Quick Answer
The answer is RegisterModelStep, because this is the dedicated SageMaker Pipeline step type designed specifically to register a trained model in the SageMaker Model Registry after a pipeline run. Unlike the Training step, which only produces a model artifact, or the Transform step, which performs batch inference, the RegisterModel step packages the model with metadata, metrics, and a version number, making it ready for human review or automated approval workflows. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your understanding of SageMaker Pipelines step types and their distinct roles—a common trap is confusing the Training step’s output with the registration action itself. Remember that model registration is a separate, explicit step in the pipeline DAG, not an automatic side effect of training. A helpful memory tip: think “Train, then Register” as two distinct actions, and associate the word “Register” directly with the Model Registry’s versioning and approval lifecycle.
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 uses SageMaker Pipelines to automate model retraining. After a successful pipeline run, they want to register the new model version in the SageMaker Model Registry so that it can be reviewed for approval. Which step type should they add to the pipeline?
RegisterModelStep
RegisterModelStep is specifically for registering a model version in the Model Registry.
ConditionStep
Why wrong: ConditionStep is for conditional branching, not registration.
TransformStep
Why wrong: TransformStep runs batch transforms, not registration.
TrainingStep
Why wrong: TrainingStep only runs training, does not register.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
RegisterModelStep
Option B is correct because the RegisterModel step in SageMaker Pipelines registers a model in the Model Registry. Option A (Training) only trains. Option C (Transform) is for batch inference. Option D (Condition) is for branching.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
RegisterModelStep
Why this is correct
RegisterModelStep is specifically for registering a model version in the Model Registry.
Related concept
Read the scenario before looking for a memorised answer.
ConditionStep
Why it's wrong here
ConditionStep is for conditional branching, not registration.
TransformStep
Why it's wrong here
TransformStep runs batch transforms, not registration.
TrainingStep
Why it's wrong here
TrainingStep only runs training, does not register.
Common exam traps
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.
Detailed technical explanation
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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
ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Read the scenario before looking for a memorised answer..
The correct answer is: RegisterModelStep — Option B is correct because the RegisterModel step in SageMaker Pipelines registers a model in the Model Registry. Option A (Training) only trains. Option C (Transform) is for batch inference. Option D (Condition) is for branching.
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.
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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