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AZ-204 · Question #491

Drag and Drop Question You develop and deploy a Java application to Azure. The application has been instrumented by using the Application Insights SDK. The telemetry data must be enriched and…

The correct answer is Sampling; Telemetry initializer; Telemetry processor. The correct features map to specific requirements: Sampling reduces the volume of telemetry by sending only a representative subset of data, making it useful for controlling data volume before transmission. Telemetry Initializers enrich telemetry by adding or modifying…

Submitted by rohit_dlh· Mar 30, 2026Monitor, troubleshoot, and optimize Azure solutions - specifically implementing Application Insights telemetry customization using initializers, processors, and sampling to enrich and filter telemetry data before transmission.

Question

Drag and Drop Question You develop and deploy a Java application to Azure. The application has been instrumented by using the Application Insights SDK. The telemetry data must be enriched and processed before it is sent to the Application Insights service. You need to modify the telemetry data. Which Application Insights SDK features should you use? To answer, drag the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Answer:

Exhibit

AZ-204 question #491 exhibit

Answer Area

Drag items

SamplingTelemetry initializerTelemetry processorTelemetry channel

Correct arrangement

  • Sampling
  • Telemetry initializer
  • Telemetry processor

Explanation

The correct features map to specific requirements: Sampling reduces the volume of telemetry by sending only a representative subset of data, making it useful for controlling data volume before transmission. Telemetry Initializers enrich telemetry by adding or modifying properties on telemetry items (e.g., adding custom dimensions), fulfilling the 'enrichment' requirement. Telemetry Processors allow you to filter or transform telemetry items in a pipeline before they are sent, fulfilling the 'processing' requirement - they can inspect, modify, or discard telemetry items. Telemetry Channel is not needed here because it handles the transmission/buffering mechanism of sending data to Application Insights, not enrichment or processing of the data itself.

Topics

#Application Insights#Telemetry Processing#Azure Monitoring#Java SDK Instrumentation

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