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| Section | Weight | Objectives |
|---|---|---|
| Understand generative AI fundamentals | 25–30% | - AI capabilities in Microsoft 365
|
| Manage prompts and conversations using AI | 35–40% | - Create and manage Copilot agents
|
| Draft and analyze business content using AI | 25–30% | - Create and edit business materials
|
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NEW QUESTION # 55
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 56
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Microsoft Purview is the correct choice because it is Microsoft's unified compliance and data governance solution that helps organizations apply and enforce policies across Microsoft 365 content- including Copilot- related interactions where those interactions are captured in services such as Microsoft 365 audit, eDiscovery, and Purview compliance experiences. Purview supports capabilities such as data loss prevention (DLP), retention, eDiscovery, audit, and sensitivity labeling so organizations can manage and govern data and AI- assisted content in line with regulatory and internal requirements. In contrast, Microsoft Entra ID focuses on identity and access management, Intune focuses on device and application management, and Defender for Cloud focuses on cloud security posture management. Governance policies for Copilot-generated conversations and associated compliance controls align most directly with Purview, which is designed to manage information protection and compliance across the Microsoft 365 environment.
NEW QUESTION # 57
You ask Microsoft 365 Copilot to create a report based on information from the web. You verify the response and discover that some information is fictional.
What is this an example of?
Answer: D
Explanation:
This scenario is an example of fabrication, which is commonly referred to in generative AI contexts as a hallucination. Fabrication occurs when an AI system generates information that appears credible but is factually incorrect, invented, or unsupported by verifiable sources.
According to Microsoft AI Business Professional guidance, large language models predict text based on patterns learned during training. They do not "know" facts in the human sense. As a result, when asked to generate reports using web-based information, the model may produce plausible-sounding but fictional details if sufficient grounding or reliable sources are not provided.
Deepfake refers specifically to synthetic media such as manipulated images, audio, or video. Overreliance describes a human behavior risk where users trust AI outputs without verification. Prompt injection is a malicious technique designed to manipulate model behavior. Bias refers to systematic unfairness in outputs.
In this case, the presence of fictional information in the generated report directly aligns with fabrication, making option B the correct answer.
NEW QUESTION # 58
You create a Microsoft 365 Copilot notebook and add a file named Process.docx from a Microsoft SharePoint site as a reference.
Yesterday, a user updated Process.docx in the SharePoint site.
What will occur when you chat in the notebook?
Answer: A
NEW QUESTION # 59
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 uses contextual information from your organization to suggest prompts.
Microsoft 365 Copilot leverages contextual information from your organization to suggest relevant prompts, a process aimed at improving productivity by reducing the need to search for information. This feature, often enhanced by Context IQ, scans your recent activity--including emails, calendar meetings, chats, and documents-to provide personalized, tailored suggestions.
Box 2: No
No - Microsoft 365 Copilot can use contextual information from your organization to train the large language model (LLM).
How Microsoft 365 Copilot actually uses organizational data:
*-> No Training on Customer Data: Customer data, including prompts, responses, and data accessed through Microsoft Graph (emails, chats, documents, etc.), is not used to train the underlying foundation LLMs that power Copilot.
Grounding (Contextual Use): Copilot uses organizational context to "ground" responses. It retrieves relevant data in real-time via Microsoft Graph to ensure answers are accurate and tailored to your organization.
Box 3: Yes
Yes - Microsoft 365 Copilot uses contextual information from your organization to suggest augment a prompt, before sending the prompt to the large language model (LLM).
It uses a process called grounding to improve the relevance and accuracy of its responses by connecting to your organization's data via the Microsoft Graph.
Instead of just relying on the general knowledge of a Large Language Model (LLM), Copilot acts as an intermediary, augmenting your prompt with real-time organizational context before the LLM processes it.
NEW QUESTION # 60
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