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Microsoft AB-730 Exam Overview:

Certification Vendor:Microsoft
Exam Name:AI Business Professional
Exam Number:AB-730
Exam Duration:45 minutes
Exam Format:Scenario-based, Multiple select, Multiple choice, Interactive items
Passing Score:700 (scaled score out of 1000)
Certificate Validity Period:1 year
Exam Price:$99 USD / €76 EUR
Available Languages:Japanese, English, Chinese (Simplified), German, Korean, Spanish, French, Portuguese (Brazil)
Real Exam Qty:40–60
Recommended Training:Microsoft Learn: AI Business Professional Learning Path
Exam Registration:Pearson VUE
Sample Questions:Microsoft AB-730 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended experience using Microsoft 365 and generative AI tools
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-730

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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
  • 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.
Topic 3
  • 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.

Microsoft AI Business Professional Sample Questions (Q28-Q33):

NEW QUESTION # 28
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,D

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 # 29
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: D

Explanation:
To get the most out of a custom analytics agent in Microsoft 365 Copilot for Excel sales data, use a structured prompt that defines the goal, context, and specific output format. For the best results, ensure your data is formatted as an Excel Table.
Suggested Comprehensive Prompt
"Analyze the sales data in this file to identify the top 5 performing products by total revenue and regional growth. Perform a mathematical operation to calculate a new column for 'Profit Margin' (Revenue minus Cost), then aggregate the total sales and average profit margin by 'Sales Representative' and 'Region.' Finally, create a professional dashboard on a new sheet featuring a bar chart for product revenue and a line graph showing monthly sales trends over the last 12 months." Breakdown of Prompt Capabilities Visualizations: Ask for specific chart types (e.g., "Visualize this as a bar chart" or "Create a line graph") to help spot trends.
Mathematical Operations: Request new columns based on existing data (e.g., "Create a column for the difference between 'Projected' and 'Actual' sales").
Aggregations: Use natural language to summarize data (e.g., "Calculate the total sales by region") or generate PivotTables for deeper grouping.
Reference:
https://support.microsoft.com/en-us/office/get-insights-about-numerical-data-with-copilot-in-excel-
52d97339-86c0-431c-b46c-e7b07b2898dd


NEW QUESTION # 30
You are comparing the difference between Microsoft 365 Copilot and Microsoft 365 Copilot Chat.
What is available in both versions?

Answer: A

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 # 31
Which of the following is a key capability of Natural Language Processing (NLP)?

Answer: B

Explanation:
NLP allows machines to read, understand, and generate human language, enabling AI systems to interact with users through text and speech. It's used in applications such as chatbots, sentiment analysis, and language translation.


NEW QUESTION # 32
You use Microsoft 365 Copilot.
You discover that you had a conversation that used a knowledge source that contains confidential information.
You need to delete the conversation data without requiring administrative approval. You must retain your other conversations, if possible.
What should you use?

Answer: C

Explanation:
Without administrator permissions, you can delete Microsoft 365 Copilot chat data containing confidential information through the My Account portal (myaccount.microsoft.com).
Steps to delete the data:
1. Sign in to the My Account portal with your work or school account.
2. Navigate to Settings & Privacy > Privacy > Data options.
3. Open the Copilot activity history section.
4. Select Delete history, check the box for Microsoft 365 Copilot, and click Delete.
Reference:
https://support.microsoft.com/en-us/office/delete-your-microsoft-365-copilot-activity-history-76de8afa-5eaf-43b0-bda8-0076d6e0390f


NEW QUESTION # 33
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