- A
The evaluation step did not produce the output correctly.
Why wrong: The evaluation step produced the output with key 'accuracy' as expected.
- B
The training step output is being used instead of the evaluation step output.
Why wrong: Even if that were the case, the property name mismatch would still cause the error.
- C
The pipeline definition has a syntax error.
Why wrong: The error message points to a missing property, not a syntax error.
- D
The Condition step is referencing the wrong property name.
Correct: 'Accuracy' vs 'accuracy' case mismatch causes the error.
Quick Answer
The answer is that the Condition step is referencing the wrong property name due to case sensitivity. This is because SageMaker Pipelines property names are case-sensitive, so the Condition step’s reference to 'Accuracy' (with a capital A) does not match the evaluation step’s output JSON key 'accuracy' (all lowercase), causing the pipeline to fail with the error that the property does not exist. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this tests your understanding of how SageMaker Pipelines evaluates step outputs and the common trap of assuming property names are case-insensitive. A frequent mistake is to overlook the exact casing of JSON keys when configuring Condition steps, especially when outputs are generated by different team members or libraries. Remember the memory tip: JSON keys are case-sensitive, so always copy the property name exactly as it appears in the output, including capitalization.
MLA-C01 ML Model Development Practice Question
This MLA-C01 practice question tests your understanding of ml model development. 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 team is using SageMaker Pipelines to train a model. The pipeline has multiple steps: data processing, training, evaluation, and registration. They use a Condition step to evaluate the model's accuracy and if it exceeds a threshold, register the model. They run the pipeline and the training step succeeds, but the pipeline fails at the Condition step with an error: 'Unable to evaluate condition: the property 'Accuracy' does not exist.' The evaluation step output is a JSON file with key 'accuracy'. What 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 Condition step is referencing the wrong property name.
Option A is correct because the Condition step references 'Accuracy' (capital A) but the evaluation output uses 'accuracy' (lowercase). Property names are case-sensitive. Option B is wrong because the evaluation step produced output correctly. Option C is wrong because if training step output were used, the property name would still be mismatched. Option D is wrong because the error is specific to property name, not syntax.
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 evaluation step did not produce the output correctly.
Why it's wrong here
The evaluation step produced the output with key 'accuracy' as expected.
- ✗
The training step output is being used instead of the evaluation step output.
Why it's wrong here
Even if that were the case, the property name mismatch would still cause the error.
- ✗
The pipeline definition has a syntax error.
Why it's wrong here
The error message points to a missing property, not a syntax error.
- ✓
The Condition step is referencing the wrong property name.
Why this is correct
Correct: 'Accuracy' vs 'accuracy' case mismatch causes the error.
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
The evaluation step produced the output with key 'accuracy' as expected.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Model Development — This question tests ML Model Development — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The Condition step is referencing the wrong property name. — Option A is correct because the Condition step references 'Accuracy' (capital A) but the evaluation output uses 'accuracy' (lowercase). Property names are case-sensitive. Option B is wrong because the evaluation step produced output correctly. Option C is wrong because if training step output were used, the property name would still be mismatched. Option D is wrong because the error is specific to property name, not syntax.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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.
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Last reviewed: Jun 23, 2026
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLA-C01 exam.
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