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Microsoft AB-730 Exam Syllabus Topics:

Section	Weight	Objectives
Manage prompts and conversations using AI	35–40%	- Design and use effective prompts 1. Prompt structure and best practices 2. Save, schedule, and share prompts 3. Select and reference resources in prompts - Create and manage Copilot agents 1. Configure knowledge, instructions, and settings 2. Agent Store vs custom creation 3. Share and manage agent access 4. Create agents from templates - Manage AI conversations 1. Collaborate using AI conversations 2. Find, rename, and delete conversations 3. Organize and store conversation history
Draft and analyze business content using AI	25–30%	- Analyze and interpret data and insights 1. Extract insights from documents and data 2. Move content and insights between apps 3. Visualize and summarize information - Support meetings and collaboration 1. Capture and organize meeting notes 2. Use Copilot for meeting preparation and follow-up 3. Enhance teamwork and communication - Create and edit business materials 1. Generate documents, presentations, and communications 2. Work with existing content and summaries 3. Translate and adapt content
Understand generative AI fundamentals	25–30%	- AI capabilities in Microsoft 365 1. Microsoft 365 Copilot features and functions 2. Copilot context and data handling 3. Differences between chat and agent experiences - Generative AI concepts and principles 1. Responsible AI principles 2. Security and privacy in AI systems 3. Core capabilities and use cases

Section

Weight

Objectives

Manage prompts and conversations using AI

35–40%

- Design and use effective prompts

1. Prompt structure and best practices
2. Save, schedule, and share prompts
3. Select and reference resources in prompts

- Create and manage Copilot agents

1. Configure knowledge, instructions, and settings
2. Agent Store vs custom creation
3. Share and manage agent access
4. Create agents from templates

- Manage AI conversations

1. Collaborate using AI conversations
2. Find, rename, and delete conversations
3. Organize and store conversation history

Draft and analyze business content using AI

25–30%

- Analyze and interpret data and insights

1. Extract insights from documents and data
2. Move content and insights between apps
3. Visualize and summarize information

- Support meetings and collaboration

1. Capture and organize meeting notes
2. Use Copilot for meeting preparation and follow-up
3. Enhance teamwork and communication

- Create and edit business materials

1. Generate documents, presentations, and communications
2. Work with existing content and summaries
3. Translate and adapt content

Understand generative AI fundamentals

25–30%

- AI capabilities in Microsoft 365

1. Microsoft 365 Copilot features and functions
2. Copilot context and data handling
3. Differences between chat and agent experiences

- Generative AI concepts and principles

1. Responsible AI principles
2. Security and privacy in AI systems
3. Core capabilities and use cases

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Microsoft AI Business Professional Sample Questions (Q32-Q37):

NEW QUESTION # 32
What is the purpose of predictive analytics in business?

A. To predict future events based on historical data
B. To generate random forecasts for uncertainty analysis
C. To control supply chain logistics in real time
D. To automate business workflows

Answer: A

Explanation:
Predictive analytics uses historical data, machine learning algorithms, and statistical techniques to make predictions about future trends. This helps businesses anticipate demand, customer behavior, and other important factors to guide decision-making.

NEW QUESTION # 33
You create a prompt in Microsoft 365 Copilot to help you create a draft project report.
You need the prompt to be available in the Copilot Prompt Gallery.
What should you do first?

A. Run the prompt.
B. Create a notebook.
C. Add an agent.
D. Create a page.

Answer: A

Explanation:
In Microsoft 365 Copilot, the Copilot Prompt Gallery is used to store and reuse prompts that have been created and tested. To save a prompt into the gallery, Copilot must first have the prompt as an executed interaction so it can be captured as a reusable prompt (often alongside the context and intended outcome).
Microsoft guidance for prompt management emphasizes validating prompts by running them and reviewing the output, then saving the prompt for reuse once it produces the desired results.
Option D is therefore the correct first step: run the prompt . After execution, you can save it to the Prompt Gallery so it becomes easily discoverable and reusable for future project reports or for sharing within your organization (subject to policy).
Creating a notebook is useful for organizing reference materials across related conversations, but it is not required to publish a prompt to the gallery. Adding an agent is for creating specialized assistants with knowledge and capabilities, not for saving a single prompt. Creating a page is used to refine and collaborate on generated content, not to make a prompt available in the gallery.
Therefore, the first action is to run the prompt .

NEW QUESTION # 34
You have a Microsoft Excel workbook open that contains a table. The table contains sales data and the following columns:
* OrderDate
* OrderNumber
* Amount
You plan to use Microsoft Copilot in Excel to generate a monthly summary of the sales data in the table.
What should you include in the prompt to generate an effective summary? More than one answer choice may achieve the goal. Select the BEST answer.

A. the clear goal of the summary
B. a specific cell range from the worksheet
C. the file name of the workbook
D. a formula to calculate monthly totals
E. the desired format of the response

Answer: A,E

Explanation:
To generate an effective monthly summary with Copilot in Excel, Microsoft prompting guidance emphasizes two core elements: clear intent and expected output structure . First, you should state the goal explicitly- such as "summarize total sales by month based on OrderDate and Amount, and highlight month-over-month changes." This directs Copilot to the correct aggregation and analysis behavior (Option D).
Second, specifying the desired format improves usability and reduces ambiguity. For example, requesting "a table with Month, Total Sales, Number of Orders, and Average Order Value" or "a bulleted executive summary plus a small summary table" ensures Copilot returns results in a format you can immediately use (Option A).
A specific cell range (Option B) is usually unnecessary when the data is already in a recognized Excel table, because Copilot can work from the table context. The workbook file name (Option C) does not help analysis.
Providing a formula (Option E) is not required because Copilot can compute monthly totals; formulas are optional if you want a specific calculation method, but they are not the best prompt ingredients for an effective summary.
Therefore, the best answers are A and D .

NEW QUESTION # 35
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Box: a page
You generate a report by using the Researcher agent in Microsoft 365 Copilot. You can use
_______ to save and edit the response.
To save and edit a report generated by the Researcher agent in Microsoft 365 Copilot, you should primarily use Microsoft 365 Pages (part of Loop) or Microsoft Word.
Key Tools for Saving and Editing
*-> Microsoft 365 Pages: This is the most integrated way to handle Researcher output. After the report is generated, you can select "Edit in Pages" directly below the response. This creates a collaborative page side-by-side with your chat, allowing you to refine the content with your team.
Microsoft Word: You can export the report directly to Word to apply professional formatting and perform detailed editing. This is often the recommended step after initial collaboration in Pages.
Microsoft PowerPoint: For presentations, you can use the PowerPoint Copilot feature to generate slides directly from your saved Word document or export the report as a presentation if that option is available in your interface.
New Export Formats: Depending on your current rollout version, you may also see options to export the report as a PDF, Infographic, or even an Audio Overview

NEW QUESTION # 36
How does AI help businesses detect fraud?

A. By eliminating the need for manual audits
B. By analyzing transaction data and identifying suspicious patterns
C. By automating customer support for fraud-related inquiries
D. By predicting customer behavior with perfect accuracy

Answer: B

Explanation:
AI-driven fraud detection systems analyze transaction patterns in real-time to spot anomalies or unusual behavior. This can help prevent fraudulent activities such as identity theft, money laundering, or fraudulent claims.

NEW QUESTION # 37
......

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