AB-100: Agentic AI Business Solutions Architect › Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect › Question #26660
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Q

A company has a customer service agent that calls an Azure OpenAI model and sends traces to Azure Monitor Application Insights.

After a recent release, average response latency and monitoring costs have increased. Telemetry shows higher token usage per request and a large increase in ingested trace data.

You need to reduce monitoring costs, while retaining enough telemetry to analyze token usage and latency trends.

What should you do?

ID: #26660 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 3 views
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#26660Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic
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  • A Switch the model deployment to a developer tier. ✔ ✖
  • B Disable tracing and rely only on Microsoft Cost Management. ✔ ✖
  • C Increase the model context window to reduce the logging volume. ✔ ✖
  • D Configure sampling and retention policies in Application Insights. ✔ ✖
Correct Answer

Explanation

Objective:

3.1 Analyze, monitor, and tune AI-powered business solutions

What This Item Tests:

Interpret telemetry data for performance and model tuning

Additional Reading:

Understand ongoing non-infrastructure costs of AI agents

Explore how to monitor with Azure

Rationale:

Configuring sampling and retention policies reduces the telemetry ingestion volume and costs, while preserving sufficient data to analyze trends in token usage and latency. Disabling tracing removes critical observability, increasing the context size increases token and cost pressure, and changing deployment tiers does not address data ingestion monitoring.

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