance count during business hours.
Why it's wrong here
Manual scaling is not automated.
✗
Scale up the App Service plan to a Premium plan.
Why it's wrong here
Scaling up increases resources per instance, not the number of instances.
✗
Use Azure Traffic Manager to distribute load.
Why it's wrong here
Traffic Manager distributes traffic across endpoints, but does not scale the app service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing 'scaling up' (increasing the plan tier or instance size) with 'scaling out' (increasing the number of instances), and assuming that manual scaling or Traffic Manager can achieve automatic scaling based on load.
Detailed technical explanation
How to think about this question
Autoscale in Azure App Service uses Azure Monitor metrics (e.g., CPU percentage, memory percentage, HTTP queue length) to trigger scale actions based on rules you define. The scale action modifies the instance count of the App Service plan, which is the unit of scaling for all apps in that plan. A common subtlety is that autoscale has a cool-down period (default 5 minutes) to prevent flapping, and you can set multiple rules with different thresholds for scale-out and scale-in to match business hours precisely.
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: Configure autoscale rules on the App Service plan to scale out and in based on CPU usage. — Option A is correct because Azure App Service autoscale rules allow you to automatically scale out (increase instance count) and scale in (decrease instance count) based on metrics like CPU usage. This meets the requirement to handle increased traffic during business hours and reduce costs during off-hours without manual intervention. Autoscale is configured at the App Service plan level, not the web app itself, and works with the Standard tier and above.
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.
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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