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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | AI Business Professional |
| Exam Number: | AB-730 |
| Certificate Validity Period: | 1 year |
| Exam Price: | $99 USD |
| Exam Format: | Interactive Questions, Case Study, Multiple Choice |
| Passing Score: | 700 |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: AI Business Professional |
| Exam Duration: | 45 minutes |
| Available Languages: | English |
| Sample Questions: | Microsoft AB-730 Sample Questions |
| Exam Way: | Online proctored exam through Pearson VUE |
| Pre Condition: | No formal prerequisites. Candidates should have basic familiarity with Microsoft 365 applications and AI-powered productivity tools. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/ai-business-professional/ |
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질문 # 71
Hotspot Question
Select the answer that correctly completes the sentence.
정답：
설명：
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
질문 # 72
You are creating a custom agent in the Microsoft 365 Copilot app for the marketing team at your company.
The agent will be used to produce marketing collateral, including copy, logos, and artwork.
What should you add to the agent? More than one answer choice may achieve the goal. Select the BEST answer.
정답：A
설명：
When building a custom agent in Microsoft 365 Copilot for marketing use cases, the required capabilities must align with the intended outputs. Marketing collateral includes written copy as well as visual assets such as logos and artwork. According to Microsoft AI Business Professional documentation, generative AI solutions that produce visual creative assets require integrated image generation capabilities powered by multimodal AI models.
Option C is correct because an image generator enables the agent to create visual marketing materials such as logos, artwork, and design elements. While templates and suggested prompts can improve usability and consistency, they do not provide the underlying capability to generate images. A code interpreter is designed for data analysis, calculations, or technical scripting tasks and is not relevant to creative marketing asset production.
Therefore, to fulfill the requirement of producing both textual and visual marketing collateral, the most essential addition to the custom agent is an image generator.
질문 # 73
You need to improve prompt-grounding during a Microsoft 365 Copilot conversation. What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
정답：C
설명：
To significantly improve prompt-grounding and accuracy during a Microsoft 365 Copilot conversation, you should explicitly reference specific files, folders, or emails. While Copilot automatically attempts to ground responses in your Microsoft Graph data, guiding it to precise, authorized sources reduces the risk of generating "ungrounded" (hallucinated) content.
Here are the best practices for referencing files to ground your Copilot prompts:
Methods for Referencing Files
Use the Forward Slash (/): Typing a forward slash (/) followed by the file name in the Copilot chat box is the primary way to bring up a list of relevant, recently used files.
Use the Attachment Icon: Click the attachment icon to browse your OneDrive or SharePoint for specific documents, spreadsheets, or presentations.
Explicit Naming: Use clear, descriptive names. For example: "Summarize the findings in
'/ProjectAlpha_Draft.docx'".
Copy/Paste Links: If a file does not appear in the suggestions, open the file in SharePoint or OneDrive, copy the link, and paste it directly into the prompt.
Reference:
https://www.datastudios.org/post/microsoft-copilot-prompting-techniques-structure-grounding- and-workflow-optimisation
질문 # 74
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.
정답：
설명：
Explanation:
Box 1: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in the web, the response will always be identical.
Actually, the response will not always be identical. While grounding in the web provides a consistent set of facts, several factors cause variations in the output:
Probabilistic Nature of LLMs: Microsoft 365 Copilot is built on Large Language Models (LLMs) that are inherently probabilistic. This means they predict the next likely word in a sequence, which often leads to slightly different phrasing or structures even when the input is the same.
*-> Dynamic Web Content: Web grounding uses Bing search results to provide real-time information. Because the web is constantly changing, a topic relevant for a summary at one moment might be replaced by newer, more relevant data just minutes later.
Response Generation Limits: If you ask the same question too many times in a row, Copilot may prompt you to rephrase or may "time out". The "regenerate" option specifically aims to reword things differently to provide a fresh perspective.
Personalization and Context: Responses can adapt over time based on user interactions and the specific Microsoft 365 context available at the time of the prompt.
Box 2: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in your own data, the response will always be identical.
Even when Microsoft 365 Copilot is grounded in your own data, submitting the same prompt multiple times will not always produce identical responses.
While grounding with your own data (emails, files, chats) significantly improves accuracy and relevance, the underlying technology remains a Large Language Model (LLM), which is inherently non-deterministic.
Here is why responses may vary:
Inherent Model Variability: LLMs like GPT-4, which power Copilot, generate answers token-by- token based on probability, which can lead to different, yet contextually appropriate, responses.
Dynamic Data Sources: If the documents or emails you are querying are updated or changed, the information Copilot retrieves might differ.
Contextual Sensitivity: Copilot may consider the context of previous interactions in a session. If the conversation thread changes, the output can vary.
Box 3: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in the model's knowledge, the response will always be identical.
Even when grounded in specific knowledge, Microsoft 365 Copilot will likely produce different responses to the same prompt.
This happens because:
Probabilistic Nature: Copilot is built on Large Language Models (LLMs) that use neural networks to predict text. This introduces randomness, meaning the model doesn't follow a fixed path to an answer even with identical inputs.
Dynamic Context: In active chats or meetings, Copilot bases its answers on the most recent content available. As a conversation or meeting evolves, what the model considers "relevant" changes, leading to varied summaries or answers over time.
Retrieval Variations: When grounded in your data (like SharePoint or OneDrive), the system may pick different "snippets" or sections of a document each time you ask a question, leading to slight-
-or sometimes significant--differences in the final output.
No "Seed" Control: Unlike some technical AI tools, standard Copilot does not allow users to set a
"seed" number to force 100% deterministic (identical) results.
질문 # 75
While using Microsoft 365 Copilot, content is returned from a website.
You need to verify the exact search query used to find the website.
What should you use? To answer, select the appropriate options in the answer area.
정답：
설명：
질문 # 76
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