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| Section | Weight | Objectives |
|---|---|---|
| Implement an agentic solution | 5-10% | - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents |
| Plan and manage an Azure AI solution | 20-25% | - Select suitable AI models - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions - Select appropriate Microsoft Foundry Services |
| Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers |
| Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots - Customize and deploy NLP models |
| Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Ingest and process structured/unstructured data |
| Implement computer vision solutions | 10-15% | - Process and index video content - Analyze images and detect objects/features - Integrate vision capabilities into applications - Extract text and handwriting from images - Build and deploy custom vision models |
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NEW QUESTION # 192
You have an Azure subscription that contains an Azure Al Content Understanding resource named cu1.
You need to create a custom analyzer that will analyze documents.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Explanation:
curl -i -X: The POST method is appropriate because you are creating a new custom analyzer, which involves sending a request to create a resource. POST is used for creating new resources in REST APIs.
https:// < cu1 > .services.ai.azure.com/: The base URL should be updated to include the contentunderstanding endpoint, as this is the specific service within the Azure AI Content Understanding resource (cu1) that handles analyzer-related operations. Replace < cu1 > with the actual resource name or endpoint provided by your Azure subscription.
/analyzers/myInvoice7api-version-2024-12-01-preview: This part of the URL is correct as it specifies the endpoint for creating a custom analyzer (/analyzers) with the name myInvoice7 and the API version 2024-12-
01-preview. No changes are needed here, assuming the analyzer name and version are intended as shown.
NEW QUESTION # 193
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
There are two main types of data workloads: Batch and Streaming.
Batch Workload
Processes data in large groups (batches) at scheduled intervals.
Common when real-time is not required.
Examples: daily sales reports, hourly data refreshes, periodic ETL (Extract, Transform, Load).
Streaming Workload
Processes data in real time or near real time as it arrives.
Used for scenarios where immediate insights or actions are required.
Examples: fraud detection, IoT sensor monitoring, live purchase tracking.
Applying to the scenarios:
"Data for a product catalog will be loaded every 12 hours to a data warehouse." This is scheduled, not continuous. # Batch
"Thousands of data sets per second for online purchases will be loaded into a data warehouse in real time." This requires real-time processing. # Streaming
"Updates to inventory data will be loaded to a data warehouse every 1 million transactions." Data is grouped and loaded after reaching a threshold (1 million). # Batch Correct Matches:
Product catalog (12 hours) # Batch
Online purchases (real time) # Streaming
Inventory data (1 million transactions) # Batch
Microsoft References
Batch processing vs. Stream processing in Azure
Azure Stream Analytics overview
Data processing approaches: Batch vs Real-time
NEW QUESTION # 194
You have an Azure subscription that contains an Azure App Service app named App1.
You provision a multi-service Azure AI Services resource named CSAccount1.
You need to configure App1 to access CSAccount1. The solution must minimize administrative effort.
What should you use to configure App1?
Answer: D
NEW QUESTION # 195
You have a Custom Vision resource named acvdev in a development environment.
You have a Custom Vision resource named acvprod in a production environment.
In acvdev, you build an object detection model named obj1 in a project named proj1.
You need to move obj1 to acvprod.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Text Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-tutorial-pattern#what-did-this-tutorial-accomp
NEW QUESTION # 196
You have an Azure subscription that contains an Anomaly Detector resource. You deploy a Docker host server named Server 1 to the on-premises network. You need to host an instance of the Anomaly Detector service on Server 1. Which parameter should you include in the docker run command?
Answer: B
Explanation:
When deploying Cognitive Services containers (such as Anomaly Detector), the container requires a billing parameter in the docker run command.
This parameter points to the Azure resource key and endpoint for billing.
Fluentd is for logging.
Http Proxy is optional for outbound connectivity.
Mounts are used for local storage but are not mandatory for billing.
NEW QUESTION # 197
......
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