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| Thema | Einzelheiten |
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| Thema 1 |
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| Thema 2 |
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| Thema 3 |
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36. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
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.
37. Frage
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?
Antwort: D
Begründung:
Azure Language in Foundry Tools can analyze text and identify main entities, including people, locations, and companies. This capability is officially known as Named Entity Recognition (NER).
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/language
38. Frage
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?
Antwort: D
Begründung:
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.
39. Frage
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Box 1: No
To use Microsoft 365 Copilot chat, you must have a Microsoft Copilot license.
You do not necessarily need a separate "Microsoft 365 Copilot" add-on license to use the Copilot Chat feature.
Microsoft now includes a baseline version of Copilot Chat at no additional cost for users with eligible Microsoft 365 and Office 365 subscriptions.
Here is how the licensing impacts your experience:
*-> Without a Copilot Add-on License: You can still use Copilot Chat if you have a qualifying base subscription (such as Business Standard, E3, or E5). This version is web-grounded, meaning it can answer questions using public internet data and context from your currently open file, but it cannot search through your entire organization's emails, meetings, or files.
With a Microsoft 365 Copilot License: Adding this paid license transforms Copilot into a work- grounded assistant. It gains the ability to "reason" across your entire Microsoft Graph-searching your private inbox, calendar, and SharePoint documents to provide context-aware answers.
Box 2: Yes
Yes - Microsoft 365 Copilot chat provides context-aware assistance in Microsoft 365 apps.
Microsoft 365 Copilot chat is an AI-powered, context-aware assistant embedded directly into Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, OneNote) to streamline workflow, summarize content, and create documents. It operates within a secure environment, using organizational data-including emails, chats, and files-to provide tailored assistance, with or without a separate paid add-on license.
Key Features and Capabilities:
*-> Context-Aware Assistance: Interacts with the user's active files (e.g., summarizing an open Word document) and Microsoft Graph data to provide relevant, in-the-moment help.
Integrated Apps: Available in a side pane in Word, Excel, PowerPoint, Outlook, and OneNote.
Content Generation & Summarization: Helps draft content, revise tones, summarize long email threads, and analyze data.
Secure Data Usage: Built-in with enterprise-grade data protection, ensuring that user data remains secure and is not used to train public models.
Functionality: Capabilities include uploading images, expanding input boxes, and providing quick access to agents and page-creation tools.
Box 3: No
No - Microsoft 365 Copilot chat can only access information in open files and read emails.
While Copilot does work with active, open content, it is designed to ground its responses in a much broader range of organizational data. It uses the Microsoft Graph to access, search, and summarize data across your entire Microsoft 365 tenant, provided you have the necessary permissions.
Reference:
https://www.microsoft.com/en-us/microsoft-365-copilot/pricing/enterprise
https://support.microsoft.com/en-gb/topic/how-copilot-chat-works-with-and-without-a-microsoft-365-copilot-license-5810b659-fbe0-48ee-9fe6-d731fe86cdeb
https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-privacy
40. Frage
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Answer Area
* Azure Vision in Foundry Tools can extract and analyze key phrases from PDF files. Answer: No
* Azure Vision in Foundry Tools can generate images based on natural language descriptions. Answer:
No
* Azure Document Intelligence in Foundry Tools can be used to automate the processing of invoices and credit notes. Answer: Yes
* No - Azure Vision in Foundry Tools focuses on computer vision tasks such as image analysis and OCR (reading text from images and documents). While it can extract text from scanned PDFs via OCR, key phrase extraction is a natural language processing capability provided by Azure Language in Foundry Tools, not Azure Vision. Key phrase extraction analyzes text to identify main concepts, which is a different service family than vision.
* No - Azure Vision can analyze existing images (for example, generate captions/descriptions of an image), but generating new images from a text prompt is a generative model capability (for example, DALL E through Azure OpenAI/Azure AI Foundry model endpoints), not an Azure Vision feature.
Vision describes what it "sees"; it doesn't synthesize new images from natural language.
* Yes - Azure Document Intelligence in Foundry Tools is designed for intelligent document processing, including automating extraction of structured fields from financial documents. Microsoft provides prebuilt models for invoices and supports custom extraction for similar document types, which makes it suitable for automating workflows involving invoices and credit-note style documents (field extraction, validation, routing).
41. Frage
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