Question 393 of 835
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MLA-C01 Practice Question: A team is deploying a model using SageMaker…
A team is deploying a model using SageMaker Pipelines. They have defined a pipeline with steps: preprocessing, training, evaluation, and conditional registration. The evaluation step produces a JSON file with metrics. If accuracy > 0.9, the model is registered; else, the pipeline fails. Which TWO statements about this pipeline are correct? (Choose TWO.)
⚠ Common exam trap
Many candidates confuse the built-in ConditionStep with a Lambda-based custom step, or assume that pipeline failure triggers automatic retries, when in fact SageMaker Pipelines requires explicit retry policies and does not retry on condition failures.
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 evaluation step must output a JSON file in a specific format to be used by the condition step.
The SageMaker Pipelines condition step expects the evaluation step to output a JSON file with a specific format, typically containing a metrics dictionary. The condition step then uses a property file to extract the accuracy value from that JSON, enabling the conditional logic to evaluate whether accuracy > 0.9.
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 must output a JSON file in a specific format to be used by the condition step.
Why this is correct
SageMaker Pipelines expects the evaluation metrics in a JSON file for condition evaluation.
- ✓
The condition step can reference the accuracy value using a pipeline parameter or property file.
Why this is correct
ConditionStep uses property files or parameters to get values from previous steps.
- ✗
The conditional step should be implemented as a separate Lambda function called from the pipeline.
Why it's wrong here
SageMaker Pipelines has a native ConditionStep, no need for Lambda.
- ✗
The pipeline will automatically retry the training step if the condition fails.
Why it's wrong here
SageMaker Pipelines does not automatically retry steps based on conditions; it will fail the pipeline.
- ✗
The model registration step should be placed before the condition step to ensure the model is always registered.
Why it's wrong here
Registration should only happen if condition is met; placing before would register even if accuracy fails.
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Last reviewed: Jun 24, 2026
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