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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Develop containerized AI solutions on Azure25%- Implement container hosting environments
  • 1. Azure Container Registry: store, version, manage images
  • 2. Configure scaling, networking, and security for containers
  • 3. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS)
- Monitor and troubleshoot containerized workloads
  • 1. Manage configurations and secrets for containers
  • 2. Log analysis, health checks, and performance monitoring
Topic 2: Integrate backend services and build event-driven architectures25%- Implement messaging and event systems
  • 1. Azure Service Bus for reliable messaging
  • 2. Connect services and expose APIs securely
  • 3. Azure Event Grid for event-driven processing
- Build serverless APIs and workflows
  • 1. Azure Functions for AI integration and processing
  • 2. Orchestrate AI pipelines and workflows
Topic 3: Develop AI solutions using Azure data services30%- Design and optimize data access and retrieval
  • 1. Indexing strategies, query optimization, and consistency models
  • 2. Implement hybrid search and retrieval patterns
- Implement vector-enabled databases
  • 1. Azure Cosmos DB for NoSQL with vector search
  • 2. Azure Database for PostgreSQL with pgvector extension
  • 3. Azure Managed Redis for caching, streaming, and vector storage
Topic 4: Secure, monitor, and optimize AI solutions20%- Implement observability and reliability
  • 1. OpenTelemetry and Azure Monitor integration
  • 2. Optimize performance, cost, and scalability
  • 3. Logging, metrics, and distributed tracing
- Manage security and configuration
  • 1. App Configuration for dynamic settings
  • 2. Managed identities and access control
  • 3. Azure Key Vault for secrets, keys, and certificates

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q124-Q129):

NEW QUESTION # 124
Drag and Drop Question
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:
Box 1: Create the Azure Monitor component that sends trace data
To register a global TracerProvider in OpenTelemetry, you must call the SetTracerProvider method on the global tracer provider object, passing in your fully configured TracerProvider instance.
Box 2: Configure a span processor to send spans to the exporter
To export OpenTelemetry traces to Azure Monitor using the Python SDK, you must configure a span processor (such as BatchExportSpanProcessor), pass your initialized Azure Monitor trace exporter to it, and register that span processor with your global tracer provider.
Box 3: Initialize the application's TracerProvider for tracing
Box 4: Call tracer.start_as_current_span()
Acquire your tracer and create spans. Example code (continued from box 2 above):
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("hello-aca-span")
Reference:
https://learn.microsoft.com/en-us/azure/durable-task/sdks/durable-task-scheduler-opentelemetry-tracing
https://learn.microsoft.com/en-us/python/api/overview/azure/monitor-opentelemetry-exporter-readme


NEW QUESTION # 125
An Azure Storage Blob upload must trigger backend processing.
The solution must:
- Avoid polling.
- Minimize latency.
- Trigger automatically when the upload occurs.
You need to ensure that processing starts as soon as a file is uploaded.
Which trigger should you implement?

Answer: C

Explanation:
Azure Event Grid is the best trigger type to use because it pushes real-time event notifications with minimal latency and completely avoids polling.
Push-based model: Sends events instantly as blobs are created.
Lowest latency: Delivers notifications in milliseconds.
No polling overhead: Saves resources compared to timer or queue polling.
How It Works
A user uploads a file to Azure Blob Storage.Blob Storage fires an Microsoft.Storage.BlobCreated event.
Event Grid pushes this event directly to your backend endpoint (such as an Azure Function or Webhook).Processing starts right away.
Reference:
https://damle-amit075.medium.com/azure-databricks-auto-loader-plugging-the-gap-for-batch-loads-72585b0f158e


NEW QUESTION # 126
You plan to deploy an Azure Container app.
You need to configure the container app to support session affinity.
Which ingress type and revision mode should you assign to the container app?

Answer: C

Explanation:
HTTP ingress type and single revision mode must be assigned. Session affinity (sticky sessions) requires an HTTP-based proxy layer to track and route client requests to the same replica, which is incompatible with raw TCP ingress. Single revision mode ensures standard traffic flow without multi-revision splitting complexity.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/ingress-environment-configuration


NEW QUESTION # 127
Drag and Drop Question
You are developing several microservices to run on Azure Container Apps.
The microservices must allow HTTPS access by using a custom domain.
You need to configure the custom domain in Azure Container Apps.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
Step 1: Enable ingress
You must first expose your container app to external traffic to generate the default fully qualified domain name (FQDN) needed for DNS mapping.
Step 2: Add DNS records to the domain provider
Log into your domain registrar to create the required TXT (for verification) and CNAME/A records pointing to your container app.
Step 3: Validate the custom domain name
Azure checks your DNS records to confirm that you actually own the domain before allowing it to be linked.
Step 4: Add the custom domain name
Once validation passes, you officially add and register the custom domain name within the Azure Container App configuration.
Step 5: Bind the certificate
Finally, bind an SSL/TLS certificate to the custom domain to secure the connection and enable HTTPS access.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/ingress-overview


NEW QUESTION # 128
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: B


NEW QUESTION # 129
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