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AZ-204 Develop Azure compute solutions Practice Question

A long-running webhook processor must process thousands of independent files. The developer wants status tracking, checkpoints, and replay-safe orchestration. Which Azure Functions capability should be used?

⚠ Common exam trap

A common mix-up: candidates confuse a simple trigger (like Timer or Blob trigger) with the orchestration capabilities needed for stateful, long-running workflows, overlooking that Durable Functions provides the necessary checkpointing and replay safety.

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

Durable Functions orchestrator

Durable Functions orchestrator is correct because it provides built-in support for status tracking, checkpointing, and replay-safe orchestration via the Event Sourcing pattern. The orchestrator function automatically saves execution history to a storage table, enabling reliable resumption after crashes or restarts, which is essential for processing thousands of independent files with long-running workflows.

Answer analysis

Option-by-option breakdown

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

  • Blob lifecycle management

    Why it's wrong here

    Lifecycle management moves or deletes blobs and does not orchestrate compute.

  • Timer trigger only

    Why it's wrong here

    A timer trigger schedules execution but does not provide orchestration state.

  • Durable Functions orchestrator

    Why this is correct

    Durable Functions provides stateful orchestration, checkpointing, and durable execution history.

  • Azure Policy remediation

    Why it's wrong here

    Policy remediation corrects resource compliance, not application workflows.

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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