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Microsoft AB-100인증덤프는 최근 출제된 실제시험문제를 바탕으로 만들어진 공부자료입니다. Microsoft AB-100 시험문제가 변경되면 제일 빠른 시일내에 덤프를 업데이트하여 최신버전 덤프자료를Microsoft AB-100덤프를 구매한 분들께 보내드립니다. 시험탈락시 덤프비용 전액환불을 약속해드리기에 안심하시고 구매하셔도 됩니다.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple choice, Case studies, Interactive question types, Scenario-based questions |
| Certificate Validity Period: | 12 months |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Dynamics 365 Microsoft Certified: Power Platform |
| Available Languages: | English |
| Recommended Training: | Azure AI Foundry Documentation Microsoft Copilot Studio Learning Path |
| Exam Registration: | AB-100 Exam Study Guide Microsoft Learn Certification Page |
| Sample Questions: | Microsoft AB-100 Sample Questions |
| 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/ |
근 몇년간IT산업이 전례없이 신속히 발전하여 IT업계에 종사하는 분들이 여느때보다 많습니다. 경쟁이 이와같이 치열한 환경속에서 누구도 대체할수 없는 자기만의 자리를 찾으려면 IT인증자격증취득은 무조건 해야 하는것이 아닌가 싶습니다. Microsoft인증 AB-100시험은 IT인증시험중 가장 인기있는 시험입니다. Itcertkr에서는 여러분이Microsoft인증 AB-100시험을 한방에 패스하도록 실제시험문제에 대비한Microsoft인증 AB-100덤프를 발췌하여 저렴한 가격에 제공해드립니다.시험패스 못할시 덤프비용은 환불처리 해드리기에 고객님께 아무런 페를 끼치지 않을것입니다.
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질문 # 34
You need to recommend a Microsoft Power Platform solution for customer support. The solution must include Al capabilities in Microsoft Power Automate and must meet the following requirements:
* Use a centralized workspace for Al models.
* Generate short overviews from large amounts of unstructured text such as case notes or transcripts, without requiring additional training or coding.
What should you include in the recommendation for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
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.
질문 # 35
Hotspot Question
A company has a Microsoft Power Platform environment.
You need to build two agents named Agent1 and Agent2. The solution must meet the following requirements:
- Agent1 must be extendable by using the Semantic Kernel and must
connect to multiple business apps and APIs.
- Agent2 must connect directly to data stored in Microsoft Dataverse
and must be embeddable in a Microsoft Power Apps canvas app.
What should you use to build each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/microsoft-365-copilot-canvas-app
질문 # 36
A company has a Microsoft Dynamics 365 Sales environment that has Microsoft Copilot enabled.
You need to customize Copilot by tailoring how opportunity summaries are generated or how they are presented to users.
Solution: You add the opportunity summary widget to the Opportunity form. Does this meet the goal?
정답：B
설명：
Adding the opportunity summary widget to the Opportunity form can make the summary visible in the user interface, but it does not tailor how the summary is generated, nor does it meaningfully customize its presentation logic beyond placement.
The question asks whether this meets the goal of customizing Copilot by tailoring:
* how opportunity summaries are generated, or
* how they are presented to users
Simply placing the widget on the form is more of a UI inclusion step than a true customization of Copilot summary behavior or rendering logic.
질문 # 37
Hotspot Question
You need to recommend a Microsoft Power Platform solution for customer support. The solution must include AI capabilities in Microsoft Power Automate and must meet the following requirements:
Use a centralized workspace for AI models.
Generate short overviews from large amounts of unstructured text, such as case notes or transcripts, without requiring additional training or coding.
What should you include in the recommendation for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 38
A company plans to deploy a Microsoft Foundry agent
You need to recommend an application lifecycle management (ALM) process to ensure that the agent evaluates against baseline accuracy metrics before being deployed. What should you recommend?
정답：C
설명：
When deploying a Microsoft Foundry agent , the platform provides built#in:
* Evaluation pipelines
* Baseline accuracy checks
* Drift monitoring
* Observability dashboards
These features allow you to validate the agent against baseline metrics BEFORE deployment , which is exactly what the question requires.
This is the only option that directly addresses:
* ALM
* Pre#deployment evaluation
* Accuracy validation
* Automated quality gates
질문 # 39
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