2026年ShikenPASSの最新AB-100 PDFダンプおよびAB-100試験エンジンの無料共有：https://drive.google.com/open?id=1gclNUJemBsdONgYpgVu9XL_vm31gc7N7
ShikenPASSというサイトは世界的に知名度が高いです。それはShikenPASSが提供したIT業種のトレーニング資料の適用性が強いですから。それはShikenPASSのIT専門家が長い時間で研究した成果です。彼らは自分の知識と経験を活かして、絶え間なく発展しているIT業種の状況によってShikenPASSのMicrosoftのAB-100トレーニング資料を作成したのです。多くの受験生が利用してからとても良い結果を反映しました。もしあなたはIT認証試験に準備している一人でしたら、ShikenPASSのMicrosoftのAB-100「Agentic AI Business Solutions Architect」トレーニング資料を選らんだほうがいいです。利用しないのならメリットが分からないですから、速く使ってみてください。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy AI-powered business solutions | 40–45% | - Implement security, governance, compliance
|
| Topic 2: Design AI-powered business solutions | 25–30% | - Design extensibility and integration
|
| Topic 3: Plan AI-powered business solutions | 25–30% | - Evaluate costs and benefits
|
一部の候補者は、自社のAB-100ソフトウェアテストシミュレーターを購入する場合があります。 ソフトバージョンをインストールできるパーソナルコンピューターの台数を尋ねられます。 実際、コンピューターの数に制限はありません。 したがって、AB-100ソフトウェアテストシミュレータを購入すると、同時にマルチユーザーをサポートします。 無制限にコンピューターにインストールできます。 あなたが訓練学校である場合、教師が気軽に発表して説明するのに適しています。 優れたAB-100ソフトウェアテストシミュレータは合格率が高く、ShikenPASSは長期的な協力をお待ちしています。
質問 # 105
A company plans to deploy a Microsoft Dynamics 365 Contact Center agent.
You need to ensure that the agent can transfer the conversation to a live customer service representative.
Which two components should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：C、E
解説：
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answers are B. Microsoft Copilot Studio and E. Customer engagement hub .
This question focuses on enabling a Dynamics 365 Contact Center agent to hand off a conversation to a live customer service representative . That requires both:
* the tool used to build and configure the conversational agent
* the service environment where live customer engagement and routing occur Why B. Microsoft Copilot Studio is correct Microsoft Copilot Studio is the platform used to build, configure, and manage the contact center agent experience. It enables you to define conversation flows, escalation logic, triggers, and handoff behavior.
In this case, the requirement is specifically that the agent must be able to transfer the conversation to a live representative. Copilot Studio is where that escalation or transfer behavior is designed as part of the agent experience.
Why E. Customer engagement hub is correct
The Customer engagement hub provides the operational environment for customer service interactions and live-agent engagement within Dynamics 365. Once the AI agent determines that escalation is required, the live representative needs an environment to receive and continue that engagement.
From a business solutions architecture perspective, this makes sense:
* Copilot Studio defines the agent and transfer logic
* Customer engagement hub supports the human service experience after transfer Together, they satisfy the end-to-end requirement for AI-to-human handoff.
Why the other options are incorrect
A). Microsoft Foundry
Foundry supports AI model and agent development scenarios, but it is not the specific component needed for live-agent transfer in Dynamics 365 Contact Center.
C). Microsoft 365 Agents Toolkit
This is not the core component for enabling Dynamics 365 Contact Center handoff to a live service representative.
D). an Azure AI Bot Service skill
Bot skills can extend capabilities, but they are not the primary required components for enabling the standard transfer from a Dynamics 365 Contact Center agent to a live customer service representative.
Expert reasoning:
For Contact Center escalation questions, think in two layers:
* agent authoring/orchestration # Microsoft Copilot Studio
* human service environment / live representative experience # Customer engagement hub So the correct choices are:
質問 # 106
You are designing a low-code Al business solution by using Microsoft Copilot Studio.
The solution must include an agent that automates tasks by simulating user interactions across third-party apps and websites, such as clicking buttons, entering text, and extracting information from screens.
