20+ practice questions focused on Implement an instrumentation strategy — one of the most tested topics on the Microsoft Azure DevOps Engineer Expert AZ-400 exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Implement an instrumentation strategy PracticeYou have an Azure DevOps pipeline that deploys a web app to Azure App Service. You want to capture deployment frequency and change failure rate as metrics in Application Insights. Which built-in analytics view should you use?
Explanation: The Application Dashboard in Application Insights is a built-in analytics view that provides a customizable overview of your application's metrics. While it does not natively display deployment frequency or change failure rate, you can configure it with metric tiles to show these values if telemetry is properly instrumented. Option A is incorrect because 'Deployment Frequency' is a report in Azure DevOps Analytics, not a built-in view in Application Insights.
Which THREE of the following are valid techniques to reduce the volume of telemetry data sent to Application Insights while preserving diagnostic value?
Explanation: Fixed-rate sampling randomly selects a percentage of telemetry items to send, reducing volume predictably while preserving a representative sample for diagnostics. Adaptive sampling automatically adjusts the sampling rate based on telemetry volume, retaining a representative sample while responding to changes in load. Using ITelemetryProcessor filters allows you to programmatically discard low-importance telemetry before transmission, keeping high-value events for diagnostics. These techniques collectively reduce telemetry volume while preserving diagnostic value.
A team uses Azure Monitor to collect metrics from their Azure Kubernetes Service (AKS) cluster. They notice that container logs are missing from Log Analytics. The cluster was created with the default settings and no custom configuration was applied. What is the most likely reason for the missing logs?
Explanation: By default, an AKS cluster created with default settings does not have container logs (stdout/stderr) collected by Azure Monitor. Container logs require a Data Collection Rule (DCR) that includes the 'ContainerLog' table. Without this DCR, the Azure Monitor agent will not collect container logs, even though other metrics may be sent to Log Analytics.
A company runs a critical microservices application on Azure Kubernetes Service (AKS). They need to implement distributed tracing across services using Application Insights. Which three actions should be performed?
Explanation: Option B is correct because using the OpenTelemetry SDK with the Azure Monitor/Application Insights exporter is the modern, vendor-neutral way to emit distributed traces (spans with trace/span IDs and W3C traceparent propagation) from AKS workloads into Application Insights. Option C is correct because each microservice must be instrumented—via the Application Insights SDK or OpenTelemetry—so that inbound/outbound calls, dependencies, and correlation context are captured and stitched into end-to-end transactions. Option D is correct because all microservices must report to the same Application Insights resource (same instrumentation key/connection string) so that telemetry shares one correlation context and appears as a single distributed trace rather than fragmented per-service resources. Option A is not correct because the Application Insights agent is not deployed as a DaemonSet on AKS nodes; instrumentation happens in the application code or via auto-instrumentation, not a node-level agent. Option E is not correct because Container Insights collects cluster/node/pod metrics and logs (performance and health), not distributed tracing spans across microservices.
You are configuring Application Insights for a set of Azure Functions written in C# that run in the Consumption plan. The functions process messages from an Azure Service Bus queue. You need to correlate each function execution to the originating Service Bus message so that a distributed trace shows the full path from message enqueue to function completion. What should you configure?
Explanation: For end-to-end correlation across Service Bus, you need to create a custom operation in the function that uses the Service Bus message ID as the operation ID. This ties the function execution telemetry to the upstream message context, enabling Application Insights to display a unified distributed trace. Host-level integration alone does not correlate the message to the function run.
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Practice all Implement an instrumentation strategy questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Implement an instrumentation strategy. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Implement an instrumentation strategy questions on the AZ-400 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Implement an instrumentation strategy is tested as part of the Microsoft Azure DevOps Engineer Expert AZ-400 blueprint. Practicing with targeted Implement an instrumentation strategy questions ensures you can handle any format or difficulty that appears.
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