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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Agentic AI Business Solutions Architect |
| Exam Number: | AB-100 |
| Certificate Validity Period: | 1 year (annual renewal via free online assessment) |
| Available Languages: | English |
| Real Exam Qty: | 40–60 |
| Related Certifications: | Microsoft Certified: Power Platform Functional Consultant Associate Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Dynamics 365 Certified |
| Exam Price: | $165 USD |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple response, Case studies, Interactive items, Multiple choice, Scenario-based |
| 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 # 53
A company has Microsoft Power Platform development staging, and production environments. Each environment has its own Microsoft Dataverse tables and Azure Al Search index.
You are designing an application lifecycle management (ALM) process to deploy a Microsoft Copilot Studio agent between the environments.
The company has a Copilot Studio agent named Agent! in development. Agent1 uses the following grounding data sources:
* A Dataverse table named CustomerOrders
* An Azure Al Search index named customer-knowledge
You need to deploy Agent1 to production. The solution must ensure that the agent uses the production grounding data sources, minimizes downtime, and handles credentials and endpoints securely.
What should you include in the deployment package solution, and what should you reconfigure after the deployment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
In a proper ALM deployment for Microsoft Copilot Studio across development, staging, and production, you should package the agent in a way that is portable across environments while avoiding hardcoded endpoints, indexes, table targets, or credentials.
Here, Agent1 uses:
a Dataverse table: CustomerOrders
an Azure AI Search index: customer-knowledge
Because each environment has its own Dataverse tables and Azure AI Search index, the deployment package should not carry over the development environment's live connections as fixed production settings. Instead, it should carry the agent and the references needed so the target environment can bind to its own production resources.
That is why the correct recommendation is:
Deployment package: Agent1 and references to the data sources
After deployment: Reconfigure the environment variables
Why this is correct:
Environment variables are the standard ALM-friendly way to externalize settings like:
endpoints
index names
table references
connection-related values
This supports secure handling of credentials and endpoints
It also helps minimize downtime, because production values can be switched cleanly after import without rebuilding the agent Why the other choices are weaker:
Agent1 only would omit needed source references
The data sources only would not deploy the actual agent
Agent1 and the data source connections risks carrying environment-specific connection bindings Agent1, the data sources, and the data source connections is too tightly coupled to the source environment and is not the best ALM design for secure cross-environment deployment Reconfiguring only Dataverse or only Azure AI Search is incomplete because both can vary by environment Reconfiguring Agent1 configuration is broader and less precise than using environment variables
NEW QUESTION # 54
A company uses Microsoft 365 and Dynamics 365.
You need to recommend a solution to 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 a Microsoft 365 Copilot agent template.
Does this meet the goal?
Answer: B
NEW QUESTION # 55
You need to recommend a security solution for agents in a Microsoft Power Platform environment.
The agents must use only approved connectors and services. The solution must prevent the agents from accessing sensitive data.
What should you recommend?
Answer: A
Explanation:
In a Power Platform environment, DLP policies act as the primary guardrail for controlling how data is shared across services and connectors. Here is how they address your specific requirements:
Approved Connectors: DLP policies allow administrators to categorize connectors into three groups: Business, Non-Business, and Blocked. By moving only "approved" connectors into the Business group and blocking others, you ensure agents can only use authorized tools.
Preventing Access to Sensitive Data: You can use DLP policies to prevent the mixing of data between groups. For example, if a "Business" connector (like SharePoint) and a "Non-Business" connector (like Twitter/X) are in different groups, the policy will prevent an agent from creating a flow that moves data from the sensitive business source to the public service.
Granular Control: Modern DLP policies also support Connector Action Control, allowing you to block specific actions (like "Delete") within an approved connector while allowing others.
NEW QUESTION # 56
A manufacturing company wants to deploy an agent that will automate supplier invoice processing.
You are designing a solution to evaluate the financial implications of the deployment. The company is especially concerned about budget overruns.
You need to ensure that the solution considers the total cost of ownership (TCO), the expected savings from using automation, and whether to extend the existing AI capabilities.
What should you include in the design?
Answer: D
Explanation:
This design plan outlines the financial and operational framework for deploying a Microsoft-based AI agent for supplier invoice processing. By leveraging current industry benchmarks and Microsoft's own agentic AI frameworks, this plan focuses on maximizing Return on AI Investment (ROAI) while mitigating the risk of budget overruns.
Reference:
https://www.investing.com/news/swot-analysis/microsofts-swot-analysis-cloud-and-ai-fuel-growth-but-challenges-loom-93CH-4197719
NEW QUESTION # 57
A company has a Microsoft Foundry generative Al model.
You need to evaluate the model ' s output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
Answer: C
Explanation:
The requirement says the evaluation must:
measure overall quality and coherence of generated responses
use GPT-4o as a judge
return a numeric score for each output
That maps directly to AI quality (AI assisted).
Why D is correct:
AI-assisted quality metrics use a strong model such as GPT-4o to evaluate generated outputs against qualitative dimensions like coherence, relevance, completeness, and overall response quality, and then assign scores.
Why the other options are not correct:
A). Groundedness checks whether the answer is supported by the source/context, not overall quality and coherence.
B). AI quality (NLP) usually refers to traditional NLP-style metrics rather than judge-model scoring with GPT-
4o.
C). risk and safety evaluates harmfulness, toxicity, jailbreak risk, or policy concerns, not overall response quality.
NEW QUESTION # 58
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