The correct choice is to deploy the web front-end in App Service and the worker in Azure Kubernetes Service (AKS). This is necessary because Azure App Service treats all containers within a single plan as a single scaling unit, meaning you cannot scale containers independently in the same plan—even with multi-container configurations like Docker Compose. By splitting the architecture, the front-end remains in App Service for cost efficiency, while AKS provides the orchestration needed to scale the worker independently based on its own load. On the AZ-204 exam, this question tests your understanding of App Service’s scaling limitations versus AKS’s granular control; a common trap is assuming that multiple containers in the same plan can scale separately. Remember the key constraint: one App Service plan equals one scaling unit. For a memory tip, think “One plan, one scale—AKS for separate sails.”
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 deploying a containerized application to Azure App Service. The application consists of a web front-end and a background worker. You want to run both containers in the same App Service plan to minimize costs. The worker should scale independently from the web front-end. What should you do?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy the web front-end in App Service and the worker in Azure Kubernetes Service.
Option A is correct because Azure App Service does not support running multiple containers that scale independently within the same plan; each App Service plan runs a single container or a multi-container group (via Docker Compose) as a single unit. By deploying the web front-end in App Service and the worker in Azure Kubernetes Service (AKS), you can independently scale each component based on its own load, while still sharing the same App Service plan for the front-end to minimize costs. AKS provides the necessary orchestration for the worker to scale independently, and the two services can communicate over the internal network or via Azure messaging services.
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.
✓
Deploy the web front-end in App Service and the worker in Azure Kubernetes Service.
Why this is correct
AKS allows independent scaling of the worker, while App Service handles the web front-end.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Docker Compose to run both containers in the same App Service plan.
Why it's wrong here
Docker Compose still runs in one plan; scaling is not independent.
✗
Deploy both containers in the same App Service plan using multiple containers.
Why it's wrong here
Containers in the same plan scale together; you cannot scale them independently.
✗
Deploy the worker as a separate Azure Container Instance.
Why it's wrong here
ACI is for single-instance containers; scaling is manual and not integrated.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume 'multiple containers' in App Service (via Docker Compose) allows independent scaling, but in reality, all containers in the same App Service plan scale as a single unit, which violates the requirement for independent scaling.
Detailed technical explanation
How to think about this question
Under the hood, Azure App Service uses a single container or a Docker Compose group as a single 'site' with one scaling configuration; the number of instances in the App Service plan applies uniformly to all containers in that site. For independent scaling, you need an orchestrator like AKS, which manages pods as separate scaling units, or Azure Container Apps, which supports per-revision scaling. A real-world scenario is a web app with a background queue processor: the web tier may need 10 instances during peak traffic, while the worker only needs 3, making independent scaling critical for cost efficiency.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
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: Deploy the web front-end in App Service and the worker in Azure Kubernetes Service. — Option A is correct because Azure App Service does not support running multiple containers that scale independently within the same plan; each App Service plan runs a single container or a multi-container group (via Docker Compose) as a single unit. By deploying the web front-end in App Service and the worker in Azure Kubernetes Service (AKS), you can independently scale each component based on its own load, while still sharing the same App Service plan for the front-end to minimize costs. AKS provides the necessary orchestration for the worker to scale independently, and the two services can communicate over the internal network or via Azure messaging services.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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