- A
The Docker image is built for a different CPU architecture.
Incompatible architecture prevents container from running.
- B
The training script has a syntax error.
Why wrong: Syntax errors cause Python errors, not container start errors.
- C
The S3 input data is missing.
Why wrong: Missing data causes data loading errors, not container start.
- D
The output path is not writable.
Why wrong: Output path issues cause errors during training, not start.
Question 1,579 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 company uses Amazon SageMaker to train a model. The training job uses a custom Docker container. The job fails with the error 'CannotStartContainerError: API error (500).' Which of the following is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The Docker image is built for a different CPU architecture.
The error 'CannotStartContainerError: API error (500)' occurs when the Docker daemon on the SageMaker training instance fails to start the container. The most common cause is a CPU architecture mismatch: if the Docker image is built for a different architecture (e.g., ARM64) than the SageMaker training instance (which uses x86_64), the container cannot execute. SageMaker training instances are x86_64-based, so an image built for ARM64 will trigger this error at container launch time.
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.
- ✓
The Docker image is built for a different CPU architecture.
Why this is correct
Incompatible architecture prevents container from running.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The training script has a syntax error.
Why it's wrong here
Syntax errors cause Python errors, not container start errors.
- ✗
The S3 input data is missing.
Why it's wrong here
Missing data causes data loading errors, not container start.
- ✗
The output path is not writable.
Why it's wrong here
Output path issues cause errors during training, not start.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse container start errors with runtime errors — they often pick 'syntax error' or 'missing data' because those are common training failures, but the specific Docker API error points to a pre-execution infrastructure issue, not a code or data problem.
Trap categories for this question
Command / output trap
Output path issues cause errors during training, not start.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker uses the Docker Engine API to pull and run containers on EC2 instances. The 'CannotStartContainerError' with HTTP 500 indicates the Docker daemon could not create the container's root filesystem or execute the entrypoint. This often happens when the image's manifest specifies a platform (e.g., linux/arm64 via '--platform' flag or multi-architecture build) incompatible with the host kernel. In practice, building the image on an Apple Silicon Mac without specifying '--platform=linux/amd64' is a common source of this error.
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 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.
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 MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The Docker image is built for a different CPU architecture. — The error 'CannotStartContainerError: API error (500)' occurs when the Docker daemon on the SageMaker training instance fails to start the container. The most common cause is a CPU architecture mismatch: if the Docker image is built for a different architecture (e.g., ARM64) than the SageMaker training instance (which uses x86_64), the container cannot execute. SageMaker training instances are x86_64-based, so an image built for ARM64 will trigger this error at container launch time.
What should I do if I get this MLS-C01 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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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: Jul 4, 2026
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