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| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 15-20% | - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models |
| Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Test, deploy, and optimize agents |
| Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Select suitable AI models - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions |
| Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots |
| Implement computer vision solutions | 10-15% | - Extract text and handwriting from images - Analyze images and detect objects/features - Build and deploy custom vision models - Process and index video content - Integrate vision capabilities into applications |
| Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Ingest and process structured/unstructured data - Implement intelligent search and retrieval |
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NEW QUESTION # 315
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 316
You are developing a text processing solution.
You have the function shown below.
Answer:
Explanation:
NEW QUESTION # 317
You plan to build an agent that will combine and process multiple files uploaded by users. You are evaluating whether to use the Microsoft Foundry Agent Service to develop the agent. What is the maximum size of each file that can be uploaded to the service?
Answer: A
NEW QUESTION # 318
You are building an app that will analyze documents by using the Azure Al Language service.
You need to identify industry-specific technical terms in the documents. The solution must minimize development effort.
What should you use?
Answer: A
Explanation:
You need to identify industry-specific technical terms in documents. That is a classic use case for Custom Named Entity Recognition (custom NER) , which lets you build a model to extract domain-specific entities (for example, chemical names, part numbers, contract IDs) from unstructured text. Among the options, only custom NER is designed to recognize entities unique to your domain.
Why not Key Phrase Extraction? It returns the main concepts/talking points of text, not typed, domain- specific entities.
Why not CLU? Conversational Language Understanding is for intent and entity extraction from user utterances in conversations , not for mining technical terms from documents. Microsoft Learn Why not Language Detection? It detects the language of the text only.
Custom NER fits: Purpose-built to extract domain-specific entities with minimal code; you label a small dataset and train in Language Studio.
Microsoft References:
Custom Named Entity Recognition overview - purpose is extracting domain-specific entities . Microsoft Learn Transparency note for custom NER - emphasizes domain-specific extraction. Microsoft Learn Key Phrase Extraction overview - identifies main concepts , not domain entities. Microsoft Learn CLU overview - intent/entity for conversational scenarios. Microsoft Learn
NEW QUESTION # 319
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation
NEW QUESTION # 320
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