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AB-100日本語 PDF Practice Q&A's

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  • Total Questions: 109
  • Updated on: Nov 13, 2026
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Microsoft AB-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy AI-powered business solutions40–45%- Implement security, governance, compliance
  • 1. Enforce data residency and access controls
  • 2. Secure models, data, and workflows
  • 3. Adhere to responsible AI principles
  • 4. Audit trails and vulnerability management
- Design ALM processes
  • 1. Version control and release management
  • 2. ALM for agents, models, data, and configurations
- Monitor, analyze, and tune solutions
  • 1. Design monitoring and telemetry strategies
  • 2. Analyze usage, feedback, and performance metrics
  • 3. Optimize agent behavior and reliability
- Manage testing and validation
  • 1. Design end-to-end test scenarios
  • 2. Define test criteria for agents and models
  • 3. Validate prompt engineering best practices
Topic 2: Plan AI-powered business solutions25–30%- Evaluate costs and benefits
  • 1. Define ROI and total cost of ownership criteria
  • 2. Perform ROI analysis for proposed solutions
  • 3. Design model routing strategies
- Design overall AI strategy
  • 1. Design multi-agent solutions using Microsoft 365, Copilot Studio, Azure AI Foundry
  • 2. Establish responsible AI and governance guidelines
  • 3. Determine build vs buy vs extend decisions
  • 4. Apply Cloud Adoption Framework for AI
  • 5. Define architecture strategy for AI and agents
- Analyze requirements for AI-powered business solutions
  • 1. Assess agent use in automation, analytics, and decision-making
  • 2. Organize data for reuse across AI systems
  • 3. Evaluate data quality, relevance, and availability for grounding
Topic 3: Design AI-powered business solutions25–30%- Design AI and agents
  • 1. Integrate Azure AI services and OpenAI models
  • 2. Design topics, flows, and actions in Copilot Studio
  • 3. Build task, autonomous, and prompt-response agents
  • 4. Customize Copilot for Dynamics 365 applications
- Orchestrate configuration
  • 1. Set up Microsoft 365 Copilot for Sales and Service
  • 2. Design knowledge source integration
  • 3. Configure AI features across Dynamics 365 workloads
- Design extensibility and integration
  • 1. Integrate with Microsoft 365, Teams, and SharePoint
  • 2. Apply Power Platform Well-Architected Framework
  • 3. Extend agents via Model Context Protocol and open standards

The AB-100日本語 Exam and Our Services, Question by Question

Microsoft recommends the following official training resources:

Choose the format that fits your schedule, then reinforce it with regular question practice.

The latest exam information lists 40–60 questions for the AB-100日本語 exam, to be completed within 100 minutes minutes. Knowing the format cold is half the battle — timed practice handles the other half.

These are the core domains of the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) blueprint:

  • Design AI-powered business solutions (25–30%)
  • Deploy AI-powered business solutions (40–45%)
  • Plan AI-powered business solutions (25–30%)

Microsoft sets the following prerequisites for the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版): Recommended: experience designing AI solutions, knowledge of Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry; no mandatory prerequisites.

Check the current requirements on the official certification page before scheduling.

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As of the latest information, the AB-100日本語 exam's passing score is 700 (out of 1000) and the registration fee is $165 USD. Microsoft can adjust either figure, so verify both on the official site before you book.

Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) Sample Questions:

ある会社には、販売注文を手動で作成する顧客注文システムがある。
システムの一部として、以下のタスクを自動化するAIソリューションを設計する必要があります。
注文の詳細をデータベースに保存します。
* データベース内の注文ステータスを更新します。
注文ファイルから注文の詳細を抽出する
* 顧客に確認メールを作成して送信する。
ソリューションは開発労力を最小限に抑え、インテリジェントな自動化とソリューション統合をサポートする必要があります。
デザインには何を含めるべきでしょうか?

  • A. Microsoft Foundry Agent Serviceを使用するマルチエージェントソリューション
  • B. Semantic Kernel SDKを使用したマルチエージェントソリューション
  • C. Azure Logic Apps のワークフロー
  • D. Microsoft Power Automateワークフローを使用するMicrosoft Copilot Studioエージェント
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

あなたは、カスタムの Microsoft Foundry モデルを使用して応答を生成する Microsoft Copilot Studio エージェントを設計しています。ユーザーとのやり取り中に、エージェントがカスタム モデルに安全に接続して呼び出せるようにする必要があります。設計には何を含めるべきでしょうか?

  • A. エージェントをクラシックオーケストレーションを使用するように設定します。
  • B. エージェントでMicrosoft Foundryへの接続を作成します
  • C. カスタムエンジンエージェントを作成する
  • D. Microsoft Foundry モデルを Copilot Studio のスキルとして追加します。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

ある企業が、既存のAIモデルを導入することでビジネスプロセスの手作業を削減するMicrosoft Power Platformソリューションを設計しています。ソリューションのメタデータとテレメトリを特定して、AI投資収益率(ROAI)を計算する必要があります。何を使用すればよいでしょうか?

  • A. デザインによる成功
  • B. Microsoft Cloud Adoption Framework for Azure
  • C. Microsoft Power Platform 管理センター
  • D. ビジネス価値ツールキット
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for PremiumVCEDump members. You can sign-up / login (it's free).

ある企業は、Microsoft Copilot Studioエージェントを使用するAIビジネスソリューションを導入しています。エージェントとのやり取りの有効性を向上させるための、迅速なベストプラクティスを推奨する必要があります。推奨事項に含めるべき2つのアクションはどれですか?正解はそれぞれソリューションの一部を示しています。注:正解ごとに1ポイントが加算されます。

  • A. 平均ユーザーセッションの継続時間を追跡します。
  • B. ユーザー入力に基づいてプロンプトを定期的にテストし、改善する。
  • C. プロンプト処理中のシステムリソース使用量を測定します。
  • D. プロンプトの長さ分布を分析する。
  • E. 指示には明確かつ具体的な指示を使用してください。
Reveal Solution  Discussion  0

Correct Answer: B,E  🗳️

Explanation: Only visible for PremiumVCEDump members. You can sign-up / login (it's free).

ある企業は、複数のシステムに分散して複数の形式で保存されている請求書を処理する。
請求書処理を自動化するために、AIソリューションを導入する必要があります。このソリューションは、以下の要件を満たす必要があります。
* 文書分析、データ検証、承認ルート設定など、複数のステップからなる請求書処理タスクを自動化します。
* ユーザーがMicrosoft Teamsを介して直接やり取りし、請求書を確認および承認できるようにします。
承認ワークフローの定義とカスタマイズに必要な開発作業を最小限に抑える。
解決策には何を含めるべきですか?

  • A. Azure OpenAIとAzure Functions
  • B. Microsoft Copilot Studio および AI Builder
  • C. SharePointエージェント
  • D. Foundry Tools および Azure Logic Apps の Azure Document Intelligence
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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