- A
Azure Monitor alerts with a metric alert on exception count.
A metric alert on exception count can trigger an action group that restarts the function app, providing automated recovery.
- B
Application Insights availability tests.
Why wrong: Availability tests ping HTTP endpoints; they are not suitable for monitoring event processing or restarting a function host.
- C
Azure Service Health alerts.
Why wrong: Service Health alerts notify about Azure service outages, not application-level failures in individual functions.
- D
Azure Advisor recommendations.
Why wrong: Advisor provides best practice recommendations but does not generate alerts or perform automatic restarts.
Quick Answer
The answer is Azure Monitor metric alerts on exception count. This is correct because Azure Monitor can track the 'Exceptions' metric emitted by an Azure Function app, and when that metric breaches a defined threshold, the alert triggers an action group. That action group can include an auto-remediation step—such as a webhook to restart the function host or an Azure Automation runbook—directly fulfilling the requirement to both alert on exceptions and auto-restart. On the AZ-204 exam, this scenario tests your understanding of how to pair metric alerts with action groups for automated recovery, often appearing as a distractor against Application Insights or Azure Functions scale controllers. A common trap is choosing "Azure Functions runtime scaling" or "Event Hub checkpointing," which handle throughput, not failure remediation. Memory tip: think "metric alert + action group = alert and fix," where the exception count metric is your trigger and the restart is your automated response.
AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
This AZ-204 practice question tests your understanding of monitor, troubleshoot, and optimize azure solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
You are monitoring an Azure Function app that processes messages from an Event Hub. You want to be alerted if the function is failing to process messages (e.g., exceptions) and automatically restart the function host. Which Azure service should you 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
Azure Monitor alerts with a metric alert on exception count.
Azure Monitor metric alerts on exception count can trigger when the function app throws exceptions during message processing. By configuring an alert rule that fires on the 'Exceptions' metric, you can then set up an action group that includes an auto-remediation step, such as restarting the function app host via a webhook or Azure Automation runbook. This directly addresses the requirement to be alerted and automatically restart the host.
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.
- ✓
Azure Monitor alerts with a metric alert on exception count.
Why this is correct
A metric alert on exception count can trigger an action group that restarts the function app, providing automated recovery.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Application Insights availability tests.
Why it's wrong here
Availability tests ping HTTP endpoints; they are not suitable for monitoring event processing or restarting a function host.
- ✗
Azure Service Health alerts.
Why it's wrong here
Service Health alerts notify about Azure service outages, not application-level failures in individual functions.
- ✗
Azure Advisor recommendations.
Why it's wrong here
Advisor provides best practice recommendations but does not generate alerts or perform automatic restarts.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Application Insights availability tests (which only check HTTP endpoint availability) with the need to monitor internal function exceptions, or they mistakenly think Azure Service Health alerts cover application-level errors instead of Azure platform issues.
Detailed technical explanation
How to think about this question
Azure Monitor aggregates the 'Exceptions' metric from the Azure Functions runtime, which counts unhandled exceptions thrown by the function code. When you create a metric alert on this counter with a threshold (e.g., >0 for 5 minutes), the alert can trigger an action group that calls a webhook or an Azure Automation runbook to restart the function app via the Azure Resource Manager REST API (e.g., POST /subscriptions/{subscriptionId}/resourceGroups/{rg}/providers/Microsoft.Web/sites/{functionAppName}/restart). This ensures the host process is recycled, clearing transient state and potentially recovering from a stuck or degraded state.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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.
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Monitor, troubleshoot, and optimize Azure solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AZ-204 question test?
Monitor, troubleshoot, and optimize Azure solutions — This question tests Monitor, troubleshoot, and optimize Azure solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Monitor alerts with a metric alert on exception count. — Azure Monitor metric alerts on exception count can trigger when the function app throws exceptions during message processing. By configuring an alert rule that fires on the 'Exceptions' metric, you can then set up an action group that includes an auto-remediation step, such as restarting the function app host via a webhook or Azure Automation runbook. This directly addresses the requirement to be alerted and automatically restart the host.
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.
About these practice questions
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Last reviewed: Jun 11, 2026
This AZ-204 practice question is part of Courseiva's free Microsoft 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 AZ-204 exam.
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