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NEW QUESTION # 56
A company uses Microsoft 365 and Dynamics 365
You need to recommend a solution lo automatically summarize email threads, generate suggested replies in Microsoft Outlook and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend a classic Microsoft Dataverse workflow.
Does this meet the goal?
Answer: A
NEW QUESTION # 57
A company plans to implement an AI solution that will contain a Microsoft Copilot Studio agent and a Microsoft Foundry agent. The solution will be stored in a source code repository.
You need to recommend a deployment method for each agent. The solution must meet the following requirements:
A test environment must be used before a deployment to production.
Production must be isolated from development and testing.
The deployment must be repeatable and fully automated.
The solution must NOT require manual intervention.
Which deployment method should you recommend for each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Copilot Studio # Use a Microsoft Power Platform deployment pipeline; Microsoft Foundry # Use an Azure DevOps pipeline
NEW QUESTION # 58
You need to design a multi-agent solution that will include a custom agent. The solution must meet the following requirements:
* Define the ruin and constraints that the agent mutt follow.
* Automate a backend process that involves data movement between services and runs independently of the agent s reasoning steps.
What should you include in the design for each requirement ' To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
In Microsoft Copilot Studio, conversation topics define controlled conversational paths for an agent. A topic consists of nodes that determine how the interaction proceeds, including conditions, questions, messages, branching, and other deterministic logic. Microsoft specifically describes a topic as defining how an agent conversation progresses , making it the appropriate choice among the available options when specific rules or constrained behavior must be enforced.
A Microsoft Power Automate cloud flow is appropriate for the second requirement because the process involves backend automation and movement of data between services and must execute independently of the agent ' s reasoning. Power Automate cloud flows provide workflow automation using connectors, triggers, and actions and can operate independently rather than being selected dynamically as part of the agent ' s orchestration. Microsoft also distinguishes cloud flows that run independently from agent flows that can be attached to an agent as tools.
NEW QUESTION # 59
A company has a Microsoft Foundry agent that summarizes customer feedback and recommends products to customers. The agent references data from multiple knowledge sources.
Users report that the agent response time is slow.
Telemetry data shows that the agent frequently reaches its token usage limit You need to recommend a solution to reduce token usage without degrading the quality of the generated responses.
What should you recommend?
Answer: A
Explanation:
The problem is not just that the agent is slow. The telemetry specifically says it frequently reaches its token usage limit. That means too much content is being pulled into the prompt or context window before the model generates the answer.
The best recommendation is D. Reconfigure the prompts to limit the amount of retrieved content from the knowledge sources.
Why D is correct:
It directly targets the root cause: too many tokens from retrieved context It reduces unnecessary context while still keeping the most relevant information It helps preserve response quality better than simply cutting capabilities or hard-limiting output size Why the other options are less suitable:
A). Chunk documents during indexing can improve retrieval quality in some RAG scenarios, but it does not directly guarantee lower total retrieved token volume in the final prompt B). Lower the maximum token usage limit for the responses may reduce output length, but it does not solve excessive input-context usage and can hurt response quality C). Reduce the number of knowledge sources used by the agent is too blunt and may remove useful grounding unnecessarily
NEW QUESTION # 60
A company plans to deploy a Microsoft Foundry agent.
You need to recommend an application lifecycle management (ALM) process to ensure that the agent evaluates against baseline accuracy metrics before being deployed.
What should you recommend?
Answer: B
Explanation:
To implement an Application Lifecycle Management (ALM) process for Microsoft Foundry agent deployment, you must integrate Foundry Control Plane Observability into your CI/CD pipeline.
This ensures the agent is validated against baseline metrics before reaching production and monitored for drift thereafter.
Pre-Deployment: Baseline Evaluation
Before a new agent version is deployed, it must pass a rigorous evaluation stage within your ALM pipeline to prevent performance regressions.
Post-Deployment: Drift & Continuous Monitoring
Once deployed, the agent's performance must be continuously validated against the pre- deployment baseline using Observability in the Control Plane.
Continuous Evaluation: Configure the Control Plane to sample live production traffic and run the same evaluators used during development.
Drift Detection: Monitor for changes in Quality Scores and Accuracy Metrics over time. Significant drops indicate "drift," where real-world usage differs from your training/testing assumptions.
Unified Dashboard: Use the Foundry Monitoring Dashboard to visualize trends in latency, token usage, and accuracy side-by-side.
Alerting: Set up Azure Monitor alerts to notify developers immediately if evaluation scores fall below the established baseline.
Reference:
https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/building-production-ready-secure-observable-ai-agents-with-real-time-voice-with-/4501074
NEW QUESTION # 61
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