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Microsoft AB-730 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Understand generative AI fundamentals25-30%- Generative AI concepts
  • 1. Identify risks and limitations of AI-generated content
  • 2. Understand responsible AI principles
  • 3. Describe generative AI capabilities and use cases
- Microsoft AI solutions
  • 1. Understand Microsoft 365 Copilot features
  • 2. Recognize AI-powered productivity scenarios
Topic 2: Draft and analyze business content by using AI25-30%- Data analysis and productivity
  • 1. Improve workflow productivity with AI tools
  • 2. Generate insights from organizational data
  • 3. Analyze business information using AI
- Content creation
  • 1. Create presentations and summaries
  • 2. Draft business documents with AI assistance
  • 3. Generate business emails and reports
Topic 3: Manage prompts and conversations by using AI35-40%- Prompt engineering
  • 1. Create effective prompts
  • 2. Use contextual instructions in prompts
  • 3. Refine prompts for improved responses
- Conversation management
  • 1. Manage AI conversations and sessions
  • 2. Reuse and organize prompts
  • 3. Validate AI-generated responses

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Microsoft AI Business Professional Sample Questions (Q65-Q70):

NEW QUESTION # 65
Hotspot Question
You have a Microsoft 365 Copilot license.
You plan to run several prompts.
What should you use to ensure that Copilot generates the best response for each prompt? More than one answer choice may achieve the goal. To answer, select the Best options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Researcher agent
Prompt 1: Explain the differences between Contoso, Ltd, and Litware, Inc. Include sources and a table of the differences. Provide insights into why the differences exist.
You should use the Researcher agent in Microsoft 365 Copilot.
The Researcher is designed for deep, multi-step research tasks that require analyzing information from both the web and internal company data to generate comprehensive reports, including structured tables and sourced insights.
Why Researcher Agent? It acts as a specialized assistant for complex, multi-step research projects. It is specifically built to aggregate information from various sources (web + internal), synthesize it, and present insights in a structured format. It is ideal for competitor analysis, market research, and understanding the "why" behind differences.
Box 2: Analyst agent
Prompt 2: From /Sales_2022.xlsx From /Sales_2023.xlsx From /Sales_2024.xlsx, create a pivot table of revenue and product, highlight MoM changes > 10%, and recommend 3 follow-up analyses.
You should use the Analyst agent.
The Analyst agent is specifically designed for deep reasoning over structured data like Excel files.
Multi-file Analysis: It can consolidate and analyze data across multiple files (e.g., three years of sales) to identify trends and outliers.
Advanced Operations: It uses chain-of-thought reasoning and Python to perform complex calculations, such as Month-over-Month (MoM) percentage changes, which go beyond simple summaries.
Actionable Outputs: It specializes in generating visualizations, summaries, and recommending follow-up steps based on identified data patterns.
Box 3: Chat
Prompt 3: Generate a structured action plan from ongoing meeting chat, grouping tasks by functional area, identifying owners where mentioned, and including any implied deadlines and dependencies.
To get the most accurate and structured result for this specific request, you should use Chat (specifically the Microsoft 365 Copilot chat interface, often found in Teams or the M365 app).
Here is why Chat is the correct choice compared to the specialized agents:
Context Awareness: The standard Chat interface is designed to pull data across your "M365 Graph." It has the native ability to scan your recent Teams meeting transcripts and meeting chats.
Synthesis Skills: While the Analyst agent is great for Excel/data processing and the Researcher is best for web-based trends, the core Chat function is optimized for summarization and extraction from internal communication.
Task Identification: Copilot Chat is specifically trained to recognize "action-oriented" language (e.g., "I'll take care of that" or "Due by Friday") within a conversation.


