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| Section | Weight | Objectives |
|---|---|---|
| Understand generative AI fundamentals | 25-30% | - Microsoft AI solutions
|
| Manage prompts and conversations by using AI | 35-40% | - Prompt engineering
|
| Draft and analyze business content by using AI | 25-30% | - Data analysis and productivity
|
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NEW QUESTION # 84
You are comparing the difference between Microsoft 365 Copilot and Microsoft 365 Copilot Chat.
What is available in both versions?
Answer: A
NEW QUESTION # 85
Hotspot Question
You have a Microsoft 365 Copilot license.
You plan to run several prompts.
What should you use to ensure that Copilot generates the best response for each prompt? More than one answer choice may achieve the goal. To answer, select the BEST options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 86
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 is designed to be helpful by using work context-for example, the files you have access to, recent activity, meetings, emails, and SharePoint/OneDrive content-to suggest relevant prompts and help you start tasks faster. It also uses this context to augment your prompt before it is sent to the LLM.
This is the grounding approach (often described as retrieval-augmented generation): Copilot retrieves relevant organizational content you're permitted to access and adds it as supporting context so responses are accurate and business-relevant. However, Microsoft 365 Copilot does not use your organization's contextual data to train the underlying foundation model. That separation is critical for enterprise privacy and compliance:
your prompts, responses, and tenant data are used to generate the answer for your session and permissions, but are not used to improve or retrain the base LLM. This approach supports responsible AI, protects confidential business information, and ensures outputs respect access controls.
NEW QUESTION # 87
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:
Statements:
You can add a Microsoft Teams chat as a knowledge source to a Microsoft 365 Copilot agent.
The answer: Yes
You can add a Microsoft 365 Copilot conversation as a knowledge source to a Copilot agent.
The answer: No
You can use an image file, such as a JPG file, as a knowledge source for a Microsoft 365 Copilot agent.
The answer: NO
Microsoft 365 Copilot Agent Builder supports grounding agents in approved knowledge sources so responses are accurate and permission-trimmed. Teams chats can be used as a knowledge source: Microsoft Learn confirms you can ground an agent in Teams data, including chat messages (and optionally scope to specific chats), enabling the agent to reference collaboration context when answering questions.
A Copilot conversation itself is not a supported "knowledge source" option; knowledge sources are configured from items like SharePoint content, Teams, email, websites, uploaded files, and connectors-not prior chat transcripts.
Finally, JPG images are not supported as knowledge-source file types. Microsoft's supported file types for agent knowledge include documents like .doc/.docx, .pdf, .ppt/.pptx, .txt, and Excel formats (.xls/.xlsx), but not image formats. Therefore, you cannot use a JPG as a knowledge source for a Copilot agent.
NEW QUESTION # 88
You are creating a custom agent in the Microsoft 365 Copilot app for the marketing team at your company. The agent will be used to produce marketing collateral, including copy, logos, and artwork.
What should you add to the agent? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: C
Explanation:
When building a custom agent in Microsoft 365 Copilot for marketing use cases, the required capabilities must align with the intended outputs. Marketing collateral includes written copy as well as visual assets such as logos and artwork. According to Microsoft AI Business Professional documentation, generative AI solutions that produce visual creative assets require integrated image generation capabilities powered by multimodal AI models.
Option C is correct because an image generator enables the agent to create visual marketing materials such as logos, artwork, and design elements. While templates and suggested prompts can improve usability and consistency, they do not provide the underlying capability to generate images. A code interpreter is designed for data analysis, calculations, or technical scripting tasks and is not relevant to creative marketing asset production.
Therefore, to fulfill the requirement of producing both textual and visual marketing collateral, the most essential addition to the custom agent is an image generator.
NEW QUESTION # 89
......
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