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| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
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質問 # 88
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 system topic. Create an event subscription for each customer.
Does the solution meet the goal?
正解：A
解説：
Detailed Explanation: System topics represent events emitted by Azure services and are not the correct resource for an application publishing its own hundreds of event types to thousands of customers through one custom endpoint. Event Grid domains are intended for exactly this type of application-level multi-tenant topic organization and expose one publishing endpoint for many topics. Therefore a system topic with a subscription per customer does not satisfy the stated publishing model, even though Event Grid supports filtering and secure delivery in other contexts.
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 Verification completed using official Microsoft Learn sources only. Original exhibits have been retained unchanged.
質問 # 89
An Azure Service Bus queue processes AI enrichment jobs.
Some messages fail repeatedly because the payload is malformed.
You need to ensure that repeatedly failing messages do NOT block valid messages and can be inspected separately.
Which message action should you perform?
正解：C
解説：
Dead-lettering is the message action you must use to isolate repeatedly failing messages from valid ones in Azure Service Bus.
Isolation: It moves corrupted or malformed messages into a separate sub-queue.
Non-blocking: Valid messages continue processing without getting stuck behind bad data.
Inspection: It allows developers to analyze failed payloads and system errors later.
Reference:
https://azureintegrations.com/2020/03/01/azure-servce-bus-best-practises/
質問 # 90
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 partner topic. Create an event subscription for each customer.
Does the solution meet the goal?
正解：A
解説：
Detailed Explanation: The proposed partner-topic design does not match the stated need for one publisher endpoint that can fan events into thousands of logically distinct customer topics. Event Grid domains are specifically designed to expose a single publishing endpoint while containing large numbers of topics, with subscriptions and filtering applied at the topic level. Partner topics are intended for partner-published SaaS events and do not substitute for the domain architecture required by this high-scale custom publishing scenario.
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
質問 # 91
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?
正解：A
質問 # 92
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
正解：
解説：
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
質問 # 93
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