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| Section | Weight | Objectives |
|---|---|---|
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20-25% | - Align an AI strategy with Microsoft responsible AI policies
|
| Identify the business value of generative AI solutions | 35-40% | - Identify benefits and capabilities of generative AI solutions
|
| 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
|
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NEW QUESTION # 61
Your company purchases Microsoft 365 Copilot for its sales department. The sales department needs to find and summarize information across internal documents quickly. From which two data sources can the sales department obtain results by default? (Select TWO.)
Answer: C,E
NEW QUESTION # 62
An organization is exploring artificial intelligence solutions to automate content creation tasks such as drafting emails, generating marketing visuals, and producing software code suggestions.
Leadership wants to understand the core technology capability that enables these use cases.
Which of the following best describes generative AI?
Answer: C
Explanation:
A technology that creates new content such as text, images, or code based on learned patterns is correct because generative AI systems learn from large datasets and produce original outputs such as written content, visuals, audio, video, or code using models like large language models and diffusion models.
Reference:
https://learn.microsoft.com/en-us/training/modules/understand-foundations-generative-ai- business-leaders/1-introduction
NEW QUESTION # 63
You need to recommend a service that supports indexing information and knowledge mining by extracting insights from documents.
What should you recommend?
Answer: A
Explanation:
Document Intelligence in Foundry Tools (formerly part of Azure AI Services) is a powerful, cloud- based service designed to automate data processing by extracting structured information, key- value pairs, tables, and text from unstructured documents like PDFs, images, and forms.
As part of the Azure AI Foundry ecosystem, it is designed for knowledge mining and accelerating document-heavy workflows, allowing you to convert raw files into actionable data for downstream analytics.
Reference:
https://azure.microsoft.com/en-in/products/ai-foundry/tools/document-intelligence
NEW QUESTION # 64
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: uses reasoning capabilities to generate deep insights based on organizational data and the web.
The Researcher agent in Microsoft 365 Copilot __________________.
The Researcher agent in Microsoft 365 Copilot is specifically engineered as a "deep reasoning" specialist to handle complex, multi-step research tasks that go far beyond a simple Here is how it operates differently from the standard Copilot experience:
*-> Deep Reasoning: It utilizes advanced models (like OpenAI's deep research models) and chain-of-thought reasoning to develop a plan, evaluate context, and weigh evidence before generating a response.
*-> Dual-Source Grounding: It simultaneously scours the public web and your organizational data (emails, Teams chats, SharePoint files, and meetings) via Microsoft Graph.
Structured Outputs: Unlike a chat response, it produces comprehensive, source-cited reports with professional formatting, including headings and sometimes visuals.
Interactive Refinement: The agent often starts by asking clarifying questions to narrow its scope, ensuring the final deep-dive report actually matches your specific intent.
Extended Processing: It intentionally takes longer-sometimes minutes instead of seconds-to perform the "heavy lifting" of synthesizing disparate data points into a cohesive insight.
Reference:
https://learn.microsoft.com/en-us/copilot/microsoft-365/researcher-agent
NEW QUESTION # 65
You plan to meet with stakeholders to discuss how generative AI can benefit your company. You need to provide a relevant description of generative AI. Which description should you use?
Answer: C
Explanation:
Generative AI's defining capability is producing new content (text, images, code) in response to instructions-most commonly provided as natural language prompts. Option A best captures that general- purpose description for stakeholders: users ask questions or provide instructions, and the system generates responses or drafts content accordingly.
B is a specific application (translation) that generative AI can do, but it's not the defining description. C describes predictive analytics/forecasting, which is a different AI category. D describes recommendation systems, typically driven by user behavior and ranking algorithms, which can be enhanced by AI but is not the core definition of generative AI.
NEW QUESTION # 66
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