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Last 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 |
| Certificate Validity Period: | 12 months |
| Exam Duration: | 100 minutes |
| Available Languages: | English |
| Related Certifications: | Microsoft Certified: Power Platform Microsoft Certified: Dynamics 365 Microsoft Certified: Azure AI Fundamentals |
| Exam Format: | Interactive question types, Multiple choice, Case studies, Scenario-based questions |
| Recommended Training: | Microsoft Copilot Studio Learning Path Azure AI Foundry Documentation |
| Exam Registration: | Microsoft Learn Certification Page AB-100 Exam Study Guide |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam (with possible interactive/case-based components) |
| Pre Condition: | Recommended: Active Microsoft Associate-level certification in AI/Power Platform/Dynamics 365 (e.g., AI-102, PL-600, MB-910 or similar) |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-business-solutions-architect/ |
Microsoft AB-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploy AI-powered business solutions | 45% | - Security, governance, and ALM
|
| Plan AI-powered business solutions | 25% | - AI solution design strategy
|
| Design AI-powered business solutions | 30% | - Agent and solution design
|
AB-100日本語 Candidates Ask, SurePassExams Answers
There is, and we recommend it. SurePassExams posts a free demo of the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) questions on the product page — download it or leave your email and we will send it over. Buying includes 365 days of free updates; when that year runs out, you can extend the update service at a 50% discount from your member zone.
Registration is handled through Microsoft's official channels:
Delivery format for the exam itself: Online proctored exam (with possible interactive/case-based components). Pick whichever option fits your situation when scheduling.
Microsoft structures the Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) exam around 3 domains. The heaviest hitters are Deploy AI-powered business solutions (45% of the exam), Design AI-powered business solutions (30% of the exam), Plan AI-powered business solutions (25% of the exam). Start your revision where the weight is, and scroll up to the outline section on this page for the complete topic list.
The AB-100日本語 exam is the official Microsoft assessment that awards the Microsoft Certified: Agentic AI Business Solutions Architect certification — a credential at the Expert level. Passing it proves vendor-validated skills that employers actively look for. It belongs to a broader track that includes Microsoft Certified: Dynamics 365, Microsoft Certified: Power Platform, Microsoft Certified: Azure AI Fundamentals, making it a solid anchor for further certifications.
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Microsoft points Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) candidates toward these official training resources:
Coursework builds understanding; the 109 practice questions for the AB-100日本語 exam from SurePassExams then prove whether that understanding survives a real testing clock.
Recommended: Active Microsoft Associate-level certification in AI/Power Platform/Dynamics 365 (e.g., AI-102, PL-600, MB-910 or similar) Because Microsoft can revise these requirements, verify the current rules on the official exam page — https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-business-solutions-architect/ — before scheduling your Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) exam.
Microsoft Agentic AI Business Solutions Architect (AB-100日本語版) Sample Questions:
ある企業は、Microsoft Copilot Studioエージェントを3か月間運用している。
当該エージェントはユーザーから好意的なフィードバックを受けている。
エージェントが回答しなかった質問の数と、ユーザーとエージェント間のセッションが中断された回数を特定する必要があります。
どのCopilot Studioインサイトを使用すべきでしょうか？回答するには、適切なインサイトを正しい要件にドラッグしてください。各インサイトは、1回、複数回、またはまったく使用しない場合があります。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
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.
あなたは、営業チーム向けに販売見積書を自動生成するMicrosoft Copilot Studioエージェントを設計しています。見積書生成プロセスを自動化するためのローコードソリューションを推奨する必要があります。推奨事項には何を含めるべきでしょうか？
- A. 適応型カード
- B. エージェントの行動
- C. エージェントワークフロー
- D. プロンプト
Correct Answer: C 🗳️
顧客サポート向けに、Microsoft Power Platform ソリューションを推奨する必要があります。このソリューションには、Microsoft Power Automate の AI 機能が含まれている必要があり、以下の要件を満たしている必要があります。
* AIモデルには集中型ワークスペースを使用してください。
* 追加のトレーニングやコーディングを必要とせずに、症例記録や議事録などの大量の非構造化テキストから短い概要を生成します。
各要件に対する推奨事項には何を含めるべきでしょうか？回答するには、回答欄で適切な選択肢を選んでください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
1. Centralized Workspace for AI Models
In the evolving Microsoft AI ecosystem, Azure AI Foundry (formerly Azure AI Studio) serves as the unified, centralized workspace for developers and organizations to build, manage, and deploy AI models.
Unified Hub: It provides a single location to access the Model Catalog, manage deployments, and perform prompt engineering.
Integration: While AI Builder is the " front-end " for citizen developers in Power Automate, Azure AI Foundry is the foundational " engine room " where the underlying models (including those used by prompts) are managed and governed at an enterprise level.
Scalability: It allows organizations to host their own custom models or utilize industry-leading foundation models (like GPT-4o) which then power the downstream capabilities in the Power Platform.
2. Generating Short Overviews Without Training or Coding
To summarize large amounts of unstructured text like case notes or transcripts without manual effort, AI Builder prebuilt prompts are the specific solution.
AI Builder Prebuilt Prompts: These are ready-to-use GPT-based instructions designed for common business tasks. Specifically, the " AISummarize " prebuilt prompt is engineered to take input text and generate a concise summary automatically.
Zero Training Required: Unlike " Custom Models " which require you to provide sets of historical data to teach the AI, prebuilt prompts leverage pre-trained Large Language Models (LLMs). This meets the requirement of " no additional training or coding. " Ease of Use: In Power Automate, you simply add the " Create text with GPT using a prompt " action and select the prebuilt summary prompt, passing it the text from your case notes or transcripts.
社内データに基づいてビジネスレポートを生成するカスタム生成型AIモデルの検証基準を作成しています。モデルの出力が適切で意味のあるものかどうか(またはビジネスレポートが適切かどうか)を評価する必要があります。どの指標を使用すべきでしょうか？
- A. モデルの学習期間
- B. 推論中の平均システムリソース使用量
- C. 出力をドメイン固有のタスクに整合させる
- D. モデルとやり取りしているアクティブユーザーの数
Correct Answer: C 🗳️
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Microsoft Copilot Studio アナリティクスを使用して、デプロイ済みの Copilot Studio エージェントのパフォーマンスを分析します。
以下の項目を測定するために、どのパフォーマンス指標を使用するかを特定する必要があります。
* ライブのカスタマーサービス担当者に引き継がれたセッションの割合
* 知識ソースエラーを引き起こすエージェントクエリの数
各要件について、何を特定すべきでしょうか？回答するには、回答欄で適切な選択肢を選んでください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
In Microsoft Copilot Studio analytics, each metric is designed to measure a different aspect of agent performance.
For the first requirement, the metric that tracks the percentage of engaged sessions escalated to a live customer service representative is Escalation rate. This directly measures how often conversations are handed off from the agent to a human.
For the second requirement, the metric that helps identify queries causing a knowledge source error is Answer quality. This area evaluates how well the agent responds and includes issues related to grounded answers, failed responses, and knowledge-source-related problems.
Why the other options are not correct:
Customer Satisfaction (CSAT) score measures user satisfaction, not escalation percentage or knowledge source errors.
Engagement rate measures whether users actively interact with the agent, not whether sessions are escalated or whether a knowledge source failed.
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