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| Section | Weight | Objectives |
|---|---|---|
| Identify an implementation and adoption strategy for Microsoft AI apps and services | 20–25% | - AI adoption strategy
|
| Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35–40% | - Microsoft AI ecosystem
|
| Identify the business value of generative AI solutions | 35–40% | - AI value identification
|
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NEW QUESTION # 24
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 # 25
An organization is adopting generative AI solutions and wants to ensure systems are designed to minimize bias, protect user data, and operate transparently.
Which Microsoft Responsible AI principle best aligns with this strategy?
Answer: B
Explanation:
Fairness is correct because the fairness principle in Microsoft Responsible AI focuses on ensuring AI systems treat individuals and groups equitably, minimizing harmful bias and discriminatory outcomes. This includes evaluating training data, model behavior, and generated outputs to prevent unequal treatment. While the scenario also references transparency and data protection, minimizing bias is most directly aligned with the fairness principle.
References:
https://learn.microsoft.com/en-us/training/modules/embrace-responsible-ai-principles-practices/1- introduction
https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-use-of-ai-overview?view=foundry- classic
NEW QUESTION # 26
- 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:
Answer Area
* Microsoft Copilot in Outlook can automatically send follow-up replies to emails. Answer: No
* Microsoft Copilot in Outlook can identify and surface tasks mentioned in your emails. Answer: Yes
* Microsoft Copilot in Outlook can summarize long email threads and highlight action items and deadlines. Answer: Yes
1) No - Copilot in Outlook can draft email responses and help you take actions, but sending messages is not positioned as an automatic "follow-up reply" behavior. Microsoft describes capabilities such as "Draft with Copilot" (generating email drafts from prompts) and Copilot chat actions that update the mailbox, which implies user-directed execution rather than autonomous follow-up sending.
2) Yes - Copilot supports contextual help over your inbox and can help you "catch up" and understand what' s due, which includes surfacing action-oriented items from recent communications. This aligns with using Copilot to pull together summaries of email messages and identify what requires attention.
3) Yes - Microsoft explicitly documents email-thread summarization in Outlook: Copilot scans a conversation and produces a summary of key points. Microsoft also describes Copilot's summarization capability as extracting key points from threads, which is commonly used to surface what matters most (including actions to take) when the thread is long.
NEW QUESTION # 27
Your company creates a custom Azure Machine Learning model that uses a generative AI assistant.
The model initially delivers strong results. However, six months later, the model predictions become noticeably less accurate.
What is a possible cause of the issue?
Answer: B
Explanation:
This phenomenon is known as data drift.
It is one of the top reasons model accuracy declines after deployment. In the context of a generative AI assistant, data drift occurs when the statistical properties or distributions of the input data (the prompts or context provided by users) change significantly from what the model was originally trained on.
Key Causes of Data Drift
Changing User Behavior: Users may start interacting with the assistant differently, using new slang, jargon, or evolving topics of interest.
Real-World Changes: External events (like a pandemic or economic shift) can suddenly make the model's training data outdated and irrelevant.
Data Pipeline Issues: Changes in how data is collected, such as updated sensors or modified web forms, can alter the format or scale of inputs.
Seasonality: Patterns may fluctuate based on the time of year, such as different holiday shopping behaviors.
Impact on Generative AI
For a generative assistant, data drift often manifests as:
Reduced Relevance: Outputs feel outdated or fail to address contemporary topics.
Increased Hallucinations: When faced with unfamiliar input patterns, the model may produce factually incorrect or nonsensical responses.
Loss of Quality: Outputs may become less creative, more repetitive, or exhibit biased behavior.
Reference:
https://nexla.com/ai-infrastructure/data-drift
NEW QUESTION # 28
You are exploring how Microsoft 365 Copilot uses Microsoft Graph to deliver AI-powered experiences.
Which information in Microsoft Graph can Copilot use by default?
Answer: A
Explanation:
Microsoft 365 Copilot is designed to work within the Microsoft 365 ecosystem and use organizational context that is already governed by Microsoft Entra ID, Microsoft 365 permissions, and compliance controls. By default, Copilot can use Microsoft Graph signals and content that exist in Microsoft 365 workloads the user already has access to-most commonly emails, files, meetings, and chats . That corresponds to A .
The key concept is permission-trimming: Copilot doesn't magically gain access to everything; it can only surface or use data that the signed-in user is permitted to access in Microsoft 365. This is what makes Copilot valuable for productivity scenarios-summarizing email threads, drafting replies, generating meeting recaps, creating documents from your files, or pulling context from Teams chats-because those artifacts are already part of daily work and already subject to tenant policies.
The other options are not "by default" Microsoft Graph content for Copilot: B (file shares) typically requires additional integration or migration into Microsoft 365 repositories or indexing via connectors; it's not inherently available. C is unrelated to Microsoft 365 tenant work data. D (public web) is not "information in Microsoft Graph"; web grounding is a separate capability and not the default Graph workload data source referenced here.
NEW QUESTION # 29
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