AB-100資格トレーリング、AB-100資格難易度

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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
  • AIを活用したビジネスソリューションの導入：本番環境におけるAIソリューションの導入、テスト、監視、最適化に重点を置きます。また、ALMプロセスの管理、パフォーマンス監視、セキュリティ、ガバナンス、責任あるAIコンプライアンスの確保も含まれます。
トピック 2
  • AIを活用したビジネスソリューションの計画：ビジネス要件の分析と、AIエージェントや生成型AIがプロセスを改善できる箇所の特定に重点を置きます。また、AI戦略の策定、投資対効果（ROI）の評価、AIコンポーネントの構築、購入、拡張のいずれを選択するかの決定も含まれます。
トピック 3
  • AIを活用したビジネスソリューションの設計：Copilot Studio、Microsoft Foundry、Dynamics 365などのプラットフォームを使用して、AIエージェント、Copilot統合、インテリジェントワークフローを設計する方法を解説します。プランニングプロンプト、コネクタ、エージェントの動作、ソリューションの拡張性についても説明します。

>> AB-100資格トレーリング <<

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Microsoft Agentic AI Business Solutions Architect 認定 AB-100 試験問題 (Q37-Q42):

質問 # 37
A company uses Microsoft 365 and Dynamics 365.
You need to recommend a solution to 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 Microsoft 365 Copilot agent template.
Does this meet the goal?

正解：A


質問 # 38
You need to design an application lifecycle management (ALM) process for a Microsoft Power Platform environment that contains a solution named Solution1.
Solution1 must include a custom connector for Copilot in Microsoft Dynamics 365 Customer Service.
Solution1 must meet the following requirements:
- Ensure that the custom connector can be deployed consistently across
environments as part of the ALM process.
- Allow the custom connector to be edited only in the development
environment.
What should you include in the design?

正解：B

解説：
The requirements are classic Power Platform ALM requirements:
the custom connector must be deployed consistently across environments
it should be editable only in development
The correct design choice is to add the custom connector to Solution1.
Why B is correct:
Putting the custom connector inside the solution makes it part of the ALM package It can then be exported and imported consistently across environments In production, when deployed properly through managed solutions, it is not freely edited there, which supports the requirement that editing happens only in development


質問 # 39
A company has an Al solution named Solution1 that is deployed to the production environment. Solution!
uses an Azure OpenAI model to generate marketing emails for existing customers.
During an internal review, you identify that Solution1 creates different emails depending on the customers ' traits.
You need to recommend a strategy to mitigate the bias. The strategy must adhere to Microsoft responsible Al principles.
What should you recommend?

正解：B

解説：
The scenario describes a deployed AI solution using Azure OpenAI that exhibits bias (creating disparate outcomes based on customer traits). This directly impacts the Fairness principle of Microsoft ' s Responsible AI framework.
Why " Modify the system instructions " is the Correct Strategy:
* Direct Control via System Metaprompts: In large language model (LLM) applications like those powered by Azure OpenAI, the system instructions (or system message) define the behavior, constraints, and tone of the model. By modifying these instructions, you can explicitly direct the model to treat all customer segments equitably and ignore specific sensitive traits when drafting marketing content.
* Mitigation without Re-engineering: * Option B and D (Training/Retraining): Azure OpenAI models are foundation models. Most companies use them via API and do not have access to the original
" training dataset " to modify it. While fine-tuning is possible, it is significantly more expensive and complex than prompt engineering.
* Option C (Randomization): Randomization does not solve bias; it creates inconsistency and potentially irrelevant content, violating the Reliability and Safety principle.
* Alignment with Responsible AI: Microsoft ' s documentation on Fairness recommends " Instructional Mitigation. " This involves adding specific rules to the system prompt, such as: " You must ensure the tone and value proposition of the email remain consistent across all demographic groups " or " Do not use customer traits such as age or gender to influence the core marketing message. "


質問 # 40
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company has a team that analyzes its customers by using a manual process.
You are designing an AI-based agent to automate and improve the process.
You need to recommend on which platform to build the agent. The solution must meet the following requirements:
- Use generative AI to answer common questions.
- Provide analytics to review AI performance.
- Identify customer demographics.
- Minimize custom development.
Solution: You recommend GitHub Copilot.
Does this meet the goal?

正解：A

解説：
Correct:
* You recommend Microsoft Copilot Studio.
Copilot Studio is specifically designed to create customizable AI agents that automate business workflows with minimal coding.
Generative AI Answers: It uses "Generative Answers" to scan your specific data (websites, files, or SharePoint) to answer customer-related questions instantly.
Analytics Dashboard: It includes built-in analytics to track resolution rates, customer satisfaction (CSAT), and overall AI performance.
Customer Demographics: You can configure the agent to extract specific entities (like age, location, or industry) from conversations to build demographic profiles.' Low-Code/No-Code: It minimizes custom development by providing a visual interface to build logic, rather than writing raw code.
Incorrect:
* You recommend GitHub Copilot.
* You recommend Microsoft Security Copilot.
Reference:
https://www.phdata.io/blog/agentic-ais-and-introduction-to-copilot/


質問 # 41
A manufacturing company wants to deploy an agent that will automate supplier invoice processing.
You are designing a solution to evaluate the financial implications of the deployment. The company is especially concerned about budget overruns.
You need to ensure that the solution considers the total cost of ownership (TCO), the expected savings from using automation, and whether to extend the existing Al capabilities.
What should you include in the design?

正解：C


質問 # 42
......

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