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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service |
| Topic 2: Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Orchestrate multiple models and containers - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models |
| Topic 3: Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Create and configure Azure AI resources - Select suitable AI models - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles |
| Topic 4: Implement natural language processing solutions | 15-20% | - Build conversational AI and chatbots - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models - Implement translation and summarization |
| Topic 5: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Ingest and process structured/unstructured data |
| Topic 6: Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Process and index video content - Analyze images and detect objects/features - Build and deploy custom vision models - Extract text and handwriting from images |
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질문 # 225
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure AI Video Indexer.
Which files can you upload to the Video Indexer website?
정답：B
설명：
File1 (WMV, 34 mins, 400 MB): Supported because it uses a supported format (WMV), is under the 2 GB size limit, and has a duration of less than 6 hours.
File2 (AVI, 90 mins, 1,200 MB): Supported because it uses a supported format (AVI), is under the
2 GB size limit, and has a duration of less than 6 hours.
File3 (MOV, 300 mins, 980 MB): Supported because it uses a supported format (MOV), is under the 2 GB size limit, and has a duration of 5 hours (less than the 6-hour limit).
File4 (MP4, 80 mins, 1,800 MB): Supported because it uses a supported format (MP4), is under the 2 GB size limit, and has a duration of less than 6 hours.
https://learn.microsoft.com/en-us/azure/azure-video-indexer/avi-support-matrix
질문 # 226
You need to build a solution that will use optical character recognition (OCR) to scan sensitive documents by using the Computer Vision API. The solution must NOT be deployed to the public cloud.
What should you do?
정답：D
설명：
One option to manage your Computer Vision containers on-premises is to use Kubernetes and Helm.
Three primary parameters for all Cognitive Services containers are required. The Microsoft Software License Terms must be present with a value of accept. An Endpoint URI and API key are also needed.
Incorrect:
Not D: This Computer Vision endpoint would be available for the public, unless it is secured.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/deploy-computer- vision-on-premises
질문 # 227
What should you use to automatically delete blobs from Azure Blob Storage?
정답：D
설명：
To automatically delete blobs in Azure Blob Storage, you can configure a lifecycle management policy.
This policy allows you to:
* Transition blobs between hot, cool, and archive tiers.
* Delete blobs automatically after a specified number of days.
Other options:
* Change feed # Tracks all changes to blobs, but does not delete them.
* Soft delete # Protects blobs from accidental deletion by allowing recovery, not automated deletion.
* Archive storage # Storage tier for rarely accessed data, not a deletion mechanism.
The answer: a lifecycle management policy
Reference: Azure Blob Storage lifecycle management
질문 # 228
Hotspot Question
You are building an app that will answer customer calls about the status of an order. The app will query a database for the order details and provide the customers with a spoken response.
You need to identify which Azure AI service APIs to use. The solution must minimize development effort.
Which object should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
https://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-started-speech-to- text?tabs=windows%2Cterminal&pivots=programming-language-csharp
https://learn.microsoft.com/en-us/azure/ai-services/speech-service/how-to-speech- synthesis?tabs=browserjs%2Cterminal&pivots=programming-language-csharp
질문 # 229
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 230
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