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NEW QUESTION # 11
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: C
Explanation:
To use the Researcher agent for searching across Microsoft SharePoint data, you need the Microsoft 365 Copilot add-on license.
The Researcher agent is a first-party reasoning agent included in the core experience for users with a paid Copilot license. It is designed for multi-step, in-depth research grounded in your Microsoft Graph data, including SharePoint, OneDrive, emails, and Teams.
Required Licensing Components
To deploy this capability, your organization must have:
1. A Qualifying Base License:
Enterprise: Microsoft 365 E3 or E5, or Office 365 E3 or E5.
Business: Microsoft 365 Business Standard or Business Premium.
*-> 2. Microsoft 365 Copilot Add-on:
This paid license (typically ~$30/user/month) unlocks the Researcher agent and the ability to search internal tenant data like SharePoint.
Reference:
https://learn.microsoft.com/en-us/copilot/microsoft-365/faq-researcher
NEW QUESTION # 12
Your company has a Microsoft 365 subscription and uses Microsoft 365 Copilot Chat. Some users need to build and use declarative agents that can access work data. Which type of license should you recommend for the users?
Answer: A
Explanation:
The requirement is specific: users must build and use declarative agents that can access work data (tenant data
/ organizational context). Microsoft's licensing guidance for Copilot extensibility ties use of declarative agents to having the appropriate Copilot entitlement that enables tenant grounding and organizational data access. In Microsoft's cost and licensing considerations for declarative agents, Microsoft states that to use a declarative agent, users must have a Microsoft 365 Copilot add-on license (or an equivalent Copilot Chat add- on path tied to eligible licensing). Therefore, among the provided options, the best recommendation is A.
Option B (Copilot Studio user license) is primarily about authoring/building agents in Copilot Studio, but it is not, by itself, the licensing prerequisite that grants end users the right to use those agents with full Microsoft
365 Copilot capabilities and work-data grounding inside the Microsoft 365 Copilot environment. Publishing
/building can be separate from the end-user entitlement to use the agent with organizational context.
Option C (Copilot Chat pay-as-you-go) can enable usage-based access to declarative agents in some configurations, but the question asks for the best license recommendation for users who need work-data access through declarative agents. The Microsoft 365 Copilot add-on is the straightforward, fully supported entitlement for that scenario.
NEW QUESTION # 13
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 # 14
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
An AI champions program includes users who advocate for AI by learning, sharing, and identifying use cases.
Champions are not primarily the infrastructure team, analytics team, or executive strategy group. Their value is adoption enablement. They help colleagues understand AI tools, share practical usage patterns, collect feedback, and discover department-specific opportunities where AI can improve productivity or decision- making. Strategy and governance are usually handled by leadership, AI councils, legal, risk, compliance, security, and technical stakeholders. Infrastructure is handled by IT and engineering teams. Champions sit closer to end users and help translate the AI strategy into practical daily usage. This makes them critical for scaling proficiency and adoption across the organization.
NEW QUESTION # 15
Your company plans to use generative AI to help project managers and engineers work with construction blueprints stored as PDF files. You need to recommend a generative AI solution that processes both images and text, summarizes building design, answers questions, and extracts information such as locations of electrical, heating, and plumbing systems. What should you recommend?
Answer: D
Explanation:
Construction blueprints in PDFs often contain a mix of text, symbols, linework, and diagrams . The requirements include understanding both visual layout (where systems are located) and textual annotations , producing summaries, and answering Q & A. That combination requires a multimodal generative AI approach-models that can reason over images and text together. Therefore, A is best.
OCR alone (B) can extract printed text, but it won't reliably interpret diagram geometry, symbols, or spatial relationships (e.g., "electrical riser is on the east core near gridline B-4"). Text completion (C) is too generic and doesn't address image understanding. Document summarization (D) is only one requirement (summary) and still depends on first extracting/understanding both visual and textual elements.
A multimodal solution can ingest the PDF pages as images (or rendered page images) plus extracted text, then answer questions grounded in both modalities. In practice, you may combine OCR and layout extraction with a multimodal LLM so the model can reference drawing regions, legends, callouts, and system diagrams to produce accurate explanations and field extractions.
NEW QUESTION # 16
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