A business solution includes an AI agent that processes customer requests. The team needs to monitor the agent's performance and usage. Which tool is specifically designed for monitoring AI agents in Microsoft 365 and Power Platform environments?

Microsoft Copilot Studio analytics

An AI agent that generates code snippets is producing outputs that are syntactically correct but often use outdated library versions. Telemetry shows that the agent's responses are consistent but the 'currency' score is low. Which tuning action should the team take?

Update the knowledge base with current library versions and add few-shot examples that use them.

Increase the max_tokens to allow longer code snippets.

Decrease the temperature to make the model more deterministic.

Increase the temperature to encourage the model to try newer libraries.

What does the 'escalation rate' metric indicate about an AI agent's performance?

The time it takes for the agent to load

The number of times the agent is restarted

The percentage of interactions that are transferred to a human agent

The number of users who rate the agent negatively

A company has multiple AI agents deployed across different departments. Each agent uses different Azure services and has different performance metrics. The operations team wants a unified monitoring solution that can track all agents, provide cross-agent comparisons, and alert on anomalies. They have a limited budget and prefer to use built-in Azure capabilities. What should they do?

Use Azure Service Health to monitor all agents' health.

Use a single Application Insights resource for all agents and create a custom workbook that aggregates metrics across agents.

Use separate Application Insights resources for each agent and manually compare dashboards.

Use Azure Log Analytics workspaces with scheduled queries to generate daily reports.

A financial services firm's AI virtual assistant has a backlog of user-reported issues. The product owner wants to understand which features are used most and where users struggle. They have access to the assistant's interaction logs and a backlog of bug reports and feature requests. What should they do to gain this understanding?

Review the backlog only and ignore usage logs because the backlog already contains user feedback.

Conduct a survey of all users to ask which features they use most.

Prioritize the backlog items based on the number of internal developer comments.

Analyze the backlog to identify the most frequently reported issues and correlate them with usage patterns from interaction logs.

Microsoft Certified:Agentic AI Business Solutions Architect

Domain 3Objective 1

Analyze, Monitor, and Tune AI-powered Business Solutions AB-100 Practice Questions (Page 8)

Part of the Deploy AI-powered business solutions domain, which accounts for 40–45% of the AB-100 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~16–29 in this domain), expect 4–7 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)

49questions here

10free pages

8concepts

40–45%of the exam

Questions 36–40

36foundation · easy
A business solution includes an AI agent that processes customer requests. The team needs to monitor the agent's performance and usage. Which tool is specifically designed for monitoring AI agents in Microsoft 365 and Power Platform environments?
Select an answer first
37application · medium
An AI agent that generates code snippets is producing outputs that are syntactically correct but often use outdated library versions. Telemetry shows that the agent's responses are consistent but the 'currency' score is low. Which tuning action should the team take?
Select an answer first
38foundation · easy
What does the 'escalation rate' metric indicate about an AI agent's performance?
Select an answer first
39expert · hard
A company has multiple AI agents deployed across different departments. Each agent uses different Azure services and has different performance metrics. The operations team wants a unified monitoring solution that can track all agents, provide cross-agent comparisons, and alert on anomalies. They have a limited budget and prefer to use built-in Azure capabilities. What should they do?
Select an answer first
40application · medium
A financial services firm's AI virtual assistant has a backlog of user-reported issues. The product owner wants to understand which features are used most and where users struggle. They have access to the assistant's interaction logs and a backlog of bug reports and feature requests. What should they do to gain this understanding?
Select an answer first

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Analyze, Monitor, and Tune AI-powered Business Solutions AB-100 Practice Questions (Page 8)

Questions 36–40

A business solution includes an AI agent that processes customer requests. The team needs to monitor the agent's performance and usage. Which tool is specifically designed for monitoring AI agents in Microsoft 365 and Power Platform environments?

An AI agent that generates code snippets is producing outputs that are syntactically correct but often use outdated library versions. Telemetry shows that the agent's responses are consistent but the 'currency' score is low. Which tuning action should the team take?

What does the 'escalation rate' metric indicate about an AI agent's performance?

Keep studying — Deploy AI-powered business solutions