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NEW QUESTION # 52
Your company is preparing to adopt Microsoft 365 Copilot and wants to follow Microsoft responsible AI principles. As a business leader, you propose establishing an AI governance council to ensure alignment with the responsible AI principles. What is the primary purpose of the council? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: A
Explanation:
An AI governance council (often called an "AI Council") exists primarily to set direction and provide cross- functional oversight so AI adoption stays aligned to the organization's values, risk posture, and Responsible AI commitments. That maps most directly to D . Microsoft's guidance on creating an AI Council describes leadership responsibilities such as defining and communicating the organization's AI vision, values, and policies , reviewing and approving AI use cases/projects, and coordinating with enablement and technical readiness teams to understand risks, issues, and opportunities. It also emphasizes representation across distinct functions (for example: senior leadership, legal, compliance, risk, ethics, data, technology, business, HR) to ensure governance decisions reflect a broad, accountable perspective.
The other options describe activities that may be supporting outcomes of governance, but they are not the council's primary purpose. A is narrow (IT policy enforcement/user monitoring) and is typically handled by security/compliance operations rather than the top-level governance body. B is user enablement/training (commonly owned by adoption/change management teams). C focuses on technical delivery and performance management (often owned by engineering/MLOps/service owners). The governance council's central value is strategic guidance + oversight + cross-functional alignment to ensure Responsible AI adoption is consistent, accountable, and sustainable across the business.
NEW QUESTION # 53
Your company purchases Microsoft 365 Copilot for its sales department.
The sales department needs to find and summarize information across internal documents quickly.
From which two data sources can the sales department obtain results by default? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
With Microsoft 365 Copilot, the two primary data sources used to ground data with internal documents are:
SharePoint
OneDrive
These sources allow Copilot to access, analyze, and summarize files (such as Word documents, PDFs, Excel files, and PowerPoint presentations) stored within your organization's Microsoft 365 tenant. Other sources mentioned in the context of grounding include Microsoft Teams chat history and emails.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-studio
NEW QUESTION # 54
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 55
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Allowing AI models to make autonomous decisions supports the Microsoft responsible AI principle of accountability. Answer: No
* Regularly testing AI models for fairness and inclusiveness helps ensure they align with Microsoft's Responsible AI principles. Answer: Yes
* Protecting user data and limiting access to personal information supports the Microsoft responsible AI principles of privacy and security. Answer: Yes Microsoft's Responsible AI principles emphasize that people and organizations must remain accountable for AI systems and their outcomes. Accountability is strengthened by governance, human oversight, clear ownership, auditability, and processes to review and address issues-not by letting models make unchecked autonomous decisions. Therefore, statement 1 is No : increasing autonomy can actually increase risk unless paired with human-in-the-loop controls and clear escalation paths, because accountability requires clear responsibility for decisions and impacts.
Statement 2 is Yes because fairness and inclusiveness are explicitly supported through ongoing evaluation.
Regular testing helps detect disparate impact, performance gaps across user groups, and unintended bias introduced by data drift or changes in usage patterns. It's not a one-time activity; it's continuous assurance that the system behaves appropriately as conditions change.
Statement 3 is Yes because privacy and security are directly supported by protecting personal/sensitive data, enforcing least privilege access, and implementing controls such as data loss prevention, encryption, access logging, and strong identity governance. Limiting access to personal information reduces exposure and supports compliance obligations while aligning with privacy-by-design and secure-by-design expectations for AI-enabled solutions.
NEW QUESTION # 56
Your company uses Microsoft 365 Copilot.
You identify several business processes that require custom workflows and specialized automation.
You need to recommend a solution that extends Copilot capabilities while minimizing development effort and costs.
What should you recommend?
Answer: A
Explanation:
To extend Microsoft 365 Copilot while minimizing development effort and costs for business processes requiring specialized automation, you should build a declarative agent by using the
"lite" experience of Microsoft Copilot Studio (often referred to as the Agent Builder).
Declarative Agent (Lite Experience)
Best for: Minimizing effort and cost while staying within the Microsoft 365 ecosystem.
Effort: Low; utilizes a natural language interface where you describe tasks and workflows in plain language.
Capabilities: Adds custom instructions, knowledge (like SharePoint files), and specific actions (API plugins) to the existing Copilot orchestrator.
Cost: Often included with Microsoft 365 Copilot licenses, reducing additional procurement friction.
Incorrect:
[Not A]
Agent with Microsoft Foundry
Best for: Pro-code development, specialized model tuning, and high-scale, multi-agent orchestration.
Effort: High; requires professional developers, data scientists, and specialized skills in languages like Python or C#.
Cost: Higher due to specialized developer resources and Azure consumption-based pricing for models and infrastructure.
[Not C]
Custom Agent (Full Copilot Studio)
Best for: More complex, branched workflows and departmental-scale automation.
Effort: Moderate; involves a low-code, drag-and-drop interface and may require understanding
"Topics" and manual conversation logic.
Capabilities: Offers greater reach, bespoke integrations, and can be published as a standalone bot beyond Microsoft 365 apps.
Reference:
https://peafowlit.com/blog/microsoft-copilot-studio-vs-foundry-ai-agents
NEW QUESTION # 57
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