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NEW QUESTION # 39
Your company is deploying Microsoft 365 Copilot. The deployment must provide users with access to the Researcher agent to search across data in Microsoft SharePoint. You need to recommend a licensing plan for the solution. What should you recommend?
Answer: B
Explanation:
The requirement is explicit: users must have access to the Researcher agent in Microsoft 365 Copilot and use it to search across organizational content stored in SharePoint. Microsoft's licensing guidance for Researcher indicates that Researcher is available to Microsoft 365 business and enterprise users who have a Microsoft
365 Copilot add-on license (and also to certain consumer "Microsoft 365 Premium" subscriptions).
That maps directly to option C. The Researcher agent is part of the Microsoft 365 Copilot experience for work tenants; it is not enabled merely by having a baseline Microsoft 365 subscription entitlement (B). Baseline subscriptions can provide access to Microsoft 365 apps and content repositories (like SharePoint/OneDrive), but the Researcher agent itself is a Copilot capability that requires the Copilot add-on to unlock.
Option A (pay-as-you-go) and D (usage-based consumption license in Azure) describe consumption models that apply to Azure services or agent metering in some scenarios, but they are not the standard licensing requirement to enable the built-in Researcher agent for Microsoft 365 Copilot users. When the goal is to enable Researcher inside Microsoft 365 Copilot for staff, the practical and correct recommendation is to assign the Microsoft 365 Copilot per-user add-on license to the users who need it, ensuring their SharePoint access is already properly permissioned and governed.
NEW QUESTION # 40
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:
* A manufacturer can use Azure Vision in Foundry Tools to identify product defects on an assembly line.
The answer: Yes
* A logistics company can use Azure Vision in Foundry Tools to recognize package shipping labels.
The answer: Yes
* The HR department at your company can only use Azure Vision in Foundry Tools to extract written content from Microsoft Word files. Answer: No Azure Vision in Foundry Tools provides computer vision capabilities to analyze images, including identifying visual features and reading text with OCR. Because it is designed to "analyze images" and support vision scenarios, it can be applied to manufacturing quality inspection use cases where the goal is to detect anomalies/defects from images captured on a production line. This aligns with statement 1 being Yes .
Statement 2 is also Yes because recognizing shipping labels is fundamentally text extraction from images (often plus some layout/field parsing). Azure Vision supports optical character recognition (OCR) to read printed text from images, and Microsoft documentation explicitly notes OCR can extract text from images such as product labels and similar real-world text surfaces-making shipping labels a direct fit.
Statement 3 is No because it is incorrectly restrictive. Azure Vision is not limited to extracting written content from Word documents, nor is OCR restricted to Word files. Vision capabilities apply broadly to images (and, depending on the capability, various document/image inputs) for tasks like image analysis and text recognition. HR could use it for many scenarios such as extracting text from scanned images, photos, or other visual inputs-not "only" Word files.
NEW QUESTION # 41
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 365 Copilot connectors enable you to index data from multiple sources to make the data available in Copilot. Answer: Yes
* You can build a custom Microsoft 365 Copilot connector when the available connectors do NOT meet your data integration requirements. Answer: Yes
* To use Microsoft 365 Copilot connectors, you need a Microsoft Copilot Studio license. Answer: No
* Yes - Microsoft 365 Copilot connectors (including synced connectors) are designed to bring external data into Microsoft Graph so it can be semantically indexed and surfaced in Microsoft 365 Copilot experiences. Microsoft explicitly states that synced connectors ingest/crawl content into Microsoft Graph where it's indexed and then available for Copilot prompts and citations.
* Yes - When Microsoft-provided connectors don't meet integration needs, organizations can create custom connectors (often referred to as Microsoft Graph connectors / custom connector development) to connect other data sources. This is a common extensibility path to index line-of-business repositories and make that content discoverable via Copilot and Microsoft Search.
* No - Using Microsoft 365 Copilot connectors does not require a Copilot Studio license. Connectors are generally configured and managed in Microsoft 365 admin/search experiences, and Microsoft's licensing guidance indicates that users can view connector data in Microsoft 365 Copilot and Microsoft Search with valid Microsoft 365/Office 365 licensing-Copilot Studio licensing is about building agents in Copilot Studio, not a prerequisite to use connectors.
NEW QUESTION # 42
You plan to meet with a group of stakeholders to discuss how generative AI can benefit your company.
You need to provide the stakeholders with a relevant description of generative AI during the meeting.
Which description should you use?
Answer: C
Explanation:
Generative AI (GenAI) is a form of artificial intelligence designed to create new, original content- such as text, images, video, audio, and code-in response to user-provided natural language prompts. Unlike traditional AI, which is often used for classification or analysis, GenAI mimics human cognitive processes to generate content based on patterns learned from vast datasets.
Key aspects of how Generative AI operates include:
*-> Natural Language Interaction: Users interact with GenAI using everyday, "plain-English" language, requiring no specialized coding skills to initiate requests.
*-> Prompt-Driven Output: The quality of the output depends largely on the prompt-a query, command, or description provided by the user.
Core Technologies: GenAI is powered by machine learning (ML), neural networks, and specifically Large Language Models (LLMs), which utilize transformer architectures to process inputs and predict content.
Iterative Refinement: Responses can be refined through further input, allowing users to collaborate with the tool to improve the output, such as modifying tone, length, or style.
Reference:
https://en.wikipedia.org/wiki/Generative_artificial_intelligence
NEW QUESTION # 43
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: to create new content, such as text, images, or code.
The primary goal of generative AI is ______________________.
Generative AI (GenAI) is a type of artificial intelligence designed to create new, original content- including text, images, videos, audio, and code-by learning patterns from large, existing datasets. Unlike traditional AI that analyzes or classifies data, GenAI produces unique, human- like outputs, such as written stories, realistic images, or computer code.
Reference:
https://www.ai21.com/glossary/foundational-llm/generative-ai/
NEW QUESTION # 44
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