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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify the business value of generative AI solutions | 35-40% | - Identify benefits and capabilities of generative AI solutions
|
| Topic 2: Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20-25% | - Plan for AI adoption across the organization
|
| Topic 3: Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35-40% | - Identify benefits and capabilities of Azure AI services
|
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NEW QUESTION # 84
Your company sells hiking and camping gear online. You need a generative AI solution that can interact with customers and ask questions about their needs. What should you include in the solution?
Answer: C
Explanation:
The requirement is an interactive generative AI experience that can converse with customers and ask clarifying questions (for example: "What climate are you hiking in?", "How many people will share the tent?", "What's your budget?", "Do you prioritize weight or comfort?"). The best solution component for that conversational, question-and-answer interaction is a chatbot (A), powered by a generative AI model.
A chatbot provides the dialog framework: maintaining conversational context across turns, prompting the user for missing requirements, and responding in natural language. This makes it suitable for customer support, guided shopping assistance, troubleshooting, and pre-sales Q & A-especially when customers don't know exactly what they need and benefit from a guided conversation.
The other options don't match the core requirement. Predictive AI (B) forecasts outcomes (like demand or churn) and isn't inherently conversational. Computer vision (C) analyzes images (like recognizing products from photos) and doesn't address asking questions in dialogue. A recommendation engine (D) can be useful in ecommerce, but it typically suggests items based on behavior or attributes; it doesn't by itself provide a conversational flow that asks users questions and adapts responses in natural language. In practice, you can combine a chatbot with a recommendation engine behind the scenes-but the "include in the solution" component that directly satisfies interactive questioning is the chatbot.
NEW QUESTION # 85
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:
Microsoft 365 Copilot can amplify existing data governance challenges. Answer: Yes
Implementing Microsoft 365 Copilot reduces data management costs. Answer: No
Microsoft 365 Copilot can help IT teams manage data risks. Answer: Yes
Yes - Copilot relies on the permissions, sharing links, and content exposure that already exist in Microsoft 365. If an organization has oversharing (for example, broadly accessible SharePoint sites, poorly scoped Teams, unmanaged external sharing, or excessive access rights), Copilot can surface that content more easily through natural-language querying. In other words, Copilot doesn't create new permissions, but it can increase visibility of governance gaps and make the impact of weak information architecture more apparent.
No - It is not accurate to claim that implementing Copilot inherently reduces data management costs.
Adoption often requires up-front investment in data hygiene, sensitivity labeling, retention, permission cleanup, DLP, and change management. Some organizations may realize productivity gains or reduced effort over time, but "reduces costs" is not a guaranteed outcome and depends heavily on the current state of governance, the scale of remediation needed, and how Copilot is rolled out.
Yes - Copilot can support IT risk management when deployed with the right controls: identity and access governance, sensitivity labels, DLP policies, retention, auditing, and compliance tooling. Because Copilot operates within the Microsoft 365 security/compliance boundary and honors existing access controls, IT can apply centralized policies to reduce leakage risk and improve overall control of how organizational data is accessed and used.
NEW QUESTION # 86
You need to help analysts investigate incidents across endpoint, identity, cloud, and security operations data.
The analysts must summarize alerts, identify affected resources, and review recommended next steps by using natural language.
What should you use?
Answer: D
Explanation:
The correct answer is A. Microsoft Security Copilot. The requirement is clearly a security operations scenario: analysts must investigate incidents across endpoint, identity, cloud, and security operations data.
Microsoft Security Copilot is designed for security teams and supports natural-language investigation, alert summarization, incident context, affected-resource identification, and recommended response actions.
Microsoft 365 Copilot is focused on productivity tasks such as drafting, summarizing, and analyzing content in Microsoft 365 apps. Azure Document Intelligence extracts structured information from documents such as forms and invoices. Microsoft Copilot Studio is used to build and customize agents for business workflows.
Because the scenario centers on security incident investigation and response guidance, Microsoft Security Copilot is the correct solution.
NEW QUESTION # 87
Your company stores thousands of reports and documents across multiple systems.
You recommend using Azure AI Search as part of a new generative AI solution to improve information discovery.
What is a key benefit of using Azure AI Search in this scenario?
Answer: C
Explanation:
In an environment with tens of thousands of reports and documents across multiple systems, Azure AI Search (formerly Cognitive Search) significantly improves information discovery through several core mechanisms:
*-> Natural Language & Semantic Search: Unlike traditional keyword search, it understands the intent and context behind queries. Users can ask conversational questions (e.g., "Find all contracts mentioning GDPR compliance in 2023") and receive relevant results even without exact keyword matches.
*-> Unified Multi-System Ingestion: It uses indexers to automatically pull and unify data from diverse sources such as SharePoint, Azure Blob Storage, SQL databases, and Cosmos DB into a single searchable index.
AI-Powered Content Enrichment: During indexing, it can apply cognitive skills to extract information from unstructured data. This includes:
- Optical Character Recognition (OCR) to make scanned reports searchable.
- Entity Recognition to identify and tag people, locations, and organizations.
- Key Phrase Extraction and language detection to enhance metadata.
-Hybrid Retrieval: It combines vector search (for semantic meaning) with full-text search (for specific terms like product codes or names), merging them via Reciprocal Rank Fusion (RRF) to ensure high precision and recall.
Semantic Ranking: An advanced L2 ranking layer uses deep learning models from Bing to re- order the top search results, ensuring the most contextually relevant answers appear first.
This setup is commonly used as the retrieval foundation for Retrieval-Augmented Generation (RAG), where search results are fed into Large Language Models (LLMs) like GPT-4 to provide grounded, human-like answers based on your enterprise data.
Reference:
https://azure.microsoft.com/en-us/products/ai-services/ai-search
NEW QUESTION # 88
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 Foundry provides a unified platform for developers and data professionals to create custom end-to-end AI solutions. answer: Yes
* Microsoft Foundry provides a unified platform for low-code developers and business users to create custom end-to-end AI solutions. answer: No
* You need a Microsoft 365 Copilot license to access Microsoft Foundry services. Answer: No
* Yes - Microsoft Foundry is positioned by Microsoft as a unified AI platform for building, deploying, and scaling AI apps and agents, with enterprise governance in a single environment. Microsoft explicitly describes Foundry as enabling developers (and, in broader descriptions, data professionals
/enterprises) to build and operate AI solutions end-to-end, which aligns with the statement.
* No - While Foundry can streamline AI development workflows and may include experiences that reduce complexity, the statement specifically targets low-code developers and business users creating custom end-to-end AI solutions. In Microsoft's ecosystem, that "low-code/business-user" agent/app- building lane is more directly associated with tools like Copilot Studio/Power Platform , whereas Foundry is primarily presented as the platform for developers and technical teams building and governing AI solutions. Therefore, as written, the statement is not the best characterization.
* No - Access to Microsoft Foundry services is not gated by a Microsoft 365 Copilot license. Foundry is part of the Azure AI platform experience (formerly Azure AI Studio) and is accessed through Azure, using Azure subscription-based service consumption. Microsoft 365 Copilot licensing is for Microsoft
365 Copilot experiences, not a prerequisite to use Foundry services.
NEW QUESTION # 89
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