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| Section | Weight | Objectives |
|---|---|---|
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35-40% | - Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot
|
| Identify the business value of generative AI solutions | 35-40% | - Identify the foundational concepts of generative AI
|
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20-25% | - Align an AI strategy with Microsoft responsible AI policies
|
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NEW QUESTION # 45
- Select the answer that correctly completes the sentence.
A __________ AI solution recognizes patterns in large and complex datasets to create new and original content.
Answer:
Explanation:
Explanation:
generative
The sentence describes an AI system that creates new, original content (for example, text, images, audio, code) by learning patterns from large datasets. That is the defining characteristic of generative AI , so
"generative" is the correct completion.
To clarify the contrasts: predictive AI primarily uses historical data to forecast outcomes or estimate probabilities (for example, predicting next-quarter sales, predicting equipment failure, or classifying whether a transaction is fraudulent). It focuses on what is likely to happen or which category something belongs to , rather than producing novel content. Prescriptive AI goes a step further by recommending actions or decisions (for example, "increase inventory by X," "route tickets to team Y," "schedule maintenance next week") often using optimization and business constraints.
Generative AI, by comparison, is focused on content synthesis . It identifies statistical patterns and relationships in training data and then generates new sequences that resemble the learned distribution while being responsive to prompts. In business use cases, that translates to drafting emails and documents, summarizing reports, generating meeting notes, creating product descriptions, producing marketing copy, and building chat-based assistants. While all three categories can "recognize patterns," only generative AI is explicitly characterized by the ability to produce new and original content , which is what the question is testing.
NEW QUESTION # 46
- What should you use for each task? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Extracting structured data from forms and invoices: Answer: Azure Document Intelligence in Foundry Tools
* Summarizing written content from business reports: Answer: Azure Language in Foundry Tools
* Generating descriptive text for uploaded images: Answer: Azure Vision in Foundry Tools These three tasks align to three different Azure AI capability families: document processing, language understanding/generation, and computer vision.
* Forms and invoices are semi-structured documents where the business need is to extract specific fields (IDs, names, totals, dates) reliably into structured output. Azure Document Intelligence is designed for intelligent document processing and includes prebuilt models (such as invoices) as well as custom extraction options, making it the correct choice for structured data extraction from documents.
* Summarizing written business reports is an NLP task focused on compressing long text into key points, themes, and action items. Azure Language provides language processing capabilities (including summarization features within language service capabilities), so it is the best fit for summarization scenarios.
* Generating descriptive text for images (image captioning/description) is a computer vision task.
Azure Vision can analyze uploaded images and return descriptions/captions and other visual insights, which directly matches the requirement to produce descriptive text from images.
NEW QUESTION # 47
Your company discovers that several employees use personal ChatGPT accounts to assist with work tasks. You are concerned about proprietary data being shared externally.
You need to evaluate the business value of rolling out Microsoft 365 Copilot.
Which capability is a key benefit of using Copilot instead of a personal ChatGPT account?
Answer: A
Explanation:
A major, defining advantage of Microsoft 365 Copilot over a personal ChatGPT account is its deep, native integration with an organization's internal data-including emails, documents, chats, and meetings-while strictly adhering to existing Microsoft 365 security, compliance, and privacy policies.
Here is a breakdown of why this is a critical differentiator:
1. Access to Internal Data ("Grounding")
Microsoft 365 Copilot: Accesses your organization's data via Microsoft Graph. It can summarize, analyze, and create content based on your Word documents, emails in Outlook, spreadsheets in Excel, and meetings in Teams.
Personal ChatGPT: Does not have access to your private company files, emails, or internal systems unless you manually copy and paste that information into the chat.
2. Adherence to Security and Compliance Policies
Microsoft 365 Copilot: Inherits your organization's existing security configurations, such as sensitivity labels, Data Loss Prevention (DLP) policies, and identity-based access controls. If you do not have permission to view a file, Copilot will not use that file to answer your prompt.
Personal ChatGPT: Operates outside your corporate security boundary. Using a personal account to analyze company data can risk leaking confidential information to a third-party, which is typically against corporate security policies.
Reference:
https://www.microsoft.com/en-us/microsoft-365-copilot/copilot-vs-chatgpt-enterprise
NEW QUESTION # 48
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: No
No - Microsoft 365 Copilot provides a single AI app that has identical features and experiences across all Microsoft products.
Microsoft 365 Copilot is not a single, identical app with uniform features across all Microsoft products. Instead, it is an AI-powered assistant embedded within the existing Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, Teams, etc.), and its capabilities are tailored to the specific functions of each application.
Box 2: Yes
Yes - Microsoft 365 Copilot delivers AI capabilities for business users that use Microsoft 365 apps.
Microsoft 365 Copilot is an AI-powered assistant designed to enhance productivity and collaboration by integrating directly into Microsoft 365 apps, including Word, Excel, PowerPoint, Outlook, and Teams. It acts as a "second pilot" that works alongside users, utilizing Large Language Models (LLMs) and Microsoft Graph to automate routine tasks, draft content, and provide real-time insights based on organizational data.
Box 3: Yes
Yes - Microsoft Security Copilot helps companies understand risks and the organizational security posture.
Microsoft Security Copilot is a generative AI-powered security tool designed to help organizations understand risks, assess their security posture, and accelerate threat response. By integrating with the Microsoft Security portfolio-including Defender XDR, Microsoft Sentinel, and Microsoft Intune-it provides a centralized view of security data and offers natural language, actionable guidance.
Reference:
https://techcommunity.microsoft.com/blog/microsoft365copilotblog/copilot-chat-comes-to-the- microsoft-365-apps/4453349
https://www.quest.com/learn/what-is-microsoft-copilot-for-security.aspx
NEW QUESTION # 49
Your company wants to ensure that AI solutions are used responsibly and align with company values and compliance requirements.
You need to establish governance principles for AI use.
Which two actions should you perform? Select the two BEST answers. Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
To establish robust governance for AI, a company must define accountability norms that bridge the gap between business objectives and technical execution. Effective frameworks ensure that specific individuals-not just committees-are responsible for AI outcomes across the entire lifecycle.
Core Accountability Strategies
Establish Clear Ownership: Assign a specific person or team as the "accountable owner" for each AI application. This includes defining decision rights for who can approve, modify, or retire a system.
To establish an effective AI governance framework, you should implement a structured review process that translates high-level ethical principles into operational practice. This process serves as a "brake pedal" for the organization, ensuring innovation remains safe and aligned with corporate values.
Reference:
https://www.databricks.com/blog/ai-governance-best-practices-how-build-responsible-and- effective-ai-programs
NEW QUESTION # 50
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