Quick Answer
The correct approach is to use Durable Functions with a blob-triggered client function. This works because Azure Functions on a Consumption Plan enforce a maximum execution timeout of 10 minutes, which is far too short for operations lasting up to 30 minutes. By using a blob-triggered client function to kick off a Durable Functions orchestration, the long-running processing is offloaded to the orchestration’s durable timer and retry mechanisms, which can easily handle durations beyond the Consumption Plan’s hard limit. On the AZ-204 exam, this scenario tests your understanding of how to circumvent the Consumption Plan’s timeout constraints using Durable Functions’ fan-out/fan-in or async HTTP APIs—a common trap is assuming you can simply increase the functionTimeout in host.json, but that only works on Premium or Dedicated plans. Remember the memory tip: “Blob triggers the start, Durable runs the part” to recall that the blob trigger is just the entry point, while the orchestration handles the heavy lifting beyond the timeout wall.
This AZ-204 practice question tests your understanding of develop azure compute solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are developing a solution that processes large files uploaded to Azure Blob Storage. Each file must be processed by a long-running operation that may take up to 30 minutes. You need to use Azure Functions with a consumption plan. How should you handle the processing?
Use a Blob trigger function with a retry policy
Why wrong: Function still times out before 30 minutes.
Increase the function timeout to 30 minutes
Why wrong: Consumption plan max is 15 minutes.
Use an Event Grid trigger function to process the blob
Why wrong: Same timeout limitation.
Use Durable Functions with a blob-triggered client function
Durable Functions can persist state and run longer.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use Durable Functions with a blob-triggered client function
D is correct because Azure Functions on a Consumption Plan have a default timeout of 5 minutes and a maximum of 10 minutes. A blob-triggered client function can start a Durable Functions orchestration, which can run for up to 30 minutes (or longer) by using the orchestration's timeout and retry capabilities, avoiding the Consumption Plan's timeout limit.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use a Blob trigger function with a retry policy
Why it's wrong here
Function still times out before 30 minutes.
Increase the function timeout to 30 minutes
Why it's wrong here
Consumption plan max is 15 minutes.
Use an Event Grid trigger function to process the blob
Why it's wrong here
Same timeout limitation.
Use Durable Functions with a blob-triggered client function
Why this is correct
Durable Functions can persist state and run longer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates assume increasing the function timeout or using a retry policy can solve long-running operations, but they overlook the hard 10-minute limit on Consumption Plan and the need for a stateful orchestration pattern like Durable Functions.
Detailed technical explanation
Durable Functions use the Azure Storage queue and table storage to manage orchestration state and history, allowing orchestrator functions to be idle between activities without consuming execution time. The blob-triggered client function can start an orchestration via the `StartNewAsync` method, and the orchestration can include activities that each run within the Consumption Plan timeout, but the overall orchestration can span hours or days by using `ContinueAsNew` or timers. A real-world scenario is processing large video files where the orchestration polls for completion of a transcoding job, with each activity running under 10 minutes.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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FAQ
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Use Durable Functions with a blob-triggered client function — D is correct because Azure Functions on a Consumption Plan have a default timeout of 5 minutes and a maximum of 10 minutes. A blob-triggered client function can start a Durable Functions orchestration, which can run for up to 30 minutes (or longer) by using the orchestration's timeout and retry capabilities, avoiding the Consumption Plan's timeout limit.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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