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| Section | Weight | Objectives |
|---|---|---|
| Identify an implementation and adoption strategy for Microsoft AI apps and services | 20โ25% | - AI adoption strategy
|
| Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35โ40% | - Microsoft AI ecosystem
|
| Identify the business value of generative AI solutions | 35โ40% | - AI value identification
|
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NEW QUESTION # 91
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 - Using incomplete or poor-quality data during generative AI model training can increase costs.
Using incomplete or poor-quality data during generative AI (GenAI) model training significantly increases costs, acting as a major cause of project failure and inefficiencies. This phenomenon is driven by the "garbage in, garbage out" principle, where flawed inputs lead to, at best, unreliable outputs and, at worst, extensive, costly, and time-consuming remediation.
Box 2: Yes
Yes - AI models rely on training data to learn patterns and identify relationships to produce outputs.
At their core, AI models function like pattern-recognition engines; they don't "know" things in the human sense, but rather calculate the statistical likelihood of what should come next based on the data they've processed.
The quality and variety of that training data directly dictate how nuanced and accurate those relationships become. This is why we see such a massive leap between models trained on small, specific datasets versus Large Language Models (LLMs) trained on the vast diversity of the internet.
Box 3: Yes
Yes - Generative AI models trained on non-representative datasets can produce inaccurate or unbalanced results.
When generative AI models are trained on non-representative datasets, they often inherit and amplify existing societal prejudices, leading to systematic distortions known as representation bias. These models fail to generalize fairly across broader populations, resulting in outputs that marginalize or inaccurately depict minority groups.
NEW QUESTION # 92
Your company is reviewing a new AI solution before deploying it. The company wants to ensure that the solution follows Microsoft responsible AI principles. What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: B
Explanation:
Following Microsoft's responsible AI principles--fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability--requires a structured, end-to-end testing approach to identify and mitigate bias. Testing to ensure fair and consistent outcomes involves auditing data, validating model performance across subgroups, and using specific technical tools.
Reference:
https://www.microsoft.com/en-us/research/blog/responsible-ai-the-research-collaboration-behind-new-open-source-tools-offered-by-microsoft
NEW QUESTION # 93
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
Prompt engineering is the practice of designing, structuring, and refining text inputs given to a generative AI model. By providing explicit constraints, formatting parameters, and guidelines, it directly steers the model to yield highly accurate and relevant output.
Box 2: No
The part of the prompt that includes examples to demonstrate the desired output structure or style is called Examples (often referred to in context as few-shot examples or learning data). The Instruction is the specific task, command, or action you want the model to perform (e.g.,
"Summarize this document" or "Translate the text").
Box 3: Yes
The Context provides background data, domain-specific details, situational boundaries, or source documents (such as grounding data) that the model must reference or operate within to formulate a targeted and contextualized response.
NEW QUESTION # 94
Your company plans to build a generative AI solution based on internal data. You recommend using Microsoft Foundry as a starting point to develop and manage the solution. What is a key benefit of using Microsoft Foundry for this project?
Answer: D
Explanation:
Microsoft Foundry is positioned as a unified, enterprise-grade platform that helps organizations build, deploy, scale, and govern AI apps and agents-especially generative AI solutions that need to work with business context and internal data. That directly aligns with A : Foundry provides a scalable platform for developing and deploying generative AI solutions. Microsoft describes Foundry as an interoperable platform that makes it easier to build, deploy, and scale AI apps and agents, while also providing centralized security and governance features for organizations.
B is incorrect because Foundry does not remove model choice/configuration; in fact, it supports selecting among models and using tools/frameworks to build solutions. You still choose appropriate model(s), configure endpoints, and design grounding and safety controls.
C and D are not the best characterization of Foundry's primary benefit. While Foundry offers "friendly interfaces," Microsoft primarily positions it for developers, model builders, and enterprise AI operations
-not as a low-code platform for business users (that role is more commonly filled by Copilot Studio/Power Platform).
NEW QUESTION # 95
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 # 96
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