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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Topic 2: Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Topic 3: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Topic 4: Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
>> Microsoft AI-200 Accurate Answers <<
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NEW QUESTION # 49
You are implementing semantic retrieval for a chatbot.
Embeddings are already stored in Redis. However, vector similarity queries do not return matches.
You need to resolve the vector similarity search issue.
What should you do?
Answer: D
NEW QUESTION # 50
An ACA app processes messages from an Azure Storage queue.
The app must scale automatically based on messages in a specific Azure Storage queue by using a Kubernetes Event-driven Autoscaler (KEDA) custom scale rule.
You need to configure the required scale rule values.
Which two values should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
[A]
QeueName: The exact name of the specific Azure Storage queue your app is polling is required.
[C]
Why Trigger Type is Required
When configuring a custom scale rule in Azure Container Apps (ACA), the platform utilizes KEDA underneath. Because a custom rule can connect to many different event sources (such as Kafka, Redis, or Azure Storage), you must explicitly define the Trigger type (e.g., azure-queue) so KEDA knows which specific scaler to initiate.
Reference:
https://techcommunity.microsoft.com/blog/fasttrackforazureblog/container-apps-a-practical-scaling-with-azure-queue-scale-rule/3722075
NEW QUESTION # 51
Drag and Drop Question
You plan to deploy a web application to AKS.
The solution must:
- Scale out the application by adding more pods during peak CPU usage.
- Expose the application internally within the cluster only.
You need to configure a Kubernetes resource for each requirement.
Which resources should you configure? To answer, move the appropriate resources to the correct requirements. You may use each resource 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:
Box 1: HorizontalPodAutoscaler
Horizontal Pod Autoscaler (HPA) is the AKS feature to use. It automatically scales the number of pods in a deployment based on observed CPU utilization or other metrics.
Box 2: ClusterIP service
Use a ClusterIP service or internal LoadBalancer with annotations to expose your web application internally within an Azure Kubernetes Service (AKS) cluster only.
Reference:
https://learn.microsoft.com/en-us/azure/aks/optimize-aks-costs
https://learn.microsoft.com/en-us/azure/aks/concepts-network-services
NEW QUESTION # 52
Hotspot Question
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
- Enable and maintain a single URL for the updated microservice to
provide to test users.
- Update the microservice that corresponds to the current microservice
version.
You need to configure Azure Container Apps.
Which features 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: Revision label
You should use the revision labels feature in Azure Container Apps. This feature allows you to assign a dedicated, permanent URL to a specific version (or revision) of your microservice.
Box 2: Revision mode
The application's Revision mode must be configured to Multiple. This allows the existing (current) microservice version to remain active and serve production traffic concurrently while you spin up the updated revision for the test users to access safely.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/microservices
NEW QUESTION # 53
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 # 54
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