You need to recommend what to include in the agent.
What should you recommend?
正解：A
解説：
This requirement is very specific: the agent must automate tasks by simulating user interactions across third-party apps and websites , including:
* clicking buttons
* entering text
* extracting information from screens
That is exactly what Computer Use in Copilot Studio is designed for.
Why C is correct:
* Computer Use enables agents to interact with user interfaces in a human-like way.
* It is intended for scenarios where the agent must work across apps and websites that may not expose direct APIs.
* It supports low-code business automation where the AI performs on-screen actions rather than just answering questions.
Why the other options are not correct:
* A. a natural language understanding+ (NLU+) model in Copilot Studio NLU+ helps with understanding user intent, not with UI interaction automation.
* B. Copilot skills Skills extend capabilities, but the question is specifically about simulating on-screen actions across apps and websites.
* D. Model Context Protocol (MCP) MCP is for standardized tool and context integration between models and external systems. It is not the primary feature for direct UI simulation.
質問 # 107
Hotspot Question
You need to design a shared prompt library that will be used across multiple business units. The solution must meet the following requirements:
- Ensure consistent AI responses with reusable formats.
- Support governance and version control.
- Minimize administrative effort.
- Minimize ongoing costs.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Define standardized prompt templates
Ensure consistent AI responses with reusable formats.
To ensure consistent AI responses across multiple business units, your shared prompt library should be built on a foundation of standardized, modular templates that balance centralized governance with unit-specific flexibility.
Box 2: Store prompts in a Git repository
Support governance and version control.
Storing AI prompts in a Git repository allows you to treat prompts as "first-class artifacts" with the same accountability and lifecycle management as source code. For an enterprise solution serving multiple business units, this approach provides the necessary structure for governance, collaboration, and scalability.
1. Repository Organization for Business Units
2. Governance and Version Control Workflow
Branching Strategy: Use a dedicated branch for each experiment or new use case (e.g., feature/marketing-seo-v2) to ensure the main branch remains stable.
Pull Requests (PRs): Mandate PRs for all changes to enable peer reviews. PRs should include descriptions of changes, linked issues, and test results.
Semantic Versioning: Apply tags (e.g., v1.0.1) to mark significant updates, allowing business units to pin their applications to specific, stable prompt versions.
Auditability: Git maintains a full historical record of who changed a prompt, what was modified, and when it occurred.
Reference:
https://www.leeboonstra.dev/prompt-engineering/prompt_engineering_guide6
https://launchdarkly.com/blog/prompt-versioning-and-management
質問 # 108
A global manufacturing company wants to integrate AI across its operations. The CTO has asked you to lead the initiative. The company has no existing AI governance framework and limited AI experience among its staff.
Which approach should you recommend as the first step?
正解：A
解説：
The Cloud Adoption Framework for Azure provides a structured methodology for AI adoption that begins with strategic planning and governance establishment before any deployment. For an organisation with no existing AI governance and limited AI experience, jumping straight to deployment (Options A, C, or D. creates significant risks around security, compliance, data handling, and user adoption. The framework guides organisations through defining their AI strategy, establishing an AI Centre of Excellence, creating governance policies, conducting readiness assessments, and then progressively adopting AI capabilities. This structured approach ensures that the organisation builds the necessary foundations before scaling.
質問 # 109
A company plans to implement an Al business solution for a consumer goods company.
You need to create agents that meet the following requirements:
* Orchestrate the sales order fulfillment and shipping of goods to customers.
* Analyze historical data and trends to replenish stock.
Which type of agent should you use for each requirement? To answer, drag the appropriate agent types to the correct requirements. Each agent type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
解説：
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
質問 # 110
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AB-100トレーニング資料: https://www.shikenpass.com/AB-100-shiken.html
2026年ShikenPASSの最新AB-100 PDFダンプおよびAB-100試験エンジンの無料共有：https://drive.google.com/open?id=1gclNUJemBsdONgYpgVu9XL_vm31gc7N7