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| Section | Weight | Objectives |
|---|---|---|
| Implement knowledge mining and information extraction solutions | 15-20% | - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Implement intelligent search and retrieval |
| Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers |
| Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Implement translation and summarization - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection |
| Implement computer vision solutions | 10-15% | - Extract text and handwriting from images - Build and deploy custom vision models - Integrate vision capabilities into applications - Process and index video content - Analyze images and detect objects/features |
| Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Understand agent use cases and types - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service |
| Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Plan solutions aligned with responsible AI principles - Select suitable AI models - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions |
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NEW QUESTION # 330
You have an app named App1 that uses a custom Azure Al Document Intelligence model to recognize contract documents. You need to ensure that the model supports an additional contract format. The solution must minimize development effort. What should you do?
Answer: A
NEW QUESTION # 331
You have an Azure subscription that has the following configurations:
* Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
* Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 332
You have an Azure subscription that contains an Azure Al Document Intelligence resource named Aldoc1 in the SO tier.
You have the lies shown in the following table.
You need to train a custom extraction model by using AIdoc1.
Which files can you upload to Document Intelligence Studio?
Answer: E
Explanation:
You have an Azure AI Document Intelligence resource named AIDoc1 in the S0 tier .
You need to identify which files can be uploaded to Document Intelligence Studio for training a custom extraction model.
Supported formats: PDF, TIFF, JPG, PNG, BMP.
Maximum file size: 500 MB per document.
Password-protected documents: Not supported.
S0 tier limits: Same as above (50 pages per document limit also applies).
Now checking the given files:
File1 (JPG, 400 MB, No password) # Supported (under 500 MB, allowed format).
File2 (PDF, 250 MB, No password) # Supported.
File3 (PNG, 180 MB, Password-protected) # Not supported (password locked).
File4 (XLSX, 900 MB) # Not supported (format not supported, exceeds 500 MB).
File5 (PDF, 160 MB, Password-protected) # Not supported (password locked).
The answer: C. File1, File2, and File4 only # Wait, check again: XLSX is not supported, so File4 is invalid. Only File1 and File2 are valid.
Correct Final Answer: A. File1, and File2 only
NEW QUESTION # 333
You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced comprehensive and learning differences, such as dyslexia.
Which Azure service should you include in the solution?
Answer: D
Explanation:
* The requirement is to optimize the reading experience for users with dyslexia and learning differences.
* Azure AI Immersive Reader is specifically designed to make text more accessible, improving comprehension by enabling features like text-to-speech, line focus, and translation.
* Translator (A) is for translating text, not accessibility.
* Document Intelligence (B) is for extracting information from documents.
* Azure AI Language (D) is for NLP tasks, not improving reading accessibility.
Microsoft References:
* Azure AI Immersive Reader overview
NEW QUESTION # 334
You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file. You need to configure the app to extract text from the images. The solution must minimize development effort. What should you include in the solution?
Answer: D
Explanation:
* The requirement is to extract text from scanned images (OCR at scale).
* Computer Vision Image Analysis can describe and tag images but is not optimized for bulk OCR.
* Form Recognizer is intended for structured document extraction (invoices, receipts, forms), not raw magazine scans.
* Azure Cognitive Service for Language works only with text, not images.
* Read API in Computer Vision is specifically designed for extracting text from scanned images, supports multiple languages, and is ideal for this scenario.
The answer: B
NEW QUESTION # 335
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