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NEW QUESTION # 52
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: B
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 # 53
You are creating a custom analytics agent in the Microsoft 365 Copilot app. The agent will use Microsoft Excel files that contain sales data as knowledge.
You need to ensure that the agent can create visualizations, perform mathematical operations, create aggregations, and analyze the data in the files.
What should you add to the agent?
Answer: D
Explanation:
When building a custom analytics agent in Microsoft 365 Copilot that must process structured data from Excel files, advanced analytical capabilities are required. According to Microsoft AI Business Professional guidance, tasks such as performing mathematical calculations, generating aggregations, creating charts, and conducting structured data analysis require programmatic execution capabilities rather than simple text generation.
A code interpreter enables the agent to run Python-based analytical operations in a secure execution environment. This allows the agent to manipulate datasets, compute totals and averages, perform grouping and filtering, and generate visualizations such as bar charts or line graphs based on the Excel data. The interpreter bridges the gap between natural language instructions and executable analytical logic.
An image generator is designed for creative visual content and is unrelated to structured data analytics.
Suggested prompts and templates improve usability and consistency but do not provide computational or visualization capabilities.
Therefore, to enable mathematical operations, aggregation, data analysis, and visualization of Excel sales data, the correct component to add to the agent is a code interpreter.
NEW QUESTION # 54
Which of the following is a potential ethical issue with AI in business?
Answer: B
Explanation:
AI models can perpetuate or even exacerbate bias if they are trained on biased data. For example, if a hiring algorithm is trained on historical data where certain groups were underrepresented, it may unintentionally favor certain candidates over others.
NEW QUESTION # 55
A pharmaceutical company uses Microsoft 365 Copilot to draft regulatory submission documents that reference clinical trial data. The compliance team wants to implement safeguards against AI fabrication in these high-stakes documents. Which TWO practices would most effectively mitigate fabrication risk? (Choose Two.)
Answer: A,D
Explanation:
Option A - this directly addresses the root risk: AI-generated content can contain fabricated or misattributed figures that look plausible. Tracing every data point back to its source (raw trial data, statistical analysis reports, original study documentation) is the only way to confirm accuracy rather than assume it. For a regulatory submission, this kind of source verification isn't optional - it's the standard of evidence regulators expect regardless of whether AI was involved in drafting.
Option C - verification of individual data points isn't sufficient on its own; the content also needs to be evaluated for scientific coherence, correct interpretation of results, appropriate context, and whether conclusions drawn are actually supported by the underlying data. Subject matter experts (clinical scientists, regulatory affairs specialists) are positioned to catch subtler issues - like statistically accurate numbers used in a misleading context - that a simple fact-check wouldn't surface.
NEW QUESTION # 56
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: C
Explanation:
When a file from a Microsoft SharePoint site is added as a reference in a Microsoft 365 Copilot notebook, Copilot links to the document rather than copying it. Consequently, when the prompt runs again, Copilot automatically reads the most recent version of the file, ensuring updates are reflected.
Reference:
https://support.microsoft.com/en-us/topic/how-microsoft-365-copilot-notebooks-works-4071d73d-8bdd-478f-8968-8dc1d7c3d43e
NEW QUESTION # 57
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