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| Section | Weight | Objectives |
|---|---|---|
| Plan AI-powered business solutions | 25–30% | - Analyze requirements for AI-powered business solutions
|
| Design AI-powered business solutions | 25–30% | - Orchestrate configuration
|
| Deploy AI-powered business solutions | 40–45% | - Implement security, governance, compliance
|
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NEW QUESTION # 14
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: D
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 # 15
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company has a team that analyzes its customers by using a manual process.
You are designing an AI-based agent to automate and improve the process.
You need to recommend on which platform to build the agent.
The solution must meet the following requirements:
* Use generative AI to answer common questions.
* Provide analytics to review AI performance.
* Identify customer demographics.
* Minimize custom development.
Solution: You recommend Microsoft Security Copilot.
Does this meet the goal?
Answer: B
NEW QUESTION # 16
You need to design a shared prompt library that will be used across multiple business units. The solution must meet the following requirements:
Ensure consistent AI responses with reusable formats.
Support governance and version control.
Minimize administrative effort.
Minimize ongoing costs.
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:
Ensure consistent AI responses # Define standardized prompt templates; Support governance and version control # Store prompts in a Git repository The requirement says the shared prompt library must ensure consistent AI responses with reusable formats.
The best way to achieve that is to create standardized prompt templates.
Standardized templates help multiple business units use the same structure for:
system instructions
response style
output formatting
safety guidance
business terminology
escalation behavior
This is important in AI-powered business solutions because prompt variability often leads to inconsistent outputs. A shared template approach creates repeatability and reduces drift across departments.
From an enterprise AI design perspective, standardized prompt templates improve:
response consistency
quality control
reusability
onboarding speed
compliance alignment
They also minimize administrative effort because teams do not need to invent new prompt structures from scratch.
Why "Store prompts in a Git repository" is correct
The requirement says the solution must support governance and version control while minimizing effort and cost.
A Git repository is the most appropriate answer because it provides:
version history
change tracking
rollback capability
collaboration support
approval workflows
auditability
This directly supports governance. It allows the organization to know:
who changed a prompt
what changed
when it changed
why it changed
That is extremely valuable for enterprise AI operations, especially when prompts influence business decisions, customer interactions, compliance behavior, or internal process automation.
Git also minimizes ongoing cost because it uses standard development and content management practices rather than requiring a separate expensive governance platform for prompt assets.
Why the other options are incorrect
Delegate department-specific prompt templates
This reduces consistency instead of improving it. Different departments creating their own templates introduces fragmentation, style drift, and governance challenges.
Maintain a prompt history
Keeping a history is useful, but it does not by itself ensure consistent reusable formats. It is more of a recordkeeping activity than a standardization mechanism.
Categorize prompts by business function
Categorization is helpful for organization and discoverability, but it does not provide version control or governance by itself.
Define standardized prompt templates for governance/version control
Standardization improves consistency, but version control specifically requires a system for tracking and managing changes. That is why Git is the better answer for the governance requirement.
Expert reasoning
A shared enterprise prompt library should usually follow this pattern:
Consistency and reuse # standard templates
Governance and versioning # Git-based repository
Low cost and low admin overhead # reuse existing tooling and centralized controls
NEW QUESTION # 17
A company has Microsoft Copilot Studio agents.
The company plans to deploy custom connectors across development, test and production environments.
You need to design an application lifecycle management (ALM) process to ensure consistency and prevent direct editing in production.
Which two actions should you include in the design? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Core ALM Actions
To ensure consistency and governace, include these actions in your design:
1. Environment & Solution Strategy
[A] *-> Three-Environment Model: Establish a dedicated Development (unmanaged), Test/UAT (managed), and Production (managed) environment.
Solution Packaging: Create agents and custom connectors directly inside a Power Platform Solution.
[D] *-> Managed Solutions: Always export your solution as Managed when moving to Test and Production. This locks the components, preventing direct editing in those environments.
Reference:
https://www.m365princess.com/blogs/copilot2
NEW QUESTION # 18
A company has a Microsoft Power Platform environment that contains Microsoft Dataverse data.
You create a Microsoft Copilot Studio agent named Agent1 that processes the Dataverse data.
You discover that Agent1 fails to return relevant or accurate results. You need to improve the quality and reliability of data grounding. What should you do?
Answer: B
Explanation:
If a Copilot Studio agent that uses Dataverse is returning poor or irrelevant results, the most likely issue is weak or inconsistent grounding data.
The best corrective action is C. Verify and cleanse the Dataverse data.
Why C is correct:
Grounded AI quality depends heavily on source data quality
Incomplete, inconsistent, duplicated, outdated, or badly structured Dataverse records will lead to poor answers Cleansing and validating the data improves both relevance and reliability without requiring unnecessary model changes
NEW QUESTION # 19
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