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AZ-204 Develop Azure compute solutions Practice Question

You are developing a web application that allows users to upload images. The application is deployed on Azure App Service. After upload, the images must be processed to generate thumbnails and to extract metadata. The processing should happen asynchronously and must be resilient to failures. You need to design the solution using serverless components. The solution must minimize latency for the user during upload, and the processing must be retried automatically if it fails. You also need to ensure that the processing is idempotent, so that duplicate messages do not cause duplicate thumbnails. Which approach should you use?

Option A: Use Azure Functions with a Blob Storage trigger to process each image as it is uploaded. The function generates thumbnails and stores metadata in Cosmos DB. Use the `leaseBlob` property to prevent duplicate processing. Option B: Use Azure Functions with an Event Grid trigger to process images. The function generates thumbnails and stores metadata in Cosmos DB. Use Event Grid's built-in retry policy and idempotent logic in the function. Option C: Use Azure Logic Apps with a Blob Storage connector to process images. The logic app generates thumbnails and stores metadata in Cosmos DB. Configure retry policy on the connector. Option D: Use Azure Functions with a Service Bus queue trigger. The web app sends a message to the queue after upload. The function processes the message, generates thumbnails, and stores metadata. Use message deduplication to ensure idempotency.

⚠ Common exam trap

Watch out — candidates often choose Event Grid (Option B) because it is serverless and has retry policies, but they overlook that Event Grid does not provide built-in message deduplication, which is critical for idempotent processing in this scenario.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Azure Functions with Service Bus queue trigger and duplicate detection

It uses a Service Bus queue with duplicate detection, which ensures idempotent processing by automatically discarding duplicate messages within a defined time window. The web app uploads the image and immediately sends a message to the queue, minimizing user latency. The Azure Function triggered by the queue processes the image asynchronously, and Service Bus's built-in retry policy (via dead-lettering and max delivery count) provides resilience against failures.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Azure Functions with Blob Storage trigger, using leaseBlob

    Why it's wrong here

    Blob trigger processes each blob once, but if the function fails and retries, it could reprocess; no built-in deduplication.

  • Azure Logic Apps with Blob Storage connector

    Why it's wrong here

    Azure Functions with Event Grid trigger [wrong]

  • Azure Functions with Event Grid trigger

    Why it's wrong here

    Azure Logic Apps with Blob Storage connector [wrong]

  • Azure Functions with Service Bus queue trigger and duplicate detection

    Why this is correct

    Service Bus duplicate detection ensures idempotency; the queue separates upload from processing.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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