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NEW QUESTION # 70
You are creating an agent in the Microsoft 365 Copilot app.
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:
Microsoft 365 Copilot agents are designed to integrate with Microsoft 365 data sources and provide flexible, natural-language-driven configuration. Agents can be connected to organizational data such as SharePoint, OneDrive, and Exchange. Since shared mailboxes are part of Exchange Online and accessible through Microsoft Graph (subject to permissions), agents can be configured to search shared mailboxes, making Statement 1 correct.
Microsoft also enables natural language creation of agents , allowing users to describe what the agent should do, its purpose, and behavior using conversational instructions rather than requiring code. This simplifies agent creation and aligns with Copilot's low-code/no-code approach, so Statement 2 is correct.
However, agents cannot use other agents as knowledge sources. Knowledge sources are limited to structured content such as files, sites, and data repositories. Agents operate independently rather than being nested or chained as data sources, making Statement 3 incorrect.
Thus, the correct answers are Yes, Yes, No .
NEW QUESTION # 71
You are creating a prompt in Microsoft 365 Copilot to get information about a proposal.
You need to ensure that the response is grounded in the proposal's information.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: D
Explanation:
To create an effective prompt grounded in a specific proposal, use Microsoft 365 Copilot's "slash command" feature to directly reference the file.
Creating the Grounded Prompt
A successful grounded prompt follows the Goal, Context, Expectations, Source framework.
Reference the Source: Start your prompt or include at the end a reference to the specific proposal by typing "/" followed by the filename (e.g., /[Proposal_Name].docx).
Define the Goal: State exactly what information you need (e.g., "Summarize the key deliverables").
Provide Context: Explain why you need it (e.g., "for an upcoming client kickoff meeting").
Set Expectations: Specify the format, tone, and length (e.g., "in a bulleted list of 5 items").
Example Prompt
"Based on /[Project_Proposal_v2.docx], summarize the primary project goals and list the three highest-risk items. Use a professional tone and format the response as a short executive summary for my leadership team." Reference:
https://alistar.net/en/blog/prompting-in-microsoft-copilot
NEW QUESTION # 72
You sign in to the Microsoft 365 Copilot app by using your work account as shown in the following exhibit
A colleague tells you that when they open the Microsoft 365 Copilot app, they have access to the Researcher agent. You need to access to the Researcher agent.
What should you do?
Answer: A
Explanation:
In Microsoft 365 Copilot, agents such as Researcher are accessed through the Agents experience within the Copilot app. If the user interface does not immediately display a specific agent, the correct action is to browse or search the available agents catalog. The exhibit shows the left navigation pane with an Explore agents option.
According to Microsoft AI Business Professional guidance, built-in and custom agents can be discovered and enabled through the Explore agents section. If the user already has the appropriate Copilot license and is signed in with their work account, there is no need to switch accounts or request another license.
Signing in through a browser does not change feature availability, and using a personal account would remove access to organizational features. Therefore, to access the Researcher agent, you should select Explore agents and search for Researcher.
NEW QUESTION # 73
You are discussing Microsoft 365 Copilot with a colleague. The colleague asks which data Copilot uses to answer questions when using the Work scope.
What should you tell your colleague?
Answer: C
Explanation:
Microsoft 365 Copilot operates within two primary knowledge boundaries: its foundational large language model training data and the organizational data available within the Microsoft 365 tenant. However, Copilot strictly enforces Microsoft's security and compliance model, meaning it only retrieves and uses data that the signed-in user is authorized to access.
When using the Work scope, Copilot combines the general knowledge it was trained on with organizational data such as documents, emails, chats, calendars, and files stored in Microsoft 365. Importantly, Copilot respects role-based access control and existing permissions. It does not surface information from content the user does not have access to.
Option A is incomplete because Work scope includes organizational data. Option B is incorrect because Copilot does not access all tenant data indiscriminately; it is permission-scoped. Option D is incomplete because Copilot also leverages its general training knowledge.
Therefore, the correct explanation is that Copilot provides responses based only on data the user can access, combined with its general training knowledge.
NEW QUESTION # 74
What is the purpose of a recommendation system in AI?
Answer: B
Explanation:
Recommendation systems use algorithms to analyze past behaviors and preferences to suggest products, services, or content that users are likely to be interested in. Commonly used by e- commerce sites, streaming platforms, and digital content providers.
NEW QUESTION # 75
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