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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Exam Format: | Multiple choice, Interactive question types, Scenario-based questions, Case studies |
| Certificate Validity Period: | 12 months |
| Related Certifications: | Microsoft Certified: Power Platform Microsoft Certified: Dynamics 365 Microsoft Certified: Azure AI Fundamentals |
| Exam Duration: | 100 minutes |
| 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/ |
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NEW QUESTION # 39
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?
Answer: B
Explanation:
" Computer use is a tool in Copilot Studio that lets your agent interact with and automate tasks on a Windows computer. It works with websites and desktop apps by selecting buttons, choosing menus, and entering text into fields on the screen. Describe in natural language what you want computer use to do, and it performs the task on a computer you set up by using a virtual mouse and keyboard. By using computer use, agents can complete tasks even when there ' s no API to connect directly to the system. If a person can use an app or website, computer use can too. You can use computer use for tasks like automated data entry, invoice processing, and data extraction. " Reference: https://learn.microsoft.com/en-us/microsoft-copilot-studio
/computer-use
NEW QUESTION # 40
A company has an AI agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent's output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?
Answer: A
Explanation:
To automate feedback assessment and monthly reporting, you can build an agent flow in Microsoft Copilot Studio that functions as a "data pre-processor" and "insight generator." By using Agent Flows, you can move beyond simple Q&A to create structured, multi-step processes that clean raw data before it is ingested by the agent's main knowledge base.
Step 1: Design the Feedback Agent Flow
The "Flow" acts as the bridge between your cloud database (e.g., Azure SQL, Cosmos DB) and the final report.
Step 2: Ensure Data Quality (The "Clean Room")
For the agent to give accurate insights for marketing, the data must be grounded and structured.
Step 3: Automate the Monthly Report
Once the data is clean, the agent can summarize it into a report suitable for stakeholders.
Reference:
https://cps.co.uk/insights/how-to-use-copilot-studio-to-automate-repetitive-tasks
NEW QUESTION # 41
A company has an AI solution that uses Azure OpenAI models.
You need to recommend a governance solution that monitors and audits changes to model configurations and data usage. The solution must minimize administrative effort.
What should you include in the recommendation?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answer is E. Microsoft Purview.
This question is centered on governance, specifically the need to:
monitor changes to model configurations
audit data usage
minimize administrative effort
That combination points most strongly to Microsoft Purview.
Why E is correct
Microsoft Purview is Microsoft's core platform for data governance, compliance, auditing, information protection, and lifecycle oversight. When an organization is using Azure OpenAI models and needs a governance-oriented solution for monitoring and auditing how data is used, Purview is the best fit among the listed options.
From an AI business solutions perspective, governance is broader than infrastructure monitoring. It includes:
understanding how sensitive data is handled
tracking access and usage patterns
supporting audit and compliance needs
helping investigate data exposure concerns
enforcing information governance practices across AI-enabled workloads
Purview is especially strong when the requirement includes auditing data usage because that is a governance and compliance concern, not just a performance or telemetry concern.
It also minimizes administrative effort because it provides centralized governance capabilities rather than requiring the company to stitch together multiple lower-level services for oversight.
Why the other options are incorrect
A). Azure Monitor
Azure Monitor is useful for telemetry, logs, metrics, and operational monitoring. It helps observe system performance and activity, but it is not the best primary governance solution for auditing data usage and broader compliance oversight.
B). Azure Stream Analytics
This service is used for real-time stream processing and analytics. It does not address governance and audit requirements for Azure OpenAI model configurations and data usage.
C). Azure API Management
API Management helps publish, secure, and manage APIs. It is valuable for access mediation and control, but it is not the main governance and auditing platform for data usage and model-configuration oversight.
D). Azure Policy
Azure Policy is very strong for enforcing resource configuration standards and compliance rules at deployment and configuration time. However, the question also emphasizes auditing data usage, which is better aligned to Purview's governance capabilities. Policy is more about enforcement of resource state; Purview is stronger for governance, auditing, and data oversight.
Expert reasoning
Use this exam shortcut:
Need operational logs and metrics # Azure Monitor
Need deployment/configuration enforcement # Azure Policy
Need data governance, auditing, compliance, and information oversight # Microsoft Purview Because the question emphasizes both changes and data usage auditing with a governance lens, Microsoft Purview is the strongest answer.
So the correct choice is:
NEW QUESTION # 42
A company uses Microsoft Foundry agents.
You need to ensure that an agent can dynamically use external tools at runtime without updating the agent.
What should you include in the solution?
Answer: B
Explanation:
The correct answer is A. a Model Context Protocol (MCP) server.
In Microsoft Foundry agent scenarios, MCP is used to let an agent discover and use external tools dynamically at runtime without requiring the agent itself to be modified each time a new tool or capability is added.
Why this is correct:
MCP standardizes how tools are exposed to agents
It allows the agent to connect to external capabilities in a flexible, runtime-driven way New tools can be made available through the MCP server without rebuilding or updating the core agent definition This directly matches the requirement:
"ensure that an agent can dynamically use external tools at runtime without updating the agent." Why the other options are not correct:
B). a Microsoft Foundry hubA hub is used more for organizing and managing AI resources/projects, not specifically for dynamic runtime tool exposure.
C). Microsoft Copilot StudioCopilot Studio is for building conversational agents and workflows, but the question is specifically about dynamic external tool use in Foundry agents.
D). Azure AI SearchAzure AI Search is for indexing and retrieving knowledge, not for dynamically exposing executable external tools.
NEW QUESTION # 43
A company has an AI agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent's output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?
Answer: D
Explanation:
Correct:
* Identify and address biased data.
To ensure that the customer feedback ingested by your Microsoft AI agent is clean and suitable for monthly sentiment reports, the most effective action is to identify and address biased data.Data bias in sentiment analysis can lead to skewed reports that misrepresent customer satisfaction or ignore the needs of specific demographic groups.
Incorrect:
* Create a workflow in Microsoft Power Automate
* Create an agent flow in Microsoft Copilot Studio.
* Ensure that the size of the database does not exceed 100 GB.
* Sort the database by customer last name.
Reference:
https://blog.naitive.cloud/how-to-detect-and-mitigate-bias-in-generative-ai/
NEW QUESTION # 44
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