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Exam Code: AB-100
Exam Name: Agentic AI Business Solutions Architect (AB-100日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified
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AB-100日本語

Updated: Oct 24, 2026

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New versions of the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) bank are released periodically after careful review, so the 109 practice questions you download in 2026 reflect the current exam rather than an old snapshot.

Microsoft AB-100日本語 Exam Syllabus Topics:

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

Common Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) Questions from Candidates

AB-100日本語 is passed with 700 (out of 1000), and the official exam fee is $165 USD. Fixing these numbers early helps you set a measurable practice target.

Register via Microsoft Learn / Pearson VUE: register for AB-100日本語

The AB-100日本語 exam contains 40–60 questions to complete in 100 minutes minutes. Rehearsing under the same limit on the ActualVCE engine turns pacing into a trained habit.

Official Microsoft Learn learning paths: Visit official page

Choose the version of Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) you want, one, two, or all three, add it to the cart, and complete payment through the secure Credit Card checkout. The download link then arrives by email within about a minute, so your study starts without wasted time.

The package includes 109 practice questions for the AB-100日本語 exam. The count is set through analysis of a large volume of data, so the set matches the scope of the real test without padding.

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

Divide your time according to each topic's weight.

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Recommended: experience designing AI solutions, knowledge of Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry; no mandatory prerequisites

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

ある企業は、Microsoft Copilotが有効になっているMicrosoft Dynamics 365 Sales環境を運用しています。
商談概要の生成方法やユーザーへの表示方法をカスタマイズすることで、Copilotをカスタマイズする必要があります。
解決策：AI Builderのリードスコアリングモデルを設定して、商談概要に影響を与えるようにします。これで目標は達成されますか？

  • A. はい
  • B. いいえ
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Solution1 という名前のソリューションを含む Microsoft Power Platform 環境向けに、アプリケーションライフサイクル管理 (ALM) プロセスを設計する必要があります。
解決策1には、Microsoft Dynamics 365 Customer ServiceのCopilot用のカスタムコネクタを含める必要があります。
解決策1は以下の要件を満たす必要があります。
* カスタムコネクタがALMプロセスの一環として、複数の環境に一貫して展開できることを確認する。
* カスタムコネクタは開発環境でのみ編集できるようにする。
デザインには何を含めるべきでしょうか？

  • A. カスタムコネクタを共有します。
  • B. カスタムコネクタをGitHubに追加します。
  • C. デフォルトソリューションでカスタムコネクタを作成します。
  • D. Solution1にカスタムコネクタを追加します。
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

四半期ごとのエージェント分析において、CFOはカスタムAIエージェント設計のどの2つの要素を評価すべきでしょうか？それぞれの正解は、解決策の一部を示しています。
注：正解ごとに1ポイント獲得できます。

  • A. チャットメッセージの平均文字数
  • B. エージェントオーケストレーション手法
  • C. エージェントあたりの平均セッション時間
  • D. エージェントに使用されるGPTモデル
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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

ある企業は、Microsoft Dynamics 365 Salesを使用して、Leadという名前のMicrosoft Dataverseテーブルに保存されているリードを管理しており、非標準の用語とカスタム列を使用しています。
Microsoft Copilot コントロールがリードを効率的に集計できるように、リード テーブルでビジネス用語を設定する必要があります。このソリューションは、管理作業を最小限に抑えるものでなければなりません。
取引条件はどのように設定すべきですか？

  • A. すべてのフィールドを1つのカスタムフィールドに結合します。
  • B. フィールドの表示名をビジネス用語としてマッピングします。
  • C. 各分野ごとに新しいビジネス用語を作成する。
  • D. スキーマ名をビジネス用語として追加します。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

ある製造会社は、仕入先からの請求書処理を自動化するエージェントを導入したいと考えている。
あなたは、今回の導入に伴う財務上の影響を評価するためのソリューションを設計しています。会社は特に予算超過を懸念しています。
ソリューションが総所有コスト(TCO)、自動化による期待されるコスト削減効果、および既存のAI機能を拡張するかどうかを考慮していることを確認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. 損益分岐点分析のみ
  • B. 事前構築済みエージェントを採用して、導入時間を短縮する
  • C. カスタムモデルのトレーニング
  • D. AI投資収益率(ROAI)分析
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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