Microsoft AI Business Professional Exam Syllabus

AI Business Professional PDF, AB-730 Dumps, AB-730 PDF, AI Business Professional VCE, AB-730 Questions PDF, Microsoft AB-730 VCE, Microsoft AI Business Professional Dumps, Microsoft AI Business Professional PDF Use this quick start guide to collect all the information about Microsoft AI Business Professional (AB-730) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the AB-730 Microsoft AI Business Professional exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft AI Business Professional certification exam.

The Microsoft AI Business Professional certification is mainly targeted to those candidates who want to build their career in Microsoft 365 domain. The Microsoft Certified - AI Business Professional exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft AI Business Professional.

Microsoft AI Business Professional Exam Summary:

Exam Name	Microsoft Certified - AI Business Professional
Exam Code	AB-730
Exam Price	$99 (USD)
Duration	45 mins
Number of Questions	40-60
Passing Score	700 / 1000
Books / Training	AB-730T00-A: Transform business workflows with generative AI
Schedule Exam	Pearson VUE
Sample Questions	Microsoft AI Business Professional Sample Questions
Practice Exam	Microsoft AB-730 Certification Practice Exam

Microsoft AB-730 Exam Syllabus Topics:

Topic	Details	Weights
Understand generative AI fundamentals	- Understand generative AI capabilities across Microsoft 365 experiences Understand how Copilot works to keep your organization’s information private and secure Understand how the context, like your work files, web data, or the app you’re using, can affect Copilot responses Understand the difference between a chat experience and an agent experience Understand the use case for creating your own agent Understand the differences in features and capabilities of the Copilot experience in various Microsoft 365 apps - Identify responsible AI and data protection practices Identify common risks, including fabrications, prompt injection, and over-reliance Select verification steps appropriate to the task, including citation checks and human review Recognize and mitigate risks to sensitive data Understand how data protection restricts prompt results	25–30%
Manage prompts and conversations by using AI	- Create and manage prompts in Microsoft 365 Copilot Understand how to create an effective prompt Select appropriate resources to reference in a prompt Save a prompt Schedule a prompt Share a prompt - Manage conversations in Copilot Understand how to find previous conversations Delete a chat Rename a chat Add a conversation to a notebook - Create and manage Microsoft 365 Copilot agents Understand when to use Agent Store versus creating a new agent Create an agent by using a template Configure an agent that has knowledge Configure agent settings such as instructions, capabilities and suggested prompts Share an agent with team members	35–40%
Draft and analyze business content by using AI	- Draft business documents and communications Create a new document from a prompt Generate a document from an existing document Generate a management summary based on a document Move data and insights between Microsoft 365 apps - Manage meetings and collaboration Describe how to use Copilot for meetings Describe how to use Copilot Pages for collaboration Describe how Copilot uses memory and instructions	25–30%

Topic

Details

Weights

Understand generative AI fundamentals

- Understand generative AI capabilities across Microsoft 365 experiences

Understand how Copilot works to keep your organization’s information private and secure
Understand how the context, like your work files, web data, or the app you’re using, can affect Copilot responses
Understand the difference between a chat experience and an agent experience
Understand the use case for creating your own agent
Understand the differences in features and capabilities of the Copilot experience in various Microsoft 365 apps

- Identify responsible AI and data protection practices

Identify common risks, including fabrications, prompt injection, and over-reliance
Select verification steps appropriate to the task, including citation checks and human review
Recognize and mitigate risks to sensitive data
Understand how data protection restricts prompt results

25–30%

Manage prompts and conversations by using AI

- Create and manage prompts in Microsoft 365 Copilot

Understand how to create an effective prompt
Select appropriate resources to reference in a prompt
Save a prompt
Schedule a prompt
Share a prompt

- Manage conversations in Copilot

Understand how to find previous conversations
Delete a chat
Rename a chat
Add a conversation to a notebook

- Create and manage Microsoft 365 Copilot agents

Understand when to use Agent Store versus creating a new agent
Create an agent by using a template
Configure an agent that has knowledge
Configure agent settings such as instructions, capabilities and suggested prompts
Share an agent with team members

35–40%

Draft and analyze business content by using AI

- Draft business documents and communications

Create a new document from a prompt
Generate a document from an existing document
Generate a management summary based on a document
Move data and insights between Microsoft 365 apps

- Manage meetings and collaboration

Describe how to use Copilot for meetings
Describe how to use Copilot Pages for collaboration
Describe how Copilot uses memory and instructions

25–30%

To ensure success in Microsoft AI Business Professional certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft AI Business Professional (AB-730) exam.