Module Assessment

1.

Your AI platform completes a document analysis, and three independent services need to react to the result: a notification service alerts the user, an audit service logs the result for compliance, and a dashboard service updates metrics. Which Service Bus entity type supports this requirement?

A topic with three subscriptions

A queue with three competing consumers

Three separate queues with the sender publishing to each one

2.

You're building an AI inference pipeline where losing a customer's request is unacceptable. If a worker crashes while processing a message, the message must become available to another worker. Which receive mode should you configure?

Peek-lock mode

Receive-and-delete mode

Deferred receive mode

3.

A message in your inference queue consistently causes a processing error every time a worker attempts it. After 10 delivery attempts, what does Service Bus do with the message?

Moves the message to the dead-letter queue with the reason MaxDeliveryCountExceeded

Deletes the message permanently from the queue

Returns the message to the back of the queue for continued retry attempts

4.

Your AI pipeline needs to process 500-MB document files, but Azure Service Bus Premium tier supports messages up to 100 MB via AMQP. Which pattern addresses this constraint?

The claim-check pattern, uploading files to Azure Blob Storage and sending only the blob URI in the message

Splitting the document into five 100-MB messages and reassembling them at the consumer

Encoding the document as base64 and sending it as the message body on the Premium tier

5.

You set the correlation_id property on every Service Bus message in your AI pipeline. What is the primary purpose of this property?

Tracking a request end-to-end across all pipeline stages, from the API through processing to result delivery

Enabling duplicate detection so Service Bus discards repeated submissions of the same request

Routing messages to specific subscriptions based on filter rules

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