Valid AB-730 Exam Syllabus, AB-730 Latest Dumps Sheet

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Microsoft AB-730 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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. Agent Store vs custom creation 2. Create agents from templates 3. Configure knowledge, instructions, and settings 4. Share and manage agent access - Manage AI conversations 1. Organize and store conversation history 2. Collaborate using AI conversations 3. Find, rename, and delete conversations
Topic 2: Draft and analyze business content using AI	25–30%	- Create and edit business materials 1. Translate and adapt content 2. Generate documents, presentations, and communications 3. Work with existing content and summaries - Support meetings and collaboration 1. Enhance teamwork and communication 2. Use Copilot for meeting preparation and follow-up 3. Capture and organize meeting notes - 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
Topic 3: 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. Core capabilities and use cases 2. Responsible AI principles 3. Security and privacy in AI systems

Section

Weight

Objectives

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

- Manage AI conversations

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

Topic 2: Draft and analyze business content using AI

25–30%

- Create and edit business materials

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

- Support meetings and collaboration

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

- 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

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

>> Valid AB-730 Exam Syllabus <<

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Microsoft AI Business Professional Sample Questions (Q79-Q84):

NEW QUESTION # 79
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 # 80
You sign in to the Microsoft 365 Copilot app by using your work account as shown in the exhibit.
A colleague tells you that when they open the Microsoft 365 Copilot app, they have access to the Researcher agent. You need to access the Researcher agent.
What should you do?

A. From Microsoft Edge, use your work account to sign in to https://copilot.microsoft.com.
B. Sign in to the Copilot app by using a personal account.
C. Select Explore agents and then search for Researcher.
D. Request a Microsoft 365 Copilot license from an administrator.

Answer: C

Explanation:
In Microsoft 365 Copilot, agents such as Researcher are accessed through the Agents experience within the Copilot app. If the user interface does not immediately display a specific agent, the correct action is to browse or search the available agents catalog. The exhibit shows the left navigation pane with an Explore agents option.
According to Microsoft AI Business Professional guidance, built-in and custom agents can be discovered and enabled through the Explore agents section. If the user already has the appropriate Copilot license and is signed in with their work account, there is no need to switch accounts or request another license.
Signing in through a browser does not change feature availability, and using a personal account would remove access to organizational features. Therefore, to access the Researcher agent, you should select Explore agents and search for Researcher.

NEW QUESTION # 81
What is the role of machine learning in a business environment?

A. To provide insights from data and predict outcomes
B. To automate all business processes without human input
C. To manually perform data analysis
D. To eliminate the need for human judgment in decision-making

Answer: A

Explanation:
Machine learning algorithms analyze data to detect patterns, learn from the data, and make predictions or recommendations. This helps businesses make data-driven decisions without human intervention in every aspect, improving accuracy and efficiency.

NEW QUESTION # 82
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 83
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
suggested prompts
In Microsoft 365 Copilot, suggested prompts are designed to help users get started quickly and interact with an agent effectively. Microsoft guidance for Copilot agents emphasizes that many users struggle most at the beginning-knowing what to ask, how to phrase requests, and how to take advantage of an agent's purpose.
Suggested prompts address this by providing ready-to-use examples that demonstrate the best ways to engage the agent for its intended scenarios.
Suggested prompts also act as lightweight "guardrails" for good prompting. They show users the expected input patterns, the types of tasks the agent can perform, and the kinds of outputs they can request. This accelerates adoption and improves the quality of results by steering users toward well-structured requests and appropriate context.
By contrast, capabilities describe what an agent can do (tools/features), instructions define how the agent should behave, and agent settings control configuration. None of those are primarily meant to help users begin conversations through example starters.
Therefore, the correct completion is suggested prompts.

NEW QUESTION # 84
......

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