Microsoft DevOps Engineer Expert AZ-400 Practice Question
You manage an Azure Kubernetes Service (AKS) cluster that hosts production microservices. The operations team must collect node and pod CPU/memory metrics and container stdout/stderr logs in a central Log Analytics workspace that already exists in your subscription. You want to accomplish this with the least manual configuration on individual cluster nodes. Which action should you perform?
Create an Application Insights resource and set the APPINSIGHTS_INSTRUMENTATIONKEY environment variable in each deployment.
Enable the Container monitoring add-on for the AKS cluster and link it to the existing Log Analytics workspace.
Deploy the Azure Monitor agent manually on each AKS node by applying the OMSAgent DaemonSet manifest.
Add the Azure Monitor OpenTelemetry exporter library to every container image and configure it to point at the workspace.
Container Insights is the recommended way to collect performance metrics and container logs from AKS. Enabling the monitoring add-on (also called Container Insights onboarding) automatically deploys the Azure Monitor agent as a DaemonSet in every node and streams the data to the Log Analytics workspace you specify. Manually installing the agent, adding OpenTelemetry exporters, or instrumenting Application Insights in each workload is unnecessary for cluster-level monitoring data, and none of those actions alone link the cluster to the workspace.
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What is the Container monitoring add-on in AKS?
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What is a DaemonSet in Kubernetes?
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What is a Log Analytics workspace?
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What is the Container monitoring add-on in AKS?
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What is the role of a Log Analytics workspace in AKS monitoring?
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What is a DaemonSet, and why is it used in AKS monitoring?
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Microsoft DevOps Engineer Expert AZ-400
Implement an instrumentation strategy
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