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NEW QUESTION # 55
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 - For a user to access organizational data from a mobile device, the user needs a Microsoft
365 Copilot license.
To access, summarize, and query organizational data (such as emails, chats, documents in SharePoint/OneDrive, and calendar items) via Microsoft 365 Copilot on a mobile device, a user must have a Microsoft 365 Copilot license assigned to them.
This license is an add-on to a qualifying base subscription (such as Microsoft 365 E3, E5, Business Standard, or Business Premium).
Box 2: Yes
Yes - To reason over your organizational data by using Microsoft Graph, you need a Microsoft
365 Copilot license.
To use the advanced AI reasoning capabilities of Microsoft 365 Copilot-specifically to analyze, summarize, and query your organizational data (emails, chats, documents, meetings) via Microsoft Graph-you need a Microsoft 365 Copilot license.
Box 3: Yes
Yes - To use the Analyst agent, you need a Microsoft 365 Copilot license To use the Analyst agent, you generally need a Microsoft 365 Copilot add-on license.
While a basic version of Copilot Chat is available for many Microsoft 365 and Office 365 subscribers at no extra cost, advanced "Frontier" agents like Analyst and Researcher are specifically built for deep reasoning and multi-step tasks, which are reserved for licensed Copilot users.
Reference:
https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-minimum- requirements
https://learn.microsoft.com/en-us/copilot/faq
https://it.osu.edu/news/2025/07/22/new-microsoft-365-copilot-agents-available-research-and- analysis
NEW QUESTION # 56
Your company uses a fine-tuned generative AI solution trained on data that is representative of the general population. You discover that some of the generated responses include inappropriate or exclusionary language based on ableist assumptions. You need to prevent the inappropriate responses. Your solution must minimize costs. What should you do?
Answer: B
Explanation:
The problem is harmful output language (inappropriate or exclusionary/ableist content). The requirement says you must prevent those responses while minimizing costs . The most cost-effective and direct control is to add a content-moderation filter (B) to screen and block (or rewrite/escalate) responses that violate your safety or inclusion standards. Moderation can be applied at the output stage (and often also at input) without retraining the model, which keeps costs and delivery time low. It also provides an immediate safety layer even if the underlying model occasionally produces biased or exclusionary phrasing.
Option A is not reliable: a newer model version might reduce issues but does not guarantee elimination of ableist language, and you still need policy enforcement. Option C (retraining on only inclusive content) can help, but it is typically expensive (data curation, re-training, re-evaluation, regression testing, re-deployment) and not the "minimize costs" path-also it can reduce coverage/utility if overly restrictive. Option D is clearly wrong because it would amplify the harmful behavior.
In practice, the lowest-cost, high-impact approach is to implement moderation thresholds and handling actions (block, warn, regenerate with constraints, human review) and then, if needed, follow up later with deeper mitigations like prompt constraints, targeted fine-tuning, red-teaming, and continuous evaluation.
NEW QUESTION # 57
Your company is evaluating the use of Microsoft Copilot Studio to support business process automation and employee self-service. Which two capabilities are directly supported in Copilot Studio? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Microsoft Copilot Studio is built for creating and managing custom agents that handle employee self-service and business process automation. The two capabilities that align directly to this purpose are D and E .
D is correct because Copilot Studio lets you build agents that connect to enterprise data and systems and then perform actions on behalf of users. This is the foundation for automation and self-service: the agent can answer questions using connected knowledge sources and can also trigger workflows (for example, submitting a request, creating a ticket, checking status, or updating records) through connectors and actions.
These integrations allow the agent to move beyond "chat" into real operational outcomes, which is exactly what business process automation requires.
E is correct because Copilot Studio provides the controls needed to customize how an agent behaves and responds. This includes defining conversational topics/flows, setting instructions and guardrails, shaping tone and response style, configuring fallback behavior, and controlling how generative answers are produced (for example, using approved knowledge sources). Customization ensures the agent behaves consistently with company policies and provides reliable employee experiences.
The other choices represent different Microsoft products: A is aligned to security operations tooling (Security Copilot), B relates to information protection/governance (Purview), and C is a Microsoft 365 Copilot capability inside Word/PowerPoint rather than a Copilot Studio feature.
NEW QUESTION # 58
Your company manages an online catalog of office supplies. You plan to use a generative AI solution to create product descriptions for your company's website. The solution must ensure descriptions can be posted immediately after creation, enable selection/inclusion of product details, and be fast and simple for non- technical staff. What is the best type of solution to use? Select the BEST answer.
Answer: A
Explanation:
The task is high-volume content generation with consistent structure and immediate publishing: product descriptions that reliably include chosen product attributes (brand, specs, materials, dimensions, use cases) and can be produced quickly by non-technical staff. The best fit is a fine-tuned LLM (D) because fine-tuning can standardize tone, format, and completeness against your catalog schema, reducing variability and minimizing manual editing before posting. With a fine-tuned model, you can strongly enforce style guidelines (length, voice, prohibited claims), and you can template prompts so staff only supply product fields and get publish-ready copy.
Option A is not best: Azure Machine Learning is excellent for predictive models but is unnecessary for straightforward text generation. B (Researcher) is optimized for multistep research across work data + web, not deterministic product copy generation. C (interactive agent) can help collect requirements, but it's more complexity than needed; the core need is consistent text generation from structured product data, which fine- tuning addresses directly while keeping user interaction simple (fill fields # generate description).
NEW QUESTION # 59
What is considered a best practice when forming an AI adoption team in an enterprise environment?
Answer: A
Explanation:
Forming a cross-functional AI adoption team is a foundational best practice for enterprise environments.
A diverse "AI Center of Excellence" (CoE) or steering committee ensures that technical capabilities do not develop in isolation from regulatory requirements or business goals.
Key Representatives & Their Roles
*-> Executive Leadership: Champions the vision, secures budget, and ensures the AI strategy aligns with high-level corporate priorities.
*-> Legal & Compliance: Manages risk related to data privacy (e.g., GDPR), intellectual property, and evolving AI regulations to maintain stakeholder trust.
*- Business Units: Identify high-value use cases, define success metrics (KPIs), and ensure the AI tools actually solve operational pain points.
IT & Data Science: Provides the technical architecture, manages data pipelines, and handles the actual deployment and monitoring of models.
Change Management: Focuses on the "human" side of adoption, including upskilling employees and addressing fears about job displacement.
Reference:
https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/scenarios/ai/center-of- excellence
NEW QUESTION # 60
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