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NEW QUESTION # 81
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 # 82
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: Batch API
An organization that runs continuous, large-scale workloads with Azure OpenAI models should choose the _______ pricing model.
An organization that runs continuous, large-scale, non-time-sensitive workloads with Azure OpenAI models should choose the Batch API pricing model.
This approach provides significant cost savings and operational advantages for high-volume, asynchronous tasks.
For continuous, non-urgent workloads, the Batch API provides the best balance of cost- effectiveness and throughput, often allowing organizations to cut their AI inference costs in half while maximizing scalability.
Reference:
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/batch?view=foundry-classic
NEW QUESTION # 83
You are exploring how Microsoft 365 Copilot uses Microsoft Graph to deliver AI-powered experiences.
Which information in Microsoft Graph can Copilot use by default?
Answer: C
Explanation:
Microsoft 365 Copilot is designed to work within the Microsoft 365 ecosystem and use organizational context that is already governed by Microsoft Entra ID, Microsoft 365 permissions, and compliance controls. By default, Copilot can use Microsoft Graph signals and content that exist in Microsoft 365 workloads the user already has access to-most commonly emails, files, meetings, and chats . That corresponds to A .
The key concept is permission-trimming: Copilot doesn't magically gain access to everything; it can only surface or use data that the signed-in user is permitted to access in Microsoft 365. This is what makes Copilot valuable for productivity scenarios-summarizing email threads, drafting replies, generating meeting recaps, creating documents from your files, or pulling context from Teams chats-because those artifacts are already part of daily work and already subject to tenant policies.
The other options are not "by default" Microsoft Graph content for Copilot: B (file shares) typically requires additional integration or migration into Microsoft 365 repositories or indexing via connectors; it's not inherently available. C is unrelated to Microsoft 365 tenant work data. D (public web) is not "information in Microsoft Graph"; web grounding is a separate capability and not the default Graph workload data source referenced here.
NEW QUESTION # 84
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: D
Explanation:
Generative AI's defining characteristic is that it creates new content (text, images, code, summaries, drafts) in response to instructions-most commonly natural language prompts. Option C captures that general- purpose description in a stakeholder-friendly way: users provide prompts and the system generates responses or content. This framing is broad enough to cover common business value scenarios such as summarizing documents, drafting communications, creating marketing copy, generating reports, building assistants, and producing structured outputs from unstructured requests.
Option A is a single use case (translation), not the defining description. Option B describes predictive analytics
/forecasting, which is a different AI category focused on outcomes and probabilities rather than content creation. Option D describes recommendation systems, typically driven by ranking/behavioral signals; while AI can enhance recommendations, that is not the core definition of generative AI. Therefore, the most accurate and relevant description for stakeholders is C.
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:
Answer Area
* Microsoft Copilot provides a single AI app that has identical features and experiences across all Microsoft products. Answer: No
* Microsoft 365 Copilot delivers AI capabilities for business users that use Microsoft 365 apps. Answer:
Yes
* Microsoft Security Copilot helps companies understand risks and the organizational security posture.
answer: Yes
* No - "Copilot" is an umbrella brand across Microsoft, but the experiences are not identical . Different Copilots target different workloads (productivity, security, development, business apps) and therefore expose different capabilities, connectors, permissions models, and admin controls. For example, Microsoft 365 Copilot is embedded in Word/Excel/PowerPoint/Outlook/Teams, while Security Copilot is built for SOC workflows and integrates with security tooling; they are intentionally not the same app with the same features.
* Yes - Microsoft 365 Copilot is specifically designed to deliver generative AI assistance for users working in Microsoft 365 applications . It enhances common business tasks such as drafting, summarizing, meeting recap, creating presentations, and working with documents and communications-directly inside the Microsoft 365 productivity suite.
* Yes - Microsoft Security Copilot is focused on security operations and helps analysts understand threats, investigate incidents, and improve visibility into security posture. Its purpose is aligned with helping organizations interpret security signals and risk context more efficiently, which supports understanding organizational risk and posture.
NEW QUESTION # 86
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