AB-100復習テキスト、AB-100復習時間

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Microsoft AB-100 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Plan AI-powered business solutions: Focuses on analyzing business requirements and identifying where AI agents and generative AI can improve processes. It also includes defining AI strategy, evaluating ROI, and deciding whether to build, buy, or extend AI components.
トピック 2
  • Design AI-powered business solutions: Covers designing AI agents, Copilot integrations, and intelligent workflows using platforms like Copilot Studio, Microsoft Foundry, and Dynamics 365. It includes planning prompts, connectors, agent behaviors, and solution extensibility.
トピック 3
  • Deploy AI-powered business solutions: Focuses on deploying, testing, monitoring, and optimizing AI solutions in production. It also includes managing ALM processes, performance monitoring, and ensuring security, governance, and responsible AI compliance.

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Microsoft Agentic AI Business Solutions Architect 認定 AB-100 試験問題 (Q43-Q48):

質問 # 43
A company has an Al agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent ' s output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?

正解：D

解説：
The requirement is to make sure the data ingested by the agent is clean and suitable for the intended use, which is producing monthly sentiment insights to guide product development and marketing.
The best answer is C. Identify and address biased data.
Why C is correct:
For sentiment analysis and reporting, biased data can distort conclusions and produce misleading recommendations Data preparation should include checking for skew, unfair representation, missing segments, and other quality issues that affect downstream decisions This aligns with responsible AI and sound analytics practice Why the other options are not correct:
A). Ensure that the size of the database does not exceed 100 GB is unrelated to data quality or suitability B). Translate the data into a single language might help in some implementations, but it is not universally required and is not the primary data-quality action here D). Sort the database by customer last name has no relevance to model readiness or report quality


質問 # 44
An enterprise has development, test, and production environments for its Copilot Studio agents. A new agent has been tested in the test environment and approved for production deployment. The agent includes custom topics, a knowledge source connected to SharePoint, and three custom connectors.
What is the correct ALM process to deploy this agent to production?

正解：C

解説：
Copilot Studio agents are managed through Power Platform solutions, which provide the standard ALM mechanism for moving components across environments. The correct process is to include the agent, its topics, connectors, and related components in a Power Platform solution, export it as a managed solution, and import it into the production environment. This approach maintains version control, enables rollback, and ensures consistent deployment.


質問 # 45
A company has a Microsoft Copilot Studio agent that has been in production for three months.
The agent has received positive feedback from users.
You need to identify the number of questions unanswered by the agent and the number of abandoned sessions between the users and the agent.
Which Copilot Studio insights should you use? To answer, drag the appropriate insights to the correct requirements. Each insight may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:
The number of unanswered questions # Generated answer rate and quality; The number of abandoned sessions # Conversation outcomes Why "Generated answer rate and quality" is correct The requirement is to identify the number of questions unanswered by the agent . In Copilot Studio, unanswered-question behavior is tied to how often the agent successfully generates answers and the quality of those answers.
The Generated answer rate and quality insight is the right place to evaluate whether the agent is:
* answering user questions
* failing to generate answers
* producing low-quality responses
* missing knowledge coverage
From an AI business solutions standpoint, unanswered questions are a direct signal of knowledge gaps, grounding gaps, or prompt-response weaknesses. This is exactly what generated answer analytics are meant to surface.
Why "Conversation outcomes" is correct
The requirement also asks for the number of abandoned sessions between users and the agent.
Abandonment is a conversation-level outcome , not a reaction or survey result. The Conversation outcomes insight tracks what happened to the interaction, such as whether the conversation was:
* resolved
* escalated
* abandoned
* otherwise completed unsuccessfully
That makes it the correct metric for identifying abandoned sessions.
Why the other insights are not correct
Reactions
Reactions capture signals like positive or negative user feedback, but they do not directly measure unanswered questions or abandoned sessions.
Survey results
Survey results reflect user satisfaction feedback after interactions, but they do not directly quantify unanswered questions or abandonment counts.


質問 # 46
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?

正解：B


質問 # 47
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：D

解説：
The correct answer is A.
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."


質問 # 48
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