Question 664 of 997
Develop Azure compute solutionsmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is the Fan-out/Fan-in pattern, which is the correct choice because it directly enables parallel execution of multiple tasks—such as calling the payment gateway, inventory system, and shipping calculator—and then aggregates their results once all have completed. In Azure Durable Functions, this is technically implemented by using `CallActivityAsync` within the orchestrator function, combined with `Task.WhenAll` to await all parallel activity functions before collecting and processing the combined outputs. On the AZ-204 exam, this pattern tests your understanding of orchestrator function constraints and the need to avoid blocking calls; a common trap is confusing it with the Function Chaining pattern, which runs tasks sequentially. A reliable memory tip is to visualize a hand opening to release multiple fingers (fan-out) and then closing to bring them together (fan-in)—if you need parallel execution followed by aggregation, this is your pattern.

AZ-204 Develop Azure compute solutions Practice Question

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 implementing an Azure Durable Functions application that processes orders. The function must call three external APIs (payment gateway, inventory system, and shipping calculator) in parallel, then aggregate the results once all three have completed. Which Durable Functions pattern should you use?

Question 1mediummultiple choice
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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

Fan-out/Fan-in

The Fan-out/Fan-in pattern is designed exactly for this scenario: it triggers multiple function tasks in parallel (fan-out) and then aggregates their results once all complete (fan-in). In Durable Functions, this is implemented using `CallActivityAsync` in a loop with `Task.WhenAll` to wait for all parallel activities to finish, allowing the orchestrator to collect and process the combined results.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Function chaining

    Why it's wrong here

    Function chaining executes activities sequentially, not in parallel.

  • Fan-out/Fan-in

    Why this is correct

    Fan-out calls multiple activity functions in parallel, and fan-in waits for all to complete before aggregating results.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Monitor

    Why it's wrong here

    Monitor pattern repeatedly checks an external state, not used for parallel execution.

  • Human interaction

    Why it's wrong here

    Human interaction pattern waits for an external manual signal, not parallel API calls.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse 'parallel execution' with 'chaining' or 'monitoring', but the key differentiator is the need to wait for all parallel tasks to finish before aggregating results, which is the hallmark of the Fan-out/Fan-in pattern.

Detailed technical explanation

How to think about this question

Under the hood, the Fan-out/Fan-in pattern in Durable Functions leverages the orchestration replay mechanism: the orchestrator function uses `Task.WhenAll` to await multiple activity tasks, and the Durable Task Framework manages the parallel execution by dispatching each activity to the function runtime. A subtle behavior is that the orchestrator must not perform any I/O or blocking calls itself; all external API calls must be delegated to activity functions to ensure correct replay and state management. In a real-world scenario, this pattern is ideal for order processing where payment, inventory, and shipping are independent services, and the aggregated result might include a combined order status or a final confirmation number.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AZ-204 question test?

Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Fan-out/Fan-in — The Fan-out/Fan-in pattern is designed exactly for this scenario: it triggers multiple function tasks in parallel (fan-out) and then aggregates their results once all complete (fan-in). In Durable Functions, this is implemented using `CallActivityAsync` in a loop with `Task.WhenAll` to wait for all parallel activities to finish, allowing the orchestrator to collect and process the combined results.

What should I do if I get this AZ-204 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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