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| Section | Weight | Objectives |
|---|---|---|
| Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
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NEW QUESTION # 103
You are implementing an application by using Azure Event Grid to push near-real-time information to customers.
You have the following requirements:
* You must send events to thousands of customers that include hundreds of various event types.
* The events must be filtered by event type before processing.
* Authentication and authorization must be handled by using Microsoft Entra ID.
* The events must be published to a single endpoint
You need to implement Azure Event Grid
Solution: Publish events to a custom topic. Create an event subscription for each customer.
Does the solution meet the goal?
Answer: A
Explanation:
Detailed Explanation: A single custom topic is a user-defined publishing endpoint, but creating thousands of customer subscriptions on one custom topic is not the architecture Microsoft provides for managing thousands of isolated topics behind one publisher endpoint. An Event Grid domain is the service construct designed for that scale and partitioning model. The requirement for Microsoft Entra authentication can also be satisfied when publishing to Event Grid resources, but the custom-topic design still misses the domain-level multi- topic requirement.
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 | Azure Event Grid event domains | Authenticate Event Grid publishing with Microsoft Entra ID
NEW QUESTION # 104
You are provisioning and configuring a Service Bus processor for AI batch jobs.
The processor must connect to an existing queue, register handlers for message and error processing, and then begin receiving messages.
You need to provision and configure the Service Bus processor for message and error handling.
Which four 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:
Verified Answer: 1) Create the Service Bus client; 2) create the queue processor/receiver; 3) register message and error handlers; 4) start the message processor.
Detailed Explanation: The processor depends on a namespace client/connection, so the client is created first.
Next, the queue-specific processor or receiver is created from that client. Message and error callbacks must be registered before processing starts so incoming messages and failures have defined handlers. Starting the processor is therefore the final step. Dead-lettering failed messages is an optional application settlement decision and is not a prerequisite for constructing and starting the processor.
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 | Service Bus message transfers, locks, and settlement
NEW QUESTION # 105
Drag and Drop Question
You are implementing a Retrieval-Augmented Generation (RAG) system by using the native vector search capabilities of Azure Cosmos DB for NoSQL API.
You have a container named Documents that stores technical articles. Each article includes a property named embedding.
You must ensure that the system can perform efficient similarity searches between user queries and the stored articles.
You need to configure the database resources to support semantic retrieval.
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.
Answer:
Explanation:
Explanation:
Box 1: Configure a vector index.
To support semantic retrieval and perform mathematical distance calculations using the native vector search capabilities of Azure Cosmos DB for NoSQL, you must configure a vector index.
Azure Cosmos DB for NoSQL relies on a specialized indexing structure (such as DiskANN or QuantizedFlat) to organize vector data. Defining a vector index policy within the container configurations is a strict requirement for enabling high-speed similarity searches (using functions like VectorDistance) without requiring full, unindexed scans of documents.
Box 2: Store data as a numeric array
Azure Cosmos DB for NoSQL, you must store the embedding property as a numeric array (an array of floating-point numbers like float32) inside your JSON documents.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/gen-ai/agentic-retrieval
NEW QUESTION # 106
You are developing a .NET application that uses Azure Cosmos DB for NoSQL to store application data The application uses the Azure Cosmos DB for NoSQL SDK to interact with the database account. The application must perform the following tasks
* Initialize the connection by using the account endpoint and key.
* Define shared throughput.
* Perform create, read, update, and delete (CRUD) operations on items stored in a container
Answer:
Explanation:
Explanation:
Verified answer: Initialize connection: CosmosClient. Define shared throughput: Database. Perform item CRUD: Container.
Detailed Explanation: The Cosmos DB SDK follows the service resource hierarchy. CosmosClient represents the account connection and is initialized with the account endpoint and credential. Shared throughput is configured at the database level when multiple containers share database throughput. Item create, read, update, and delete operations are performed through a container object because containers hold items and define partitioning/indexing behavior. An indexing policy is configuration attached to a container, not the SDK object used for CRUD.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Cosmos DB databases, containers, and items
NEW QUESTION # 107
You deploy an AI application across multiple Azure regions.
The application must be able to view writes across all regions within a predictable time window.
You need to determine the appropriate consistency level.
What are two consistency levels you can use to achieve the goal? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,C
NEW QUESTION # 108
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