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Microsoft AB-730 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Understand generative AI fundamentals25–30%- Generative AI concepts and principles
  • 1. Security and privacy in AI systems
  • 2. Core capabilities and use cases
  • 3. Responsible AI principles
- AI capabilities in Microsoft 365
  • 1. Differences between chat and agent experiences
  • 2. Copilot context and data handling
  • 3. Microsoft 365 Copilot features and functions
Topic 2: Draft and analyze business content using AI25–30%- Support meetings and collaboration
  • 1. Use Copilot for meeting preparation and follow-up
  • 2. Enhance teamwork and communication
  • 3. Capture and organize meeting notes
- Analyze and interpret data and insights
  • 1. Visualize and summarize information
  • 2. Move content and insights between apps
  • 3. Extract insights from documents and data
- Create and edit business materials
  • 1. Translate and adapt content
  • 2. Work with existing content and summaries
  • 3. Generate documents, presentations, and communications
Topic 3: Manage prompts and conversations using AI35–40%- Manage AI conversations
  • 1. Collaborate using AI conversations
  • 2. Organize and store conversation history
  • 3. Find, rename, and delete conversations
- Design and use effective prompts
  • 1. Select and reference resources in prompts
  • 2. Save, schedule, and share prompts
  • 3. Prompt structure and best practices
- Create and manage Copilot agents
  • 1. Share and manage agent access
  • 2. Configure knowledge, instructions, and settings
  • 3. Agent Store vs custom creation
  • 4. Create agents from templates

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Microsoft AI Business Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
You are using Microsoft 365 Copilot to plan a trip and have asked Copilot to remember several details about the trip.
You cancel the trip plans.
You need to ensure that Copilot forgets the details.
What should you do?

Answer: D

Explanation:
Microsoft 365 Copilot includes a memory capability that allows it to retain user-provided preferences or details across interactions when explicitly instructed to remember them. These stored details are referred to as memories and are separate from standard conversation history.
If you previously asked Copilot to remember specific trip-related details, those details are stored as structured memory items. Simply deleting the conversation does not necessarily remove stored memory entries. Likewise, deleting activity history through the My Account portal removes conversation records but does not directly manage structured Copilot memories. Custom instructions define persistent behavioral preferences and are unrelated to trip-specific stored data.
To ensure Copilot no longer retains those trip details, you must delete the stored memories directly within Copilot. Microsoft documentation explains that users can view and manage saved memories and remove them individually to control what Copilot retains.
Therefore, the correct action to ensure Copilot forgets the trip details is to delete the memories.


NEW QUESTION # 41
You are a project coordinator for a small consulting firm.
You are responsible for tracking client communications, managing project timelines, and preparing weekly status updates for internal stakeholders.
You have a Microsoft 365 Copilot license.
You create an agent to help you monitor project milestones, follow up on client emails, and generate weekly summary reports.
With whom can you share the agent?

Answer: D

Explanation:
When you create a custom agent using a Microsoft 365 Copilot license (typically through the Agent Builder), you can share it with the following people within your organization:
Specific Users: You can share the agent directly with up to 98 named individuals by entering their name or email address.
Security Groups: You can share with specific Entra ID Security Groups to grant access to a predefined team.
Everyone in Your Organization: You can make the agent available to anyone in your tenant via a sharing link.
Incorrect:
[not C]
You are not limited to only sharing agents with Microsoft Teams channel members. While agents can be created for specific Teams channels, you can also share them directly with specific users or groups within your organization, or publish them for wider organizational access.
Reference:
https://learn.microsoft.com/en-us/microsoft-365-copilot/extensibility/agent-builder-share-manage- agents


NEW QUESTION # 42
You have an open Microsoft 365 Copilot conversation.
You need to chat with an agent named Agent1 during the conversation.
What should you enter to call Agent1?

Answer: A

Explanation:
In Microsoft 365 experiences, the standard way to invoke or reference people and specific resources in- context is by using the @mention pattern. Microsoft 365 Copilot extends this familiar interaction model to agents: when you want to switch to, invoke, or direct a question to a specific agent from within an existing Copilot conversation, you use @ followed by the agent's name. This makes the agent selection explicit and reduces ambiguity about which assistant or capability you want to use for the next turn.
The other syntaxes listed are commonly associated with different systems: square brackets are not used for agent invocation, hashtags are typically used for topics/tags, and slash commands are used in some chat applications for command execution-but they are not the standard method for calling a Copilot agent in Microsoft 365 Copilot Chat.
Therefore, to chat with an agent named Agent1 during an open Copilot conversation, you should enter
@Agent1 .


NEW QUESTION # 43
Hotspot Question
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:

Explanation:
Box 1: Yes
Yes - Microsoft 365 Copilot can use its own model knowledge to make the response of a prompt more specific.
Microsoft 365 Copilot utilizes its extensive internal model knowledge, in combination with grounding on your organization's data, to provide specific, relevant, and actionable responses.
While Copilot heavily leverages "grounding"--using Microsoft Graph to pull in your emails, chats, and documents--it also relies on the underlying Large Language Models (LLMs) to understand context, infer meaning, and fill in details.
Box 2: Yes
Yes - Microsoft 365 Copilot can use business data that will provide additional context to make the response of prompt more specific.
Microsoft 365 Copilot leverages your organization's business data to enhance the accuracy and relevance of its responses through a process called grounding. By connecting to the Microsoft Graph, Copilot can access, analyze, and synthesize information from your emails, chats, documents, calendar, and meetings.
Box 3: Yes
Yes - Microsoft 365 Copilot can use the latest information from the web that will provide additional context to make a prompt more specific.
Microsoft 365 Copilot uses web grounding to incorporate the latest information from the internet into its responses. This process allows Copilot to provide context that goes beyond its initial training data and your internal organizational files.
How Web Context Enhances Prompts
Real-Time Information: Copilot can access current events, such as latest news, regulatory shifts, or quarterly earnings, ensuring responses aren't limited by a training data cutoff.
Automated Search Queries: When a prompt requires external context, Copilot automatically generates a focused search query (using a few keywords) and sends it to the Bing Search service.
Direct URL Referencing: You can explicitly provide a web page URL in your prompt (e.g.,
"Summarize this article: [URL]") to force Copilot to extract and use information directly from that specific source.
Comprehensive Synthesis: In many scenarios, Copilot can combine this web data with your internal work data (from Microsoft Graph) to provide a unified answer that is both organization- specific and globally current.


NEW QUESTION # 44
Hotspot Question
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 # 45
......

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