- A
Never
Never lets the container exit and stay stopped, which is useful for one-time batch jobs.
- B
OnFailure
OnFailure restarts the container only when it exits with a failure code, not after success.
- C
Always
Why wrong: Always restarts the container after it exits, which is not appropriate for a completed batch job.
- D
Manual
Why wrong: Manual is not a valid Azure Container Instances restart policy.
- E
Scheduled
Why wrong: Scheduled is not a supported restart policy for Azure Container Instances.
Question 331 of 1,170
AZ-104 Deploy and Manage Azure Compute Practice Question
This AZ-104 practice question tests your understanding of deploy and manage azure compute. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
A batch container in Azure Container Instances should stop after a successful run and may retry only when the process fails. Which two restart policies are correct for that style of workload? Select two.
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
✓
Never
Option A (Never) is correct because it ensures the container does not restart after a successful run, which aligns with the requirement to stop after completion. Option B (OnFailure) is correct because it allows the container to retry only when the process fails, meeting the condition of restarting solely on failure. In Azure Container Instances, these two restart policies directly support batch workloads that should not restart on success but may retry on failure.
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.
- ✓
Never
Why this is correct
Never lets the container exit and stay stopped, which is useful for one-time batch jobs.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
OnFailure
Why this is correct
OnFailure restarts the container only when it exits with a failure code, not after success.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Always
Why it's wrong here
Always restarts the container after it exits, which is not appropriate for a completed batch job.
When this WOULD be correct
For a long-running service like a web server or a daemon that must always be available, the 'Always' policy ensures the container restarts automatically after any termination, including crashes or maintenance reboots.
- ✗
Manual
Why it's wrong here
Manual is not a valid Azure Container Instances restart policy.
When this WOULD be correct
If the question asked about a restart policy for a container that must be manually started after each run, such as an interactive debugging container, 'Manual' would be correct if it were a supported option. However, in Azure, this is not a valid policy.
- ✗
Scheduled
Why it's wrong here
Scheduled is not a supported restart policy for Azure Container Instances.
When this WOULD be correct
If the question were about an Azure service that supports scheduled execution, such as Azure Container Instances with a scheduled job via Azure Logic Apps or Azure Scheduler, then 'Scheduled' could be a correct policy for running containers on a timer.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AZ-104 exam frequently reuses these exact scenarios with slightly different constraints.
✓NeverCorrect answer▾
Why this is correct
Never lets the container exit and stay stopped, which is useful for one-time batch jobs.
✗AlwaysWrong answer — click to see why▾
Why this is wrong here
The 'Always' restart policy restarts the container regardless of exit code, which would cause the batch job to run repeatedly even after a successful run, contradicting the requirement to stop after success.
★ When this WOULD be the correct answer
For a long-running service like a web server or a daemon that must always be available, the 'Always' policy ensures the container restarts automatically after any termination, including crashes or maintenance reboots.
Why candidates choose this
Candidates may confuse batch processing with services that need high availability, assuming that any container workload benefits from automatic restart, or they may not distinguish between success and failure exit codes.
✗ManualWrong answer — click to see why▾
Why this is wrong here
Azure Container Instances does not support a 'Manual' restart policy. The available policies are Always, Never, and OnFailure.
★ When this WOULD be the correct answer
If the question asked about a restart policy for a container that must be manually started after each run, such as an interactive debugging container, 'Manual' would be correct if it were a supported option. However, in Azure, this is not a valid policy.
Why candidates choose this
Candidates may assume 'Manual' is a valid policy because other Azure services (like Azure VMs) have manual restart options, leading them to incorrectly extend that concept to ACI.
✗ScheduledWrong answer — click to see why▾
Why this is wrong here
Azure Container Instances does not support a 'Scheduled' restart policy. The only valid restart policies are Always, Never, and OnFailure.
★ When this WOULD be the correct answer
If the question were about an Azure service that supports scheduled execution, such as Azure Container Instances with a scheduled job via Azure Logic Apps or Azure Scheduler, then 'Scheduled' could be a correct policy for running containers on a timer.
Why candidates choose this
Candidates may confuse container restart policies with job scheduling concepts, assuming that 'Scheduled' is a valid policy for batch workloads that need to run at specific times.
Analysis generated from the official AZ-104blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the 'OnFailure' policy with 'Always' or think 'Never' means no restarts at all, missing that 'OnFailure' is the only policy that retries exclusively on failure, while 'Always' would restart even after success, which is incorrect for this batch workload scenario.
Detailed technical explanation
How to think about this question
Azure Container Instances restart policies are enforced based on the container's exit code: OnFailure restarts only when the exit code is non-zero (indicating failure), while Never stops the container regardless of exit code. This behavior is critical for batch jobs where idempotency is required—if a container fails, OnFailure ensures retries without manual intervention, but a successful run (exit code 0) halts execution to avoid wasted compute costs. Under the hood, ACI uses the container's exit code from the process inside the container to determine the restart action, and the policy is set at deployment time via the `--restart-policy` parameter in the Azure CLI or the `restartPolicy` property in ARM templates.
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-104 question test?
Deploy and Manage Azure Compute — This question tests Deploy and Manage Azure Compute — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Never — Option A (Never) is correct because it ensures the container does not restart after a successful run, which aligns with the requirement to stop after completion. Option B (OnFailure) is correct because it allows the container to retry only when the process fails, meeting the condition of restarting solely on failure. In Azure Container Instances, these two restart policies directly support batch workloads that should not restart on success but may retry on failure.
What should I do if I get this AZ-104 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 11, 2026
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