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| Section | Objectives |
|---|---|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Connect to and consume Azure services | - Integrate Azure services
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
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NEW QUESTION # 102
Hotspot Question
You are developing an event-driven system that reacts to new or updated documents in Azure Cosmos DB for NoSQL.
The application must process new or updated documents as they appear in the container by using a change feed processor. The application must also maintain processor state between runs.
You need to configure the components required for stateful change feed processing.
Which components should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Monitored container.
To read new or updated documents from the source, you need to configure the monitored container. The change feed processor listens to this container for any changes and sequentially retrieves the sorted list of modified documents.
Box 2: Lease Container
Lease Container is a separate container that acts as state storage. It maintains processing checkpoints across multiple worker instances, which allows your system to resume operations from where it left off.
Box 3: Latest version mode
To process new or updated documents, you need to use the Latest version mode of the change feed.
Latest version mode is the default change feed mode. It provides only the most recent version of each changed item (inserts and updates) in the exact order they were modified. If an item is updated multiple times in quick succession, the processor will only receive the final state after the latest update.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/change-feed-processor
NEW QUESTION # 103
A Python API running in ACA must send distributed traces to Azure Monitor.
The API creates spans. However, no traces appear in Azure Monitor.
You need to configure the OpenTelemetry SDK pipeline to export traces to Azure Monitor.
What should you do? To answer, move the appropriate actions to the correct requirements. You may use each action once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer: Register a global trace provider # initialize the application TraceProvider. Export traces to Azure Monitor # create/configure AzureMonitorTraceExporter. Connect exporter to provider # add a span processor. Generate spans # use tracer.start_as_current_span(...).
Detailed Explanation: OpenTelemetry tracing is a pipeline: the application obtains a tracer from a configured provider, creates spans, passes ended spans through a span processor, and exports them using the Azure Monitor exporter. Creating spans alone is insufficient; without the provider/processor/exporter chain, no telemetry reaches Azure Monitor. Log sampling and legacy Application Insights TrackEvent calls are unrelated to the required OpenTelemetry trace-export path.
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 | Enable Azure Monitor OpenTelemetry
NEW QUESTION # 104
Drag and Drop Question
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:
Step 1: Register a provider
Because this is a newly provisioned Azure subscription, you must register the Microsoft.EventGrid resource provider before you can deploy any Event Grid components.
Step 2: Create a custom topic
Since you are routing AI inference events originating from your application, you need to create a custom topic to act as the endpoint where these events are sent.
Step 3: Create an event subscription
You must create an event subscription to define the routing rules. This is where you configure filtering to ensure only high-confidence events are directed to your downstream processor.
Reference:
https://www.c-sharpcorner.com/article/building-event-driven-ai-workflows-with-azure-event-grid-and-net/
NEW QUESTION # 105
You need to deploy Azure function resources and apps by using an automated, version-controlled CI/CD pipeline that supports declarative infrastructure deployment. What should you use?
Answer: D
NEW QUESTION # 106
You have an Azure subscription named Sub1 that contains a resource group named RG1 and a Service Bus queue named SB1.
You plan to implement an Azure Event Grid push even: subscription that will deliver an event lo SB1 whenever a resource is created, modified, or deleted in RG1. You must minimize the development and configuration efforts.
You need to create an Event Grid topic for your planned implementation
Which type of event topic should you create?
Answer: C
NEW QUESTION # 107
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