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| Section | Weight | Objectives |
|---|---|---|
| Manage prompts and conversations using AI | 35–40% | - Design and use effective prompts
|
| Understand generative AI fundamentals | 25–30% | - Generative AI concepts and principles
|
| Draft and analyze business content using AI | 25–30% | - Create and edit business materials
|
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NEW QUESTION # 42
You have an open Microsoft 365 Copilot conversation.
You need to chat with an agent named Agent1 during the conversation.
What should you enter to call Agent1?
Answer: C
Explanation:
In Microsoft 365 experiences, the standard way to invoke or reference people and specific resources in- context is by using the @mention pattern. Microsoft 365 Copilot extends this familiar interaction model to agents: when you want to switch to, invoke, or direct a question to a specific agent from within an existing Copilot conversation, you use @ followed by the agent's name. This makes the agent selection explicit and reduces ambiguity about which assistant or capability you want to use for the next turn.
The other syntaxes listed are commonly associated with different systems: square brackets are not used for agent invocation, hashtags are typically used for topics/tags, and slash commands are used in some chat applications for command execution-but they are not the standard method for calling a Copilot agent in Microsoft 365 Copilot Chat.
Therefore, to chat with an agent named Agent1 during an open Copilot conversation, you should enter
@Agent1 .
NEW QUESTION # 43
A product manager is using Microsoft 365 Copilot to analyze a set of internal documents that describe recent customer feedback about a mobile application. The manager wants Copilot to identify the most common issues customers reported and suggest areas the product team should prioritize.
The manager initially submits the prompt: "Review these documents and summarize them." Copilot generates a high-level summary but does not clearly identify recurring customer issues or actionable recommendations. Which prompt revision would most effectively improve the quality of Copilot's response?
Answer: D
Explanation:
Instruct Copilot to analyze the documents and identify the most frequently mentioned customer issues is correct because effective prompts clearly define the task and the type of analysis required. By specifying that Copilot should identify recurring issues, the user provides clearer guidance that leads to more actionable results.
Reference:
https://learn.microsoft.com/en-us/training/modules/employ-copilot-assistant/3-write-effective-prompts-optimize-copilot-responses
NEW QUESTION # 44
You have several separate Microsoft 365 Copilot conversations.
You need to gather the conversations so that you can find them more easily, and the conversations can share the same reference material.
What is the best solution to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: A
Explanation:
In Microsoft 365 Copilot, notebooks are designed to organize related work into a single, reusable workspace.
A notebook can group multiple Copilot conversations and associate them with shared reference materials (for example, the same set of files, links, or notes). This directly addresses both requirements in the question: (1) making conversations easier to find by collecting them in one place, and (2) enabling those conversations to use the same reference sources for grounding and continuity.
An agent is best when you want a specialized Copilot experience with predefined instructions, capabilities, and (optionally) a configured knowledge source. However, an agent does not primarily function as a
"container" to gather and organize multiple existing conversations.
A page is used to capture and edit output (such as a generated report) for collaboration, not to organize multiple conversations with shared references. An app is a broader product surface and does not solve the conversation organization requirement.
Therefore, the best solution is to use a notebook .
NEW QUESTION # 45
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: B
Explanation:
According to Microsoft AI Business Professional guidance for Microsoft 365 Copilot, grounding a response means ensuring the AI generates output based on specific, authoritative content rather than relying on generalized training data. When working with enterprise documents such as proposals, grounding is achieved by explicitly referencing the source material within the prompt.
Option C is correct because referencing the proposal content directs Copilot to use that specific document as the primary context for generating the response. Microsoft documentation emphasizes that effective prompts should include clear context and explicit references to relevant files, meetings, emails, or documents stored in Microsoft 365. This reduces hallucinations and ensures factual alignment with organizational data.
Option A is incorrect because relying on training data increases the risk of inaccurate or fabricated information. Options B and D improve prompt clarity but do not guarantee grounding in the proposal itself.
Therefore, explicitly referencing the proposal content is the most reliable and best practice method for ensuring grounded, accurate responses in Microsoft 365 Copilot.
NEW QUESTION # 46
You create an agent in the Microsoft 365 Copilot app by using a template.
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:
When creating an agent in the Microsoft 365 Copilot app using a template, administrators or authorized users can configure specific behaviors and knowledge sources for the agent. Therefore, it is correct that you can choose which knowledge sources the agent can use. This ensures proper grounding in approved Microsoft 365 data such as SharePoint sites, OneDrive folders, or other organizational repositories. Controlling knowledge sources supports responsible AI principles, including data security, relevance, and compliance.
Agents created within Microsoft 365 are designed primarily for internal organizational use. As a result, sharing the agent with users inside the organization is supported, enabling collaboration and productivity improvements across teams.
However, sharing the agent with external users is not supported by default. External sharing would introduce security and compliance risks, so Microsoft enforces tenant-level boundaries to protect enterprise data.
These capabilities reflect best practices in managing AI prompts and agents securely within enterprise environments.
NEW QUESTION # 47
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