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NEW QUESTION # 23
Hotspot Question
You plan to create an agent by using 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:
NEW QUESTION # 24
You are comparing the difference between Microsoft 365 Copilot and Microsoft 365 Copilot Chat.
What is available in both versions?
Answer: A
Explanation:
Microsoft distinguishes Microsoft 365 Copilot (the full, licensed experience integrated across Microsoft 365 apps and Microsoft Graph) from Microsoft 365 Copilot Chat (the chat-first experience available more broadly). Some advanced capabilities-especially those tied to specialized agents and persistent work organization-are typically associated with the full Copilot license.
The Researcher agent is an advanced capability and is not consistently available in Copilot Chat across tenants because it is treated as a premium agent experience. Copilot Notebooks are also a structured organization feature used to group conversations and share reference materials; this is typically positioned as part of the full Microsoft 365 Copilot experience.
Copilot Pages , however, is the collaborative, editable canvas used to refine, organize, and share Copilot- generated content. Pages is designed to work alongside Copilot Chat so users can move from a chat response into an editable artifact for collaboration and reuse. This makes Pages the feature most commonly available in both the full Microsoft 365 Copilot and Microsoft 365 Copilot Chat experiences.
Therefore, the best answer is Copilot Pages .
NEW QUESTION # 25
You are creating a custom analytics agent in the Microsoft 365 Copilot app. The agent will use Microsoft Excel files that contain sales data as knowledge.
You need to ensure that the agent can create visualizations, perform mathematical operations, create aggregations, and analyze the data in the files.
What should you add to the agent?
Answer: B
Explanation:
When building a custom analytics agent in Microsoft 365 Copilot that must process structured data from Excel files, advanced analytical capabilities are required. According to Microsoft AI Business Professional guidance, tasks such as performing mathematical calculations, generating aggregations, creating charts, and conducting structured data analysis require programmatic execution capabilities rather than simple text generation.
A code interpreter enables the agent to run Python-based analytical operations in a secure execution environment. This allows the agent to manipulate datasets, compute totals and averages, perform grouping and filtering, and generate visualizations such as bar charts or line graphs based on the Excel data. The interpreter bridges the gap between natural language instructions and executable analytical logic.
An image generator is designed for creative visual content and is unrelated to structured data analytics.
Suggested prompts and templates improve usability and consistency but do not provide computational or visualization capabilities.
Therefore, to enable mathematical operations, aggregation, data analysis, and visualization of Excel sales data, the correct component to add to the agent is a code interpreter.
NEW QUESTION # 26
You use Microsoft 365 Copilot to create a proposal in Microsoft Word based on a document in a Microsoft SharePoint library.
You need to ensure that the information cited in the proposal is accurate.
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:
Manually verifying citations is the essential final step to ensure accuracy. While Microsoft 365 Copilot can draft complex proposals by grounding its content in SharePoint files, it is not a "set- and-forget" tool.
Why Manual Verification is Critical
Preventing Hallucinations: Even when referencing your own files, AI can sometimes produce
"confidently wrong" or incomplete information.
Citation Links: Copilot provides source links (citations) to the files it used; clicking these to cross- reference the generated text against the original document is the standard best practice for validation.
Format Accuracy: Copilot can generate bibliographies and style-specific citations (like APA or MLA), but users must still confirm they meet specific project requirements.
Reference:
https://blog.quest.com/7-best-practices-for-copilot-for-microsoft-365
NEW QUESTION # 27
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 # 28
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