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| Section | Objectives |
|---|---|
| Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Plan security and compliance requirements - Select appropriate Azure AI services |
| Implement Azure AI solutions | - Implement computer vision solutions - Implement generative AI solutions using Azure OpenAI - Implement knowledge mining with Azure AI Search - Implement natural language processing solutions |
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
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NEW QUESTION # 73
You develop an ASP.NET Core app that uses Azure App Configuration. You also create an App Configuration containing 100 settings. The app must meet the following requirements:
* Ensure the consistency of all configuration data when changes to individual settings occur.
* Handle configuration data changes dynamically without causing the application to restart.
* Reduce the overall number of requests made to App Configuration APIs
You must implement dynamic configuration updates in the app.
What are two ways to achieve this goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,F
Explanation:
Detailed Explanation: A sentinel key allows the application to check one value and refresh all related configuration only when that sentinel changes, preserving a consistent set of settings instead of refreshing 100 keys independently. Increasing the refresh/cache interval reduces how frequently the application contacts App Configuration APIs. Together these measures support dynamic refresh without application restart while controlling request volume. Registering every key separately or decreasing the cache interval would increase API traffic, and Key Vault/environment variables do not solve coordinated App Configuration refresh.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Dynamic configuration in ASP.NET Core
NEW QUESTION # 74
Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?
Answer: D
NEW QUESTION # 75
You have a newly provisioned Azure subscription. You are designing a custom Event Grid workflow for AI inference events.
You need to implement the Event Grid components to support routing of high-confidence events to a downstream processor.
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:
Verified Answer: 1) Register the Event Grid resource provider; 2) create a custom topic; 3) create an event subscription.
Detailed Explanation: A newly provisioned subscription must have the Event Grid resource provider available before Event Grid resources can be created. The publisher needs a custom topic as the event-ingress resource, and routing to a downstream processor is then defined by an event subscription on that topic. The event subscription can include filters such as event type or data fields so that only high-confidence events reach the processor. Creating a partner topic or domain is unnecessary for the stated custom workflow.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Create an Event Grid custom topic or domain
NEW QUESTION # 76
Your solution must answer questions about numeric data in large Excel-based reports (e.g.,
"What was Q3 revenue for the West region?"). Which approach is most appropriate?
Answer: A
Explanation:
Precise numeric/tabular lookups are handled poorly by vector similarity search or free-text embedding of numbers. Structuring the data (e.g., in a database) and letting a function-calling agent issue precise queries yields accurate, verifiable answers.
NEW QUESTION # 77
You develop a message-processing service deployed to Azure Container Apps. The service reads messages from an Azure Service Bus queue.
The solution must minimize costs by ensuring NO compute resources are consumed when the queue is empty.
You need to configure scaling for the service.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
Detailed Explanation: Azure Container Apps uses KEDA-based scale rules for event-driven workloads. A Service Bus scaler can monitor queue depth and create replicas only when messages are pending. To meet the explicit cost requirement, the scale configuration must permit a minimum replica count of zero so all active replicas can terminate when the queue is empty. Increasing the maximum replica count changes peak capacity, and HTTP ingress concurrency is not the correct scaling signal for a background Service Bus consumer.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Set scaling rules in Azure Container Apps
NEW QUESTION # 78
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