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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage prompts and conversations by using AI | 35-40% | - Conversation management
|
| Topic 2: Understand generative AI fundamentals | 25-30% | - Microsoft AI solutions
|
| Topic 3: Draft and analyze business content by using AI | 25-30% | - Content creation
|
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質問 # 63
A product strategy team uses Microsoft 365 Copilot to analyze customer feedback documents and internal meeting notes stored in Microsoft 365. The team wants Copilot to generate structured insights that help prioritize product improvements and identify recurring customer concerns.
When designing prompts, the team wants to ensure Copilot produces focused and actionable responses. Which prompt design practices would most improve the effectiveness of Copilot responses? (Select TWO)
正解：C、E
解説：
Clearly describe the objective of the prompt and the specific task Copilot should perform is correct because effective prompts explicitly define the task or objective. Clear instructions help Copilot understand what analysis or output is required, resulting in more relevant responses.
Provide relevant contextual information that helps Copilot interpret the request accurately is correct because contextual information improves Copilot's ability to generate responses aligned with the user's intent. Including context such as the subject matter, data scope, or desired outcome leads to more useful insights.
Reference:
https://learn.microsoft.com/en-us/training/modules/employ-copilot-assistant/3-write-effective-prompts-optimize-copilot-responses
質問 # 64
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
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.
質問 # 65
You are a medical researcher.
You need to ensure that Microsoft 365 Copilot responds to you in a professional manner that is appropriate to your field.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
正解：B
解説：
You can use the Custom instructions feature to tailor Microsoft 365 Copilot's behavior specifically for the medical or healthcare field. By configuring these settings, you ensure Copilot adopts a specific persona, tone, and formatting style across all your interactions without needing to repeat those requirements in every prompt.
How to Configure Custom Instructions
1. Access Settings: In the Microsoft 365 Copilot Chat interface (web, Teams, or Outlook), click the three dots (...) or the gear icon in the top-right corner.
2. Navigate to Personalization: Select Settings, then go to the Personalization tab.
3. Edit Instructions: Find the Custom instructions tile and select Edit instructions.
4. Define Your Field: Fill in the two main fields:
4a. What would you like Copilot to know about you?: Enter your role (e.g., "I am a clinical researcher" or "I am a general practitioner") and your area of expertise.
4b. How would you like Copilot to respond?: Specify the medical tone (e.g., "Use formal medical terminology," "Always provide citations from peer-reviewed sources," or "Format summaries as clinical SOAP notes").
5. Save: Select Save instructions to apply these preferences globally to your Copilot experience.
Reference:
https://support.microsoft.com/en-gb/topic/customize-how-microsoft-365-copilot-responds-to-you-
8b826c0d-eb78-493e-a30d-4490ec1c4b9e
質問 # 66
Hotspot Question
You have a Microsoft 365 Copilot conversation as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes the statement based on the information presented in the graphic.
正解：
解説：
質問 # 67
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.
正解：
解説：
Explanation:
Box 1: Researcher agent
Prompt 1: Explain the differences between Contoso, Ltd, and Litware, Inc. Include sources and a table of the differences. Provide insights into why the differences exist.
You should use the Researcher agent in Microsoft 365 Copilot.
The Researcher is designed for deep, multi-step research tasks that require analyzing information from both the web and internal company data to generate comprehensive reports, including structured tables and sourced insights.
Why Researcher Agent? It acts as a specialized assistant for complex, multi-step research projects. It is specifically built to aggregate information from various sources (web + internal), synthesize it, and present insights in a structured format. It is ideal for competitor analysis, market research, and understanding the "why" behind differences.
Box 2: Analyst agent
Prompt 2: From /Sales_2022.xlsx From /Sales_2023.xlsx From /Sales_2024.xlsx, create a pivot table of revenue and product, highlight MoM changes > 10%, and recommend 3 follow-up analyses.
You should use the Analyst agent.
The Analyst agent is specifically designed for deep reasoning over structured data like Excel files.
Multi-file Analysis: It can consolidate and analyze data across multiple files (e.g., three years of sales) to identify trends and outliers.
Advanced Operations: It uses chain-of-thought reasoning and Python to perform complex calculations, such as Month-over-Month (MoM) percentage changes, which go beyond simple summaries.
Actionable Outputs: It specializes in generating visualizations, summaries, and recommending follow-up steps based on identified data patterns.
Box 3: Chat
Prompt 3: Generate a structured action plan from ongoing meeting chat, grouping tasks by functional area, identifying owners where mentioned, and including any implied deadlines and dependencies.
To get the most accurate and structured result for this specific request, you should use Chat (specifically the Microsoft 365 Copilot chat interface, often found in Teams or the M365 app).
Here is why Chat is the correct choice compared to the specialized agents:
Context Awareness: The standard Chat interface is designed to pull data across your "M365 Graph." It has the native ability to scan your recent Teams meeting transcripts and meeting chats.
Synthesis Skills: While the Analyst agent is great for Excel/data processing and the Researcher is best for web-based trends, the core Chat function is optimized for summarization and extraction from internal communication.
Task Identification: Copilot Chat is specifically trained to recognize "action-oriented" language (e.g., "I'll take care of that" or "Due by Friday") within a conversation.
質問 # 68
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