Microsoft AI-200 Zertifizierung, AI-200 Deutsche Prüfungsfragen

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Microsoft AI-200 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Develop AI solutions using Azure data services	30%	- 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 Azure	25%	- Monitor and troubleshoot containerized workloads 1. Log analysis, health checks, and performance monitoring 2. Manage configurations and secrets for containers - Implement container hosting environments 1. Azure Container Registry: store, version, manage images 2. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS) 3. Configure scaling, networking, and security for containers
Topic 3: Secure, monitor, and optimize AI solutions	20%	- Implement observability and reliability 1. OpenTelemetry and Azure Monitor integration 2. Logging, metrics, and distributed tracing 3. Optimize performance, cost, and scalability - Manage security and configuration 1. Azure Key Vault for secrets, keys, and certificates 2. App Configuration for dynamic settings 3. Managed identities and access control
Topic 4: Integrate backend services and build event-driven architectures	25%	- 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

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Microsoft AI-200 Deutsche Prüfungsfragen - AI-200 Prüfungsmaterialien

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

17. Frage
You are designing a message based order processing system by using Azure Service Bus.
Each order message must be processed in the same sequence it was received. In addition, a separate audit service must receive copies of all order messages far compliance tracking You need to configure a Service Bus namespace and its entities to meet the ordering and audit requirements Which service bus options should you use? To answer, select the appropriate options m the answer area NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:

18. Frage
You develop an AI application that stores telemetry documents in Azure Cosmos DB for NoSQL.
Each document contains 30 properties. Queries filter only on deviceId and timestamp.
Write operations consume more RUs than expected.
You need to reduce RU consumption for write operations while maintaining query performance.
What should you do?

A. Enable strong consistency for all requests.
B. Exclude unused properties from indexing.
C. Configure selective indexing on queried properties.
D. Migrate to a different partition key.

Antwort: B

Begründung:
Modify the indexing policy to include only deviceId and timestamp paths, and exclude all other paths. By default, Azure Cosmos DB indexes every property in a document, which drastically inflates the Request Units (RUs) consumed during write operations.
Reference:
https://www.datacamp.com/tutorial/azure-cosmos-db

19. Frage
You are implementing the expiration requirement for AI-generated summaries in the Redis cache.
You need to purge the AI summaries five minutes after creation, regardless of how often they are accessed.
What should you do?

A. Set the maxmemory-policy to allkeys-lru.
B. Configure absolute expiration on each cache key.
C. Use the PERSIST command after each successful read operation.
D. Implement sliding expiration on each cache key.

Antwort: B

Begründung:
TTL (Time-To-Live) with a fixed duration of five minutes is the exact Redis feature you need to purge AI-generated summaries regardless of access frequency.
Redis TTL and Expiration Features
Core Expiration Feature
EXPIRE command: Sets a timeout in seconds on a key. Use EXPIRE key 300 to remove the summary after 300 seconds (five minutes).
PX command: Sets a timeout in milliseconds. Use PX key 300000 for precise millisecond control.
EXPIREAT / PEXPIREAT: Sets an absolute Unix timestamp for expiration instead of a relative duration.
Reference:
https://dev.to/truongpx396/30-common-redis-interview-questions-1ai

20. Frage
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.

Antwort:

Begründung:

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

21. Frage
Hotspot Question
You are developing a solution that uses several Azure Service Bus queues. You create an Azure Event Grid subscription for the Azure Service Bus namespace. You use Azure Functions as subscribers to process the messages.
You need to emit events to Azure Event Grid from the queues. You must use the principle of least privilege and minimize costs.
Which Azure Service Bus values 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: Premium
Azure Service Bus event integration with Event Grid is a specialized feature supported only on the Premium messaging tier. Basic and Standard tiers do not support emitting namespace events to Event Grid.
Box 2: Contributor
Setting up and managing the integration requires management-plane permissions on the namespace to establish the Event Grid subscription, making Contributor the correct and required IAM role specification according to Microsoft's integration guidelines.
Reference:
https://learn.microsoft.com/en-us/azure/service-bus-messaging/service-bus-to-event-grid-integration-concept

22. Frage
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