NEW QUESTION # 66
You have a Microsoft 365 Copilot license.
You are preparing a business presentation by using Copilot in PowerPoint.
Which two tasks can you achieve by using Copilot in PowerPoint? Each correct answer presents a complete the solution.
NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
[B]
With a Microsoft 365 Copilot license, users can leverage AI in PowerPoint to automatically create, restructure, and design slide layouts based on prompt-driven content or existing documents.
Copilot generates tailored, visually appealing slides, adds images, creates outlines, and maintains consistent, professional formatting.
Key capabilities of Copilot in PowerPoint include:
Content Creation: Generate full presentations or individual slides from text prompts, or by summarizing Word documents and PDFs.
*-> Layout and Design: Automatically suggest and apply, appropriate layouts, themes, and visual elements, such as SmartArt or images.
Editing and Refinement: Rewrite, restructure, and reformat existing slides to improve narrative flow.
File Transformation: Convert, for example, a project proposal document directly into a structured slide deck.
Efficiency Features: Summarize presentations, generate speaker notes, and translate content while preserving formatting.
[D] Microsoft 365 Copilot in PowerPoint (requires a license) can instantly generate a summary slide, action items, or a high-level overview by analyzing up to 40,000 words in your presentation.
By selecting the Copilot button on the Home tab and prompting it, users can instantly distill, reorganize, or summarize long, complex, or newly created decks.
Key Capabilities of Copilot in PowerPoint for Summarization:
*-> Generate Summary Slide: Use prompts like "Summarize this presentation" or "Summarize this presentation as a high-level overview" in the Copilot pane to create a summary slide based on key points.
Identify Action Items: Copilot can pinpoint key takeaways and necessary actions from the deck.
Tailor for Audience: Ask Copilot to customize the summary for specific audiences, such as executives.
Contextual Analysis: Copilot reviews all slides, notes, and content to provide a concise, structured overview.
Source Citations: Copilot provides references to indicate where it pulled information from in the presentation.
Easy Copy/Paste: Summaries can be easily copied to the clipboard for use in emails or other documents.
Incorrect:
[Not C]
While Microsoft 365 Copilot is incredibly powerful for generating content and layouts, its ability to
"create" or "customize" a brand-new design theme from scratch is currently limited.
Here is the breakdown of how Copilot interacts with company branding:
1. It Uses Your Existing Templates
Copilot cannot invent your brand colors or logos out of thin air. Instead, it works best when you start with a branded template.
2. It Doesn't "Design" the Theme
You cannot currently give Copilot a command like "Change the theme to match our company's blue and orange hex codes" if those aren't already in the slide master. You still need a human (or a designer) to set up the Slide Master first.
Reference:
https://www.mauriziolacava.com/en/microsoft-copilot-powerpoint-guide/
https://support.microsoft.com/en-us/office/summarize-your-presentation-with-copilot-in- powerpoint-499e604c-4ab9-4f6a-9dbe-691cc87f2f69


NEW QUESTION # 67
What is the purpose of predictive analytics in business?

Answer: D

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 # 68
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:
Statements:
You can add a Microsoft Teams chat as a knowledge source to a Microsoft 365 Copilot agent. Answer: Yes
You can add a Microsoft 365 Copilot conversation as a knowledge source to a Copilot agent. Answer: No
You can use an image file, such as a JPG file, as a knowledge source for a Microsoft 365 Copilot agent. Answer: NO
Microsoft 365 Copilot Agent Builder supports grounding agents in approved knowledge sources so responses are accurate and permission-trimmed. Teams chats can be used as a knowledge source: Microsoft Learn confirms you can ground an agent in Teams data, including chat messages (and optionally scope to specific chats), enabling the agent to reference collaboration context when answering questions.
A Copilot conversation itself is not a supported "knowledge source" option; knowledge sources are configured from items like SharePoint content, Teams, email, websites, uploaded files, and connectors-not prior chat transcripts.
Finally, JPG images are not supported as knowledge-source file types . Microsoft's supported file types for agent knowledge include documents like .doc/.docx, .pdf, .ppt/.pptx, .txt, and Excel formats (.xls/.xlsx), but not image formats. Therefore, you cannot use a JPG as a knowledge source for a Copilot agent.


NEW QUESTION # 69
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: D

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 # 70
......

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