Exam Name: Agentic AI Business Solutions Architect (AB-100日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified
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Updated: Oct 13, 2026
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Microsoft AB-100日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Passing Score: | 700 (out of 1000) |
| Exam Format: | Case studies, Scenario-based, Multiple choice, Multiple response, Interactive items |
| Real Exam Qty: | 40–60 |
| Exam Duration: | 100 minutes |
| Exam Price: | $165 USD |
| Available Languages: | English |
| Certificate Validity Period: | 1 year (annual renewal via free online assessment) |
| Related Certifications: | Microsoft Certified: Power Platform Functional Consultant Associate Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Dynamics 365 Certified |
| Recommended Training: | Official Microsoft Learn learning paths |
| Exam Registration: | Register via Microsoft Learn / Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended: experience designing AI solutions, knowledge of Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry; no mandatory prerequisites |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-100 |
Microsoft AB-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design AI-powered business solutions | 25–30% | - Design extensibility and integration
|
| Topic 2: Plan AI-powered business solutions | 25–30% | - Design overall AI strategy
|
| Topic 3: Deploy AI-powered business solutions | 40–45% | - Implement security, governance, compliance
|
AB-100日本語 Exam FAQ: Save Time, Read This
Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) is an official Microsoft certification exam, listed under the code AB-100日本語. Passing it earns the Microsoft Certified: Agentic AI Business Solutions Architect certification at the Specialty level. It also ties into Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Power Platform Functional Consultant Associate, Microsoft Certified: Dynamics 365 Certified. In an era of lifelong learning, this credential is one of the most efficient ways to prove your skills keep pace.
Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) gives you 40–60 questions across 100 minutes. The efficient approach: one to two hours of daily timed practice in the Exams4sures engine builds both the knowledge and the pacing, so exam day feels like simply another well-run session.
Passing Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) takes 700 (out of 1000), and the official registration fee is $165 USD. Retakes cost the full $165 USD again, so treat your Exams4sures practice scores as the decision-maker: book when the passing line sits below your everyday results, not your best ones.
The Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) syllabus is organized into 3 domains, led by Design AI-powered business solutions (25–30%), Plan AI-powered business solutions (25–30%), and Deploy AI-powered business solutions (40–45%). The complete breakdown is above on this page; it is the fastest way to learn where your limited preparation hours belong.
Recommended: experience designing AI solutions, knowledge of Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry; no mandatory prerequisites
Vendor policies are revised periodically, so verify the current requirements before registering via the official exam page.
Registration for Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) goes through the official channels below.
For planning: the exam is delivered Online proctored or onsite at Pearson VUE test centers.
Microsoft recommends the following training for Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) candidates.
Follow any training with daily practice on the 109 questions in the Exams4sures AB-100日本語 package; sorted by authorized expert groups, they turn course theory into exam-ready skill.
Yes on both counts. Download the free demo of the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) questions first, and browse the comments written by former customers for a second opinion. After purchase, new versions are sent to you as soon as they release, free for 365 days; after expiry, extending the update service costs 50% of the regular price.
Worry-free means a 100% money-back guarantee with stated conditions. Take the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.
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Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) Sample Questions:
ある企業が、消費財メーカー向けにAIを活用したビジネスソリューションを導入する計画を立てている。
以下の要件を満たすエージェントを作成する必要があります。
* 販売注文の処理と顧客への商品の発送を統括する。
過去のデータと傾向を分析して在庫を補充する。
各要件にはどのタイプのエージェントを使用すべきでしょうか？回答するには、適切なエージェントタイプを正しい要件にドラッグしてください。各エージェントタイプは、1回、複数回、またはまったく使用しない場合があります。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要がある場合があります。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
This question separates two different kinds of agent behavior.
For orchestrating sales order fulfillment and shipping, the best fit is an Autonomous agent. That requirement involves coordinating multiple steps, making decisions across a process, and driving execution across a workflow with limited manual intervention. Autonomous agents are designed for this kind of end-to-end orchestration.
For analyzing historical data and trends to replenish stock, the best fit is a Task agent. This requirement is more focused and bounded: analyze data, identify patterns, and support a specific business function. That aligns with a task-oriented agent rather than a broad orchestration agent.
Why Prompt-and-response is not the best answer here:
It is better suited for direct user query/answer interactions
It is not the strongest fit for process orchestration or structured business analysis workflows
ある企業はMicrosoft Power Platform環境を運用している。
Agent1とAgent2という名前の2つのエージェントを作成する必要があります。ソリューションは以下の要件を満たす必要があります。
* Agent1はセマンティックカーネルを使用して拡張可能であり、複数のビジネスアプリケーションおよびAPIに接続する必要があります。
* Agent2 は、Microsoft Dataverse に保存されているデータに直接接続し、Microsoft Power Apps キャンバスに埋め込むことができる必要があります。
各エージェントの構築には何を使用すべきですか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
Agent1 # Microsoft Foundry
Agent2 # Copilot in Power Apps
Comprehensive and Detailed Explanation from Agentic AI Topics:
For Agent1, the requirement is that it must be extendable by using Semantic Kernel and connect to multiple business apps and APIs. The best fit is Microsoft Foundry because Foundry-based agents are designed for extensibility and developer-oriented orchestration, including integration patterns that work well with Semantic Kernel and external tools/APIs.
For Agent2, the requirement is that it must connect directly to Microsoft Dataverse and be embeddable in a Power Apps canvas app. The best fit is Copilot in Power Apps, because it is designed for Power Platform- native experiences, works naturally with Dataverse-backed app data, and is intended for embedding AI experiences inside canvas apps.
Why the other options are not the best match:
Azure Logic Apps is for workflow orchestration, not the primary platform for building these agents.
Microsoft Copilot Studio is strong for conversational agents, but the wording here points more directly to Power Apps-native embedding for Agent2 and Semantic Kernel extensibility for Agent1.
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調整することで、Copilot をカスタマイズする必要があります。解決策: カスタマイズされた Copilot 概要をトリガーする Microsoft Power Automate フローを作成します。これで目標は達成されますか?
- A. いいえ
- B. はい
Correct Answer: A 🗳️
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ある企業は、カスタムコネクタを使用してエンタープライズAPIと連携するMicrosoft Copilot Studioエージェントを導入している。
コネクタが開発、テスト、本番環境全体に一貫して展開され、ガバナンスとトレーサビリティの要件を満たすように、アプリケーションライフサイクル管理(ALM)プロセスを推奨する必要があります。
何をおすすめしますか？
- A. コネクタ定義を環境変数に保持します。
- B. コネクタをソリューションコンポーネントとして管理し、ALMパイプラインを使用してコンポーネントをデプロイします。
- C. APIをAzure Functionsとしてデプロイします。
- D. 環境間のコネクタを管理対象外ソリューションとしてエクスポートおよびインポートします。
Correct Answer: B 🗳️
あなたはMicrosoft Copilot Studioエージェント向けのテストソリューションを設計しています。
エージェントが正確で状況に応じた応答を生成することを保証するために、プロンプトエンジニアリングのベストプラクティスを検証する必要があります。ソリューションには、どのプロンプト検証手法と指標を含めるべきでしょうか？回答するには、回答欄で適切なオプションを選択してください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
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.
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