Microsoft AI-200 VCE Dumps & Testking IT echter Test von AI-200

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Microsoft AI-200 Exam Syllabus Topics:

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

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Microsoft Developing AI Cloud Solutions on Azure AI-200 Prüfungsfragen mit Lösungen (Q17-Q22):

17. Frage
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.

Antwort:

Begründung:

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


18. Frage
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.

Antwort:

Begründung:

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


19. Frage
You need to configure the Redis integration for the Recommendation API.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Antwort:

Begründung:

Explanation:
* Comply with the defined expiration policy for recommendation results: Configure Time to Live on each cache key.
* Support the data integrity and freshness requirement for catalog updates: Publish invalidation events to a Redis channel.
* Meet the search latency target for recurring product requests: Implement cache-aside pattern with lazy loading.
The 10-minute expiration requirement should be implemented by configuring a Time to Live (TTL) on each Redis cache key. Redis automatically removes a key after its assigned expiration interval, ensuring recommendation results cannot remain cached indefinitely. Microsoft documents expiration as a standard mechanism for preventing cached data from becoming stale.
For catalog changes, Fabrikam explicitly requires a reactive invalidation mechanism . Publishing invalidation events to a Redis Pub/Sub channel allows application components to notify subscribers immediately when product metadata or pricing changes. Redis Pub/Sub broadcasts messages to channel subscribers, which can then invalidate affected cache entries instead of waiting for TTL expiration.
For repeated recommendation queries, implement the cache-aside pattern with lazy loading . The application first checks Redis; on a cache hit, results are returned from the low-latency in-memory cache. On a miss, the application retrieves data from PostgreSQL, places the result in Redis, and returns it. Microsoft identifies cache-aside as an appropriate pattern for frequently read data and explicitly notes that Azure Managed Redis provides low-latency, high-throughput access.
Redis RDB persistence is unnecessary for these requirements because the cache is an optimization layer rather than the authoritative data store.
Study Guide references: Azure Managed Redis # cache-aside pattern; TTL/expiration; Pub/Sub; cache invalidation and data freshness.


20. Frage
You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?

Antwort: C

Begründung:
To meet all requirements, you should configure Application settings with Key Vault references.
Source Control Protection: The Function App source code and configuration files only store a reference URI (e.g., @Microsoft.KeyVault(SecretUri=...)) rather than the actual connection string, keeping secrets entirely out of source control.
Seamless Secret Rotation: Azure Key Vault handles secret rotation natively. When a database password changes, you simply update the secret in Key Vault.
Zero Downtime: By using versionless Key Vault references (omitting the specific version GUID from the URI), the Azure Function App will automatically fetch the latest secret version within 24 hours without requiring a code redeployment or app restart.
References:
https://oneuptime.com/blog/post/2026-02-16-how-to-configure-managed-identity-for-azure-app-service-to-access-key-vault-secrets-without-credentials/view


21. Frage
Hotspot Question
You deploy a Linux container image to App Service.
The container requires the following environment variables at runtime:
- A non-sensitive configuration value named MODEL_VERSION
- A database password that must remain secure
You need to configure App Service to provide these environment variables at runtime.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
Box 1: App setting with plain text value
To provide a non-sensitive environment variable named MODEL_VERSION to a Linux custom container deployed to Azure App Service, you should configure it as an Application Setting (App Setting). In Azure App Service, any custom configuration defined within the Application Settings is automatically injected into Linux containers as an environment variable at runtime.
Box 2: Key Vault reference syntax
You should configure the database password as an Azure Key Vault reference inside App Service Application Settings. This prevents the secret from being stored in plaintext in the app configuration and injects it securely into the container as an environment variable at runtime.
Reference:
https://learn.microsoft.com/en-us/azure/app-service/tutorial-custom-container?tabs=azure-cli&pivots=container-linux


22. Frage
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