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NEW QUESTION # 72
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 # 73
Your company manages a website that publishes daily news articles. You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles. What should you include in the recommendation?
Answer: D
Explanation:
The requirement is to analyze text and identify "people, locations, and companies" mentioned in news articles. This is a classic Named Entity Recognition (NER) / entity extraction scenario, which falls under natural language processing. Azure Language in Foundry Tools is the correct choice because it provides text analytics capabilities that detect and categorize entities in unstructured text-commonly including Person
, Location , and Organization . This enables downstream experiences such as topic tagging, search filters (e.
g., "all articles mentioning Company X"), trend dashboards (top people/places mentioned this week), and improved content discovery.
The other options do not match the requirement. Content Safety focuses on moderating harmful or policy- violating content (for example, hate, violence, self-harm, sexual content) and is not the primary tool for extracting named entities. Azure Vision is for analyzing images and performing OCR; it would only be relevant if the articles were images or scans, but the task here is entity extraction from text articles. Azure Speech is for speech-to-text, text-to-speech, and audio analysis; it would be used if your input were audio recordings rather than written articles.
Therefore, to identify key entities (people, locations, companies) from daily news article text, the best recommendation is Azure Language in Foundry Tools .
NEW QUESTION # 74
Drag and Drop Question
Match the business scenario to the appropriate AI solution design approach.
To answer, drag the AI solution from the column on the left to its business scenario on the right.
Each solution may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Use Microsoft 365 Copilot
Summarizing emails (Outlook) and creating presentations (PowerPoint) are native, out-of-the-box productivity capabilities built directly into Microsoft 365 Copilot. There is no need to develop a custom solution or build novel connectors here; the standard user license fully covers these daily workplace workflows.
Box 2: Build with Microsoft Copilot Studio
Creating a customized, conversational agent (formerly Power Virtual Agents) to handle specific internal business logic-like answering HR policy questions and triggering a workflow to submit leave requests-falls squarely under Microsoft Copilot Studio. This allows you to build a tailored chatbot with specific conversation topics, triggers, and actions.
Box 3: Build with Azure Machine Learning
Predictive maintenance schedules require deep data science workflows, including custom data ingestion from manufacturing sensors (IoT), training custom regression or classification models, and processing time-series data. This requires the robust, full-lifecycle data science capabilities of Azure Machine Learning rather than an LLM-based productivity tool.
Box 4: Extend with Microsoft 365 Copilot connectors
The finance department wants to use their familiar productivity tools (like Excel or Teams via Microsoft 365 Copilot) but needs those tools to access outside, third-party data silos (ERP data).
To allow the native Copilot to securely read and interact with non-Microsoft 365 data repositories, you must Extend with Microsoft 365 Copilot connectors (via Graph connectors or Power Platform connectors).
NEW QUESTION # 75
- Select the answer that correctly completes the sentence.
The primary goal of generative AI is __________.
Answer:
Explanation:
Explanation:
to create new content, such as text, images, or code.
Generative AI is defined by its ability to produce new outputs -content that did not previously exist in exactly that form-based on patterns learned from large datasets. That content can be text (emails, summaries, policies), images (design mockups, marketing visuals), code (snippets, scripts), audio, and more. Therefore, the correct completion is "to create new content, such as text, images, or code." The other options describe different AI categories. "Analyze trends and classify data sources" is primarily analytical/classification work, typically associated with traditional machine learning models (for example, clustering, categorization, fraud classification). "Make predictions based on historical data" is predictive AI (forecasting demand, predicting churn, estimating failure probability). While generative AI can assist those workflows by explaining results or drafting narratives, its primary purpose is not classification or forecasting-it is content synthesis.
In practical business value terms, this is why generative AI is commonly deployed for productivity tasks like drafting and rewriting content, summarizing long documents, generating customer communications, creating knowledge assistants, and producing structured outputs (tables, bullet lists, JSON) from unstructured prompts.
The model's differentiator is its ability to transform instructions and context into coherent, human-like content.
NEW QUESTION # 76
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 meets the following business requirements:
- Processes both images and text
- Summarizes the design of a building
- Answers user questions about a building's design
- Extracts information from blueprints, such as the location of
electrical, heating, and plumbing systems
What should you recommend?
Answer: A
Explanation:
The decisive requirement is the first one: "Processes both images and text." Blueprints are inherently visual (floor plans, schematic diagrams, spatial layouts) and textual (labels, dimensions, annotations). A multi-modal model can ingest the PDF as imagery and text together and reason across both - which is what every one of the four requirements depends on.
Summarizing a building's design, answering questions about it, and locating electrical/heating/plumbing systems all require understanding the visual diagram, not just reading words off the page.
NEW QUESTION # 77
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