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29. Frage
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.
Antwort:
Begründung:
Explanation:
Copilot Studio # Use a Microsoft Power Platform deployment pipeline; Microsoft Foundry # Use an Azure DevOps pipeline
30. Frage
You are designing two Microsoft Copilot Studio agents named Agent1 and Agent2. Each agent must meet the following requirements:
Each agent must use a standard model.
Each agent must NOT use generative orchestration.
Agent1 must support simple and short phrases for a given topic.
Agent2 must integrate with Microsoft Dynamics 365 Contact Center voice channel.
You need to recommend language models for the agents.
What should you recommend for each agent?
Antwort:
Begründung:
Explanation:
Agent 1 = NLU
Agent 2 = NLU and NLU+
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-overview Agent1 must support simple and short phrases for a given topic. That is the classic use case for NLU in Copilot Studio. NLU is designed for standard intent recognition where users enter brief, predictable utterances tied to a topic.
This makes NLU the best fit for:
narrow topic triggering
short phrase matching
standard, non-generative agent behavior
Why Agent2 = NLU+
Agent2 must integrate with Microsoft Dynamics 365 Contact Center voice channel. For that scenario, NLU+ is the correct recommendation among the listed standard models.
NLU+ extends the standard NLU approach and is the model aligned to scenarios that need stronger language understanding support in more advanced enterprise channel integrations such as voice experiences. Since the requirement explicitly says:
use a standard model
do not use generative orchestration
NLU+ fits better than Azure OpenAI or other generative options.
31. Frage
You are designing a testing solution for Microsoft Copilot Studio agents.
You need to validate prompt engineering best practices to ensure that the agents generate accurate and contextually relevant responses. Which prompt validation techniques and metrics should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
To validate prompt engineering for Microsoft Copilot Studio agents , the goal is to confirm that the agent responds correctly even when users ask the same thing in different ways, and to measure whether the responses are actually useful and correct.
For the prompt validation technique , the correct choice is Use prompts that have varied phrasing . This is a core best practice because real users do not ask questions in one fixed form. They may use different wording, sentence structure, synonyms, or levels of detail. Testing with varied phrasing checks whether the prompt design is robust and whether the agent can still produce the right response across natural language variation.
For the metric , the correct choice is Response relevance and accuracy . Since the requirement is to ensure responses are accurate and contextually relevant , this is the most appropriate measure. It directly evaluates whether the output answers the user's need correctly and in the right context.
Why the other options are not correct:
* Exclude domain-specific terminology from the prompts is not a best practice in business AI solutions. In many enterprise scenarios, domain-specific terms are essential for accuracy.
* Use only simple, one-word prompts does not reflect real-world usage and would weaken testing coverage.
* The number of words generated per response does not tell you whether the response is correct or contextually appropriate.
* The response generation time is a performance metric, not the best metric for validating prompt quality.
32. Frage
A company processes invoices stored across multiple systems in multiple formats.
You need to implement an AI solution to automate the invoice processing. The solution must meet the following requirements:
- Automate multi-step invoice processing tasks, including document
analysis, data validation, and approval routing.
- Enable users to interact directly via Microsoft Teams to review and
approve invoices.
- Minimize development efforts to define and customize approval
workflows.
What should you include in the solution?
Antwort: A
Begründung:
To automate invoice processing using Microsoft Copilot Studio and AI Builder, you can build an
"Intelligent Invoicing Agent" that serves as the central orchestration layer. This solution combines AI-driven data extraction with low-code approval workflows accessible directly within Microsoft Teams.
Solution Architecture
The most efficient approach uses Copilot Studio as the "brain" and AI Builder as the "eyes" to read documents.
Extraction Layer (AI Builder): Uses the Prebuilt Invoice Model to automatically identify and extract data like vendor name, date, and total amount without manual training.
Orchestration Layer (Copilot Studio): Hosts "Agent Flows" (advanced workflows) that manage the end-to-end logic, from receiving a file to routing it for approval.
Interaction Layer (Microsoft Teams): Users upload invoices or receive approval cards directly in a chat window, eliminating the need to switch between different accounting apps.
Reference:
https://marketplace.microsoft.com/en-us/marketplace/consulting-services/officelabsltd1628160181702.invoice_management_00
33. Frage
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.
Antwort:
Begründung:
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.
34. Frage
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