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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Available Languages: | English |
| Certificate Validity Period: | 1 year (annual renewal via free online assessment) |
| Real Exam Qty: | 40โ60 |
| Exam Duration: | 100 minutes |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Power Platform Functional Consultant Associate Microsoft Certified: Dynamics 365 Certified |
| Passing Score: | 700 (out of 1000) |
| Exam Format: | Multiple response, Scenario-based, Case studies, Interactive items, Multiple choice |
| Exam Price: | $165 USD |
| Recommended Training: | Official Microsoft Learn learning paths |
| Exam Registration: | Register via Microsoft Learn / Pearson VUE |
| Sample Questions: | Microsoft AB-100 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended: experience designing AI solutions, knowledge of Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry; no mandatory prerequisites |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-100 |
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NEW QUESTION # 101
You are designing end-to-end test scenarios for a business solution that uses Microsoft Dynamics 365 Sales and Dynamics 365 Finance. You need to ensure that the business solution meets the following test requirements:
* Properly exchanges data between the Dynamics 365 apps
* Aligns with defined user workflows and business processes
Which type of testing should you use for each requirement? To answer, drag the appropriate testing types to the correct requirements. Each testing 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.
Answer:
Explanation:
Explanation:
For end-to-end validation of a solution that uses Dynamics 365 Sales and Dynamics 365 Finance, the testing type should match the goal of each requirement.
For properly exchanging data between the Dynamics 365 apps, the correct testing type is Integration testing.
This verifies that the systems connect correctly, pass data accurately, and maintain consistency across app boundaries.
For aligning with defined user workflows and business processes, the correct testing type is User acceptance testing. This focuses on whether the solution supports real business tasks the way users expect and whether it fits the intended operational process.
Why the other options are not correct here:
Drift is about changes over time, often in model or behavior consistency.
Exploratory is useful for uncovering unexpected issues, but it is not the primary match for the stated requirement.
Performance focuses on speed, scale, and responsiveness, not workflow fit.
NEW QUESTION # 102
A company has a Microsoft Copilot Studio agent for customer support. You are reviewing and validating the following prompts:
* A prompt that has instructions to " help the customer as best you can "
* A prompt that helps retrieve product information from a knowledge base You need to ensure that the agent delivers consistent and accurate responses.
What should you do for each prompt? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
This question is about improving prompt quality so a Microsoft Copilot Studio agent gives consistent and accurate answers.
For the first prompt, "help the customer as best you can" is too vague. It does not tell the model exactly what task to perform, what boundaries to follow, or what kind of response is expected. The correct improvement is to rewrite the prompt with clear and task-specific instructions . Clear prompts reduce ambiguity and make agent behavior more predictable and repeatable.
For the second prompt, the agent is retrieving product information from a knowledge base . To keep answers accurate and grounded, the best practice is to use responses with only reference sources and limit the response scope . That ensures the model stays tied to approved knowledge and does not invent unsupported product details.
Why the other options are not correct:
* Add filler words to make the prompt sound more natural and conversational does not improve accuracy or consistency.
* Keep the prompt vague to enable model flexibility increases inconsistency.
* Add several open-ended questions to give the model broader context can make responses less focused.
* Remove the knowledge source so that the model responds freely with general product information would reduce reliability and increase hallucination risk.
NEW QUESTION # 103
A company has a Microsoft Power Platform solution that contains the following components:
* Microsoft Dataverse tables
* A Microsoft Power Bl workspace named WS1
* A canvas app named App1 that uses Dataverse
* A Power Bl semantic model that connects to Dataverse by using DirectQuery You plan to use generative Al to provide answers to queries based on a subset of corporate data. You need to ensure that the data is available as a grounding data source for Al systems. What should you do?
Answer: A
Explanation:
The goal is to use generative AI to answer questions based on a subset of corporate data, and to ensure that this data is available as a grounding data source.
The solution includes:
Dataverse tables
a Power BI workspace
a canvas app
a Power BI semantic model using DirectQuery to Dataverse
The best action is D. Endorse the semantic model.
Why D is correct:
Endorsing a semantic model makes it a trusted, discoverable enterprise data asset It is the appropriate step when you want approved corporate data to be used reliably by downstream AI and analytics experiences It fits the requirement of exposing a curated subset of data as a grounding source rather than duplicating or manually exporting it Why the other options are not correct:
A). Export the semantic modelExporting does not make it a governed grounding source.
B). Share WS1Sharing the workspace grants access, but it does not establish the semantic model itself as the trusted data source for grounding.
C). Populate a Dataverse tableThe data already exists and is modeled through the semantic layer; creating another table is unnecessary for this requirement.
NEW QUESTION # 104
Hotspot Question
A company has a Microsoft Copilot Studio agent for customer support. You are reviewing and validating the following prompts:
- A prompt that has instructions to";help the customer as best you ca";
- A prompt that helps retrieve product information from a knowledge
base
You need to ensure that the agent delivers consistent and accurate responses.
What should you do for each prompt? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 105
A company deploys a Microsoft Copilot Studio agent that integrates with a Microsoft Power Automate desktop flow.
You need to recommend a testing solution that meets the following requirements:
Test cases must validate the most recent changes to the agent before the agent is released.
The flow must be validated as part of the agent ' s orchestration.
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.
Answer:
Explanation:
Explanation:
Validate most recent changes # Run tests against the latest unpublished version of the agent; Validate the flow as part of orchestration # Add the flow to the agent as a tool Why the first selection is correct The requirement says the company must validate the most recent changes to the agent before the agent is released. That means testing must happen on the newest working version that has not yet been published to production.
So the correct recommendation is:
Run tests against the latest unpublished version of the agent
This is the safest and most appropriate pre-release testing pattern because it allows the team to:
verify recent changes before users see them
catch regressions early
validate orchestration logic in a controlled state
reduce production risk
From an AI business solutions perspective, pre-release testing is critical for Copilot agents because even small changes in prompts, tools, orchestration, or data connections can affect:
response quality
workflow behavior
escalation paths
compliance behavior
user trust
Testing unpublished changes ensures that governance and quality assurance happen before release, not after deployment.
Why the second selection is correct
The question also requires that the Power Automate desktop flow be validated as part of the agent ' s orchestration.
That means the flow must participate directly in the agent's runtime action path. The correct way to do that is:
Add the flow to the agent as a tool
When a flow is added as a tool, the agent can invoke it during its orchestration. This allows test cases to validate not only the conversational layer, but also the actual execution of the flow inside the end-to-end agent behavior.
From an agentic AI design perspective, tools are how agents connect reasoning with action. If the flow is meant to be part of orchestration, it must be exposed to the agent in a way that allows the agent to call it during task execution.
That is the correct enterprise pattern for validating integrated behavior.
NEW QUESTION # 106
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