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Microsoft AB-730 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Manage prompts and conversations by using AI: This domain focuses on creating effective prompts, managing and sharing them, handling chat conversations, and creating and configuring custom Copilot agents with appropriate settings and knowledge bases.
Topic 2
  • Understand generative AI fundamentals: This domain covers Microsoft 365 Copilot's operation, data privacy, context influence on responses, chat versus agent experiences, and feature differences across apps. It addresses responsible AI practices including risk identification, verification methods, and data protection restrictions.
Topic 3
  • Draft and analyze business content by using AI: This domain covers creating documents from prompts or existing files, generating summaries, transferring data between apps, using Copilot for meetings and collaboration, and leveraging memory for personalized assistance.

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Microsoft AI Business Professional Sample Questions (Q27-Q32):

NEW QUESTION # 27
In a Microsoft 365 Copilot conversation, you generate a report, and then edit the report in a page.
You need to collaborate with a colleague on the report.
What are two ways to achieve the goal? Each correct answer presents a complete the solution.
NOTE: Each correct selection is worth one point.

Answer: A,B

Explanation:
Collaborating with a colleague on a report generated by Microsoft 365 Copilot is best achieved by transforming the initial AI response into an editable, shared document or using "Copilot Pages" for real-time collaboration.
Here are the best methods to collaborate on a report while editing it:
1. Use Copilot Pages for Real-Time Collaboration
Copilot Pages are specifically designed to turn AI responses into a persistent, shareable, and editable canvas.
Convert to Page: Once Copilot generates the report in the chat panel, look for an option to open or transfer it into a Page (often via an "Edit in pages" or similar button).
[C] *-> Share the Page: Select the Share button on the page to send a link to your colleague.
Co-edit in Real Time: Both you and your colleague can edit the text, and Copilot can update the content based on input from either of you. Changes are synchronized in real time.
Persistent Collaboration: The page persists even after the chat session ends, allowing continuous work.
2. Export to Word for Traditional Co-authoring
If you require more advanced formatting or prefer traditional document editing, you can move the report to Word.
[B] *-> Open in Word: If the report was generated in a Teams meeting or chat, click Open in Word.
Share the File: Use standard Word sharing functionality to grant your colleague access, allowing you both to co-author the document simultaneously in real time.
Use Copilot in Word: Your colleague can also use the Copilot pane within the Word document to add sections, rewrite, or summarize the report.
Reference:
https://support.microsoft.com/en-us/office/document-collaboration-and-co-authoring-ee1509b4-1f6e-401e-b04a-782d26f564a4#


NEW QUESTION # 28
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 # 29
You are comparing the difference between Microsoft 365 Copilot and Microsoft 365 Copilot Chat.
What is available in both versions?

Answer: B

Explanation:
A key feature available in both Microsoft 365 Copilot and Microsoft 365 Copilot Chat is Enterprise Data Protection (EDP), which ensures that user data and prompts are not used to train the underlying AI models.
Both versions also support key productivity features when signed in with a work or school account, including:
Web-grounded chat: Both can generate answers based on public web data and the latest Large Language Models (LLMs).
File Uploads: Both allow users to upload files to summarize or analyze.
Image Generation: Both can create images directly in the chat interface.
*-> Copilot Pages: Both allow users to turn AI-generated responses into editable, shareable documents.
Contextual Awareness: Both can understand the context of an open file (Word, Excel, PowerPoint) or email (Outlook) in the side pane.
Reference:
https://support.microsoft.com/en-us/topic/how-copilot-chat-works-with-and-without-a-microsoft-365-copilot-license-5810b659-fbe0-48ee-9fe6-d731fe86cdeb


NEW QUESTION # 30
You join an internal Microsoft Teams meeting late and want to catch up on what you missed. The meeting is being recorded. You need to summarize the portion of the meeting that you missed as soon as possible.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.

Answer: C

Explanation:
Microsoft 365 Copilot in Teams is designed to provide real-time meeting assistance, including summarizing discussions, identifying key decisions, and highlighting action items. When joining a meeting late, the most efficient and immediate method to catch up is to directly prompt Copilot within the Teams meeting experience.
Option A is the best answer because Copilot in Teams can summarize what has occurred so far during the live meeting. It leverages the meeting transcript, speaker attribution, and contextual signals to generate a concise, structured summary in real time. This minimizes delay and provides actionable insights instantly.
Reading the transcript (Option B) would require manual review and is not the fastest method. Intelligent recap (Option D) is typically available after the meeting concludes and processes recording data. Asking Copilot from the separate Microsoft 365 Copilot app (Option C) may not provide immediate, in-meeting contextual awareness.
Therefore, the fastest and most effective approach is to ask Copilot in Teams to summarize what you missed.


NEW QUESTION # 31
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)

Answer: A,B

Explanation:
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


NEW QUESTION # 32
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