You have an Azure App Service web app that experiences fluctuating traffic. During peak hours, the CPU usage reaches 90% and response times increase. You want to automatically scale out the number of instances when CPU usage exceeds 75% and scale in when it drops below 25%. The scaling should be gradual to avoid thrashing. Which configuration should you use?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
Distractor review
Enable 'Always On' and configure manual scale based on scheduled times.
'Always On' keeps the app loaded but does not scale automatically. Manual scale cannot adapt to real-time load fluctuations.
Best answer
Configure autoscale rules on the App Service plan scale-out setting, using CPU percentage as the metric with appropriate thresholds and cool-down periods.
This is the standard approach. In the Azure portal, under the App Service plan's 'Scale out' (App Service plan settings), you can add autoscale conditions with rules based on CPU percentage.
Distractor review
Use Azure Functions with the Consumption Plan to handle the web app logic.
Azure Functions is not a direct replacement for a web app. It is for event-driven, short-lived functions, not for hosting a full web application with a UI and state.
Distractor review
Deploy the web app to Azure Container Instances and use the scale-on-CPU feature.
Azure Container Instances does not have built-in autoscaling based on CPU. It's for single container deployments; scaling is manual or requires a container orchestrator like Kubernetes.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
Related practice questions
Related AZ-204 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
An application stores customer invoices in Azure Blob Storage. Deleted blobs must be recoverable for 14 days. What should be enabled?
Question 2
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Question 3
A developer needs to run a Kusto query against application request data to identify 95th percentile latency by operation. Where should the query be run? The architecture review board prefers a managed AWS-native control.
Question 4
You are developing a web app that authenticates users via Microsoft Entra ID. The app needs to read the user's profile and send emails on their behalf. You want to minimize user consent prompts. Which OAuth 2.0 grant type should you use?
Question 5
You are developing an Azure Function that processes messages from an Azure Service Bus queue. The function uses a Service Bus queue trigger and runs on a Consumption Plan. The queue receives a high volume of messages in bursts. You need to ensure that the function scales out to handle the load but does not exceed 10 concurrent instances. Which configuration should you apply?
Question 6
You are monitoring an Azure App Service using Application Insights. You notice that the server response time is high for certain requests. You need to drill down to see which external dependencies (like databases or APIs) are causing the delay. Which Application Insights feature should you use?
FAQ
Questions learners often ask
What does this AZ-204 question test?
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 scale-out setting, using CPU percentage as the metric with appropriate thresholds and cool-down periods. — Azure App Service supports autoscale based on metric thresholds (like CPU percentage). You can configure a scale-out rule to add an instance when CPU > 75% and a scale-in rule to remove an instance when CPU < 25%. The default cool-down periods help prevent rapid fluctuations.
What should I do if I get this AZ-204 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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