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79. Frage
You are a merchandiser who is planning for the upcoming season.
You prompt Microsoft 365 Copilot to suggest which products to stock based on historical sales data. Without reviewing the suggestions or checking current market trends, you place a large order based solely on the output of Copilot.
What is this an example of?
Antwort: D
Begründung:
Comprehensive and Detailed 150 to 200 words of Explanation Microsoft AI Business professional documents:
This scenario is an example of overreliance. Microsoft's AI guidance highlights that Copilot is an assistive tool that can accelerate analysis and drafting, but users remain responsible for validating outputs-especially for high-impact business decisions. Overreliance occurs when someone treats AI output as authoritative and acts on it without applying judgment, cross-checking sources, or validating against current conditions.
Here, the merchandiser uses Copilot to generate stocking recommendations from historical sales data, then places a large order without reviewing the suggestions or incorporating current market trends. Even if the historical data is accurate, demand can shift due to seasonality changes, competitor actions, pricing, supply constraints, macroeconomic factors, or new product launches. Copilot's recommendations should be treated as a starting point for decision-making, not the final decision.
Option A (verification) is the opposite behavior-checking accuracy before acting. Option C (fabrication) would involve Copilot inventing facts; the prompt doesn't indicate fictional data, only unvalidated reliance.
Option D (prompt injection) involves malicious instructions embedded in content to manipulate the model, which is not described here.
Therefore, the best answer is overreliance.
80. Frage
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.
Antwort: D
Begründung:
Prompt-grounding means ensuring Copilot's response is based on authoritative, relevant source material rather than inferred or generalized information. Microsoft guidance for Copilot emphasizes that the most effective way to ground responses is to explicitly point Copilot to the content you want it to use-such as specific SharePoint documents, OneDrive files, emails, meeting notes, or other Microsoft 365 resources the user has permission to access.
Option D is therefore the best answer because referencing specific files anchors Copilot's reasoning to the exact material that should be used for facts, terminology, and details. This reduces hallucinations (fabrication) and improves accuracy and traceability, especially when Copilot can provide citations back to the referenced sources.
Option B (desired output format) improves structure and readability but does not, by itself, ground content.
Option A can sometimes improve clarity, but shorter prompts do not guarantee grounding. Option C may help comprehension in some cases, but it is not a grounding strategy and can be counterproductive if the source material is technical.
Therefore, the best approach to improve prompt-grounding is to reference specific files .
81. Frage
You are comparing the difference between Microsoft 365 Copilot and Microsoft 365 Copilot Chat.
What is available in both versions?
Antwort: B
Begründung:
A key feature available in both Microsoft 365 Copilot and Microsoft 365 Copilot Chat is Enterprise Data Protection (EDP), which ensures that user data and prompts are not used to train the underlying AI models.
Both versions also support key productivity features when signed in with a work or school account, including:
Web-grounded chat: Both can generate answers based on public web data and the latest Large Language Models (LLMs).
File Uploads: Both allow users to upload files to summarize or analyze.
Image Generation: Both can create images directly in the chat interface.
*-> Copilot Pages: Both allow users to turn AI-generated responses into editable, shareable documents.
Contextual Awareness: Both can understand the context of an open file (Word, Excel, PowerPoint) or email (Outlook) in the side pane.
Reference:
https://support.microsoft.com/en-us/topic/how-copilot-chat-works-with-and-without-a-microsoft-
365-copilot-license-5810b659-fbe0-48ee-9fe6-d731fe86cdeb
82. Frage
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?
Antwort: B
Begründung:
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.
83. Frage
Select the answer that correctly completes the sentence.
Antwort:
Begründung:
Explanation:
The Describe tab is where you leverage generative AI to help build an agent by describing what you want the agent to do in natural language. Instead of manually configuring everything first, you provide the agent's purpose, target users, tone, and the tasks it should perform (for example: "Create an onboarding agent that answers HR policy questions in a friendly tone and references SharePoint policies"). Copilot then uses that description to propose an initial agent setup-such as suggested behaviors, starter prompts, and structure- accelerating agent creation and improving consistency. By contrast, the Configure tab is typically used to fine-tune and finalize settings (such as knowledge sources, actions, and other parameters) after the agent concept is established. A Copilot notebook or Copilot page can help organize content and outputs, but they are not the primary place where generative AI "builds" the agent definition. Using the Describe tab reflects best practice: start with clear intent and constraints, then refine configuration for governance, accuracy, and usability.
84. Frage
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