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Microsoft AB-100 Exam Syllabus Topics:
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Microsoft AB-100 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Certificate Validity Period: | 1 year (for recertification) |
| Available Languages: | English |
| Real Exam Qty: | Around 40-50 questions |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 50 minutes |
| Exam Format: | Multiple choice, Scenario-based |
| Exam Price: | USD $85 |
| Related Certifications: | Microsoft Applied Skills |
| Sample Questions: | Microsoft AB-100 Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Basic understanding of Microsoft Copilot, Azure AI services, and general AI/ML concepts recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/applied-skills/agentic-ai-business-solutions-architect/ |
Microsoft Agentic AI Business Solutions Architect Sample Questions:
A company uses Microsoft 365 and Dynamics 365
You need to recommend a solution lo automatically summarize email threads, generate suggested replies in Microsoft Outlook, and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend Microsoft 365 Copilot for Sales.
Does this meet the goal?
- A. No
- B. Yes
Correct Answer: A 🗳️
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?
- A. No
- B. Yes
Correct Answer: A 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
You are designing a Microsoft Copilot Studio agent that uses a custom Microsoft Foundry model to generate responses. You need to ensure that the agent can securely connect to and invoke the custom model during user interactions. What should you include in the design?
- A. Create a connection to Microsoft Foundry in the agent
- B. Add the Microsoft Foundry model as a Copilot Studio skill.
- C. Configure the agent to use classic orchestration.
- D. Create a custom engine agent
Correct Answer: A 🗳️
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 configure Al Builder lead scoring models to influence opportunity summaries. Does this meet the goal?
- A. No
- B. Yes
Correct Answer: A 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
A company uses Microsoft Dynamics 365 Supply Chain Management.
You are designing an AI supply chain process that meets the following requirements:
Provides managers with AI-driven insights that surface key information from customer orders Helps planners use AI to anticipate future product needs more accurately You need to recommend which Microsoft Copilot features to include in the design.
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.
Correct Answer:
Explanation:
Provide AI-driven insights from customer orders # AI Summaries with Copilot; Anticipate future product needs # Generative insights for Demand planning The first requirement is to give managers AI-driven insights that surface key information from customer orders.
That aligns best with AI Summaries with Copilot, because summaries are designed to extract and present the most important information from operational records in a concise, business-friendly way. In a supply chain context, this helps managers quickly understand:
important order details
exceptions or risks
priority items
fulfillment context
notable changes or issues tied to customer orders
From an AI business solutions perspective, this is exactly the kind of feature used to reduce manual review effort and improve decision speed. Rather than reading through many order records, managers get a synthesized view of key information.
Why "Generative insights for Demand planning" is correct
The second requirement is to help planners anticipate future product needs more accurately.
This directly maps to Generative insights for Demand planning. Demand planning is the business function focused on forecasting future demand, identifying trends, and improving planning accuracy for inventory and supply decisions.
Generative insights in this area help planners by surfacing patterns, explaining forecast behavior, and supporting better forward-looking decisions about product demand.
From an agentic AI business solutions standpoint, this is the right fit because it applies AI to:
forecast interpretation
trend identification
planning support
future demand anticipation
more accurate product need estimation
Why the other options are incorrect
Workload insights with Copilot
This is not the best match for surfacing key information from customer orders. It is more associated with operational workload visibility than customer-order summarization.
Microsoft Power BI
Power BI is useful for analytics and dashboards, but the question specifically asks for a Microsoft Copilot feature to anticipate future product needs. The direct feature match is Generative insights for Demand planning.
The Customer credit and collections workspace
This is focused on finance and collections activity, not on supply chain customer-order insight summarization.
Product information management
This manages product data and attributes, not AI-driven future demand anticipation.
The Supplier Communications Agent
This is related to supplier communication workflows, not demand forecasting for future product needs.
Expert reasoning
A quick exam shortcut here is:
Surface key information from records/orders # think AI Summaries with Copilot Anticipate future demand/product needs # think Generative insights for Demand planning
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