AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
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?
⚠ Common exam trap
Watch out — 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.
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.
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
Azure Monitor allows configuring metric alerts based on telemetry collected from Azure Function Apps, often integrated with Application Insights. A metric alert on "Exceptions" can detect an abnormal increase in processing failures, indicating a problem with the function's execution logic or external dependencies. When triggered, this alert can activate an action group to perform automated remediation, such as restarting the function app host to clear transient issues and restore normal operation.
- ✗
Application Insights availability tests.
Why it's wrong here
Application Insights availability tests are designed to periodically send HTTP requests to a public endpoint to assess its uptime and responsiveness from various geographical locations. While useful for monitoring HTTP-triggered functions or web apps, they are fundamentally unsuitable for monitoring the internal processing of messages from a queue or event source, as they do not interact with the function's internal message processing pipeline or detect application-level exceptions during event handling.
- ✗
Azure Service Health alerts.
Why it's wrong here
Azure Service Health provides personalized alerts and guidance on Azure service issues, planned maintenance, and health advisories that affect your subscriptions and resources. These alerts focus on the underlying Azure platform's availability and performance, not on application-specific failures or exceptions occurring within an individual Azure Function App's code or its processing of messages. Therefore, they cannot detect or respond to application-level errors.
- ✗
Azure Advisor recommendations.
Why it's wrong here
Azure Advisor is a personalized cloud consultant that provides recommendations to optimize your Azure deployments for cost, security, reliability, operational excellence, and performance. It offers proactive suggestions based on best practices and usage patterns but does not provide real-time monitoring, generate alerts for active application failures, or facilitate automated actions like restarting a function app in response to runtime exceptions.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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