- A
Linux containers split into two containers (4 GB each) in the same group
Why wrong: Splitting resources may not be feasible for the job; also adds complexity.
- B
Linux container with 8 GB and 4 vCPUs in a single container group
Linux is cheaper, single group minimizes overhead.
- C
Windows container with 8 GB memory and 4 vCPUs
Why wrong: Windows containers have higher licensing costs than Linux.
- D
Linux container with 8 GB and 4 vCPUs, but using two separate container groups
Why wrong: Multiple groups increase cost due to separate billable resources.
Quick Answer
The answer is a single Linux container group with 8 GB and 4 vCPUs, as this configuration minimizes cost. Azure Container Instances bills per container group, not per individual container within the group, meaning that allocating the full 8 GB and 4 vCPUs to one container in a single group meets the batch job’s requirements without incurring extra charges. Splitting the resources across multiple containers or using separate groups would result in paying for additional container group overhead, increasing costs without any performance benefit. On the AZ-204 exam, this question tests your understanding of ACI’s resource allocation and billing model, a common trap being the assumption that multiple smaller containers are cheaper. Remember the memory tip: “One group, one bill—splitting costs you more.”
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses Azure Container Instances to run a batch job. The job requires 8 GB of memory and 4 vCPUs. You need to minimize costs. Which container group configuration should you choose?
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 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
Linux container with 8 GB and 4 vCPUs in a single container group
Option B is correct because Azure Container Instances bills per container group, not per container within the group. A single Linux container with 8 GB and 4 vCPUs in one container group meets the job's requirements with the lowest cost, as it avoids the overhead of multiple containers or groups. Splitting resources across containers or using separate groups would increase costs without benefit.
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.
- ✗
Linux containers split into two containers (4 GB each) in the same group
Why it's wrong here
Splitting resources may not be feasible for the job; also adds complexity.
- ✓
Linux container with 8 GB and 4 vCPUs in a single container group
Why this is correct
Linux is cheaper, single group minimizes overhead.
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.
- ✗
Windows container with 8 GB memory and 4 vCPUs
Why it's wrong here
Windows containers have higher licensing costs than Linux.
- ✗
Linux container with 8 GB and 4 vCPUs, but using two separate container groups
Why it's wrong here
Multiple groups increase cost due to separate billable resources.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think splitting resources across multiple containers or groups reduces cost, but Azure bills per container group as a whole, so consolidating into a single group with the required resources is the most cost-effective approach.
Detailed technical explanation
How to think about this question
Azure Container Instances bills based on the vCPU and memory resources allocated to a container group, not per container instance. The container group is the unit of deployment and billing, so splitting resources across multiple containers within the same group does not change the total allocated resources or cost. In real-world scenarios, using separate container groups for a single batch job would be inefficient because each group incurs its own minimum billing duration (e.g., 1 second to 1 minute depending on region), leading to higher costs for short-lived jobs.
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.
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.
- →
Develop Azure compute solutions — study guide chapter
Learn the concepts, then practise the questions
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Develop Azure compute solutions practice questions
Targeted practice on this topic area only
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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: Linux container with 8 GB and 4 vCPUs in a single container group — Option B is correct because Azure Container Instances bills per container group, not per container within the group. A single Linux container with 8 GB and 4 vCPUs in one container group meets the job's requirements with the lowest cost, as it avoids the overhead of multiple containers or groups. Splitting resources across containers or using separate groups would increase costs without benefit.
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.
About these practice questions
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Last reviewed: Jun 24, 2026
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