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AB-100ガイドトレントの3つの異なるバージョンの中で最も普及しているのはPDFバージョンであり、Microsoftは特に適切であり、若者に歓迎されていることは間違いありません。このバージョンにはいくつかの機能があります。まず、AB-100準備ガイドのPDFバージョンを紙に印刷できます。ただし、メモを作成して重要な試験ポイントを強調することができます。前述のように、AB-100試験トレントサポート無料のデモダウンロードに加えて、AB-100準備ガイドを十分に理解し、適切で満足できる場合は購入することが理想的です。
質問 # 47
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.
正解：
解説：
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.
質問 # 48
Which framework should you use to meet the AI agent requirements for the sales cycle enablement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
For Microsoft Copilot Studio best practices:
# Microsoft Power Platform WellArchitected Framework
Why?
Copilot Studio is part of the Power Platform.
Microsoft's official guidance for building scalable, secure, compliant Power Platform solutions is the Power Platform WellArchitected Framework.
It includes governance, security, reliability, operational excellence, and cost optimization-exactly what Fabrikam needs for AI agent deployment, telemetry, compliance, and ROI.
For conversational user experiences:
# Success by Design
Why?
Success by Design is Microsoft's methodology for implementing Dynamics 365 and Power Platform solutions.
It includes conversational design checklists, solution blueprinting, risk assessments, and useradoption strategies.
Fabrikam's scenario emphasizes:
User adoption
Conversational UX quality
Escalation paths
Compliance
Telemetry
These are all covered in Success by Design's structured implementation approach.
https://learn.microsoft.com/en-ca/power-platform/well-architected/experience-optimization/conversation-design
Topic 1 : Fabrikam, Inc 2
Topic 2 : Contoso. LtdOverview 8
Topic 3 : Standalone Questions 95
TOTAL 105
Topic 1, Fabrikam, Inc
Background -Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the current on-premises proprietary technologies used by its business-to-business (B2B) sales team.As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and implement AI solutions, wherever possible, to streamline operations.Problem Statements -Fabrikam ' s infrastructure currently relies on various on-premises systems that require sales executives to use corporate computers with physical keyboards to access business information during customer interactions. Mobile phones cannot be used for these purposes, as the systems depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to search for data on several disparate systems and file servers, rather than focusing on the customers. This affects the customer experience.Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives -General -Fabrikam management has prioritized AI-driven projects to improve efficiency, customer engagement, and responsible AI adoption. The current application infrastructure is on-premises and must be migrated to the cloud to support the adoption of these technologies.Infrastructure Migration - Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based topology; this will include user authentication, the security framework, and, primarily, the adoption of the services by end users.All the data from the different systems will be consolidated into a single data source - a common data model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales team.Sales Cycle Enablement -To achieve the company ' s objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:Use low-code development to create a single AI agent that has Dataverse as its core component.Ensure that sales managers can access unanswered correspondence from prospects and intervene as appropriate.Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and customer interactions.Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects.Have the sales executives use handsfree headsets to interact with an AI agent when they have questions about internal policies or customer data.Requirements -Infrastructure Migration -Fabrikam has identified the following infrastructure migration requirements:Azure must be used for all future infrastructure workloads.The company must follow Microsoft-recommended methodologies for infrastructure migration to the cloud.Any created AI agents must have their return on investment (ROI) calculated to ensure that the solution will save the company money.
Sales Cycle Enablement -Fabrikam has identified the following requirements for sales cycle enablement:The final AI agent must follow Microsoft recommendations for a conversational user experience.A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment recommendations for a compliant solution.Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize the agent during the initial AI agent adoption process.Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales executive must be rerouted to a representative if the agent cannot answer a question after two failed attempts.The return on investment (ROI) of switching from the current process to the future process is required for stakeholder sign off.The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and efficiently than currently.Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a monthly basis.Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for future auditing.
質問 # 49
A company uses Microsoft Foundry agents.
You need to ensure that an agent can dynamically use external tools at runtime without updating the agent.
What should you include in the solution?
正解：B
解説：
The correct answer is A. a Model Context Protocol (MCP) server .
In Microsoft Foundry agent scenarios, MCP is used to let an agent discover and use external tools dynamically at runtime without requiring the agent itself to be modified each time a new tool or capability is added.
Why this is correct:
* MCP standardizes how tools are exposed to agents
* It allows the agent to connect to external capabilities in a flexible, runtime-driven way
* New tools can be made available through the MCP server without rebuilding or updating the core agent definition This directly matches the requirement:
"ensure that an agent can dynamically use external tools at runtime without updating the agent." Why the other options are not correct:
* B. a Microsoft Foundry hub A hub is used more for organizing and managing AI resources/projects, not specifically for dynamic runtime tool exposure.
* C. Microsoft Copilot Studio Copilot Studio is for building conversational agents and workflows, but the question is specifically about dynamic external tool use in Foundry agents .
* D. Azure AI Search Azure AI Search is for indexing and retrieving knowledge, not for dynamically exposing executable external tools.
質問 # 50
Hotspot Question
A company has a Microsoft Copilot Studio agent for customer support. You are reviewing and validating the following prompts:
- A prompt that has instructions to";help the customer as best you ca";
- A prompt that helps retrieve product information from a knowledge
base
You need to ensure that the agent delivers consistent and accurate responses.
What should you do for each prompt? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 51
You use Microsoft Copilot Studio analytics to analyze the performance of a deployed Copilot Studio agent.
You need to identify which performance metrics to use to measure the following:
* The percentage of engaged sessions that are escalated to a live customer service representative
* The number of agent queries that cause a knowledge source error
What should you identify for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
In Microsoft Copilot Studio analytics , each metric is designed to measure a different aspect of agent performance.
For the first requirement, the metric that tracks the percentage of engaged sessions escalated to a live customer service representative is Escalation rate . This directly measures how often conversations are handed off from the agent to a human.
For the second requirement, the metric that helps identify queries causing a knowledge source error is Answer quality . This area evaluates how well the agent responds and includes issues related to grounded answers, failed responses, and knowledge-source-related problems.
Why the other options are not correct:
* Customer Satisfaction (CSAT) score measures user satisfaction, not escalation percentage or knowledge source errors.
* Engagement rate measures whether users actively interact with the agent, not whether sessions are escalated or whether a knowledge source failed.
質問 # 52
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