- A
RegisterModelStep
RegisterModelStep is specifically for registering a model version in the Model Registry.
- B
ConditionStep
Why wrong: ConditionStep is for conditional branching, not registration.
- C
TransformStep
Why wrong: TransformStep runs batch transforms, not registration.
- D
TrainingStep
Why wrong: TrainingStep only runs training, does not register.
Question 145 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance and Security
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?
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
✓
RegisterModelStep
The correct step type is `RegisterModelStep`, which is specifically designed to create a new model version in the SageMaker Model Registry after a training or processing step completes. This step captures the model artifacts, training metrics, and metadata, and registers them under a specified model package group for approval workflows. Other step types serve different pipeline functions and do not interact with the Model Registry.
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.
- ✓
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
Common exam trap: answer the scenario, not the keyword
AWS often tests the distinction between executing a training job and registering the resulting model, leading candidates to mistakenly select `TrainingStep` when the question specifically asks about adding a model to the registry.
Detailed technical explanation
How to think about this question
Under the hood, `RegisterModelStep` creates an inference specification and calls the `CreateModelPackage` API, which stores the model artifacts in S3 and registers metadata (e.g., training metrics, approval status) in the Model Registry. This step can also be configured to automatically approve the model if it meets predefined criteria, enabling fully automated MLOps pipelines. In real-world scenarios, teams often chain `TrainingStep` → `RegisterModelStep` to ensure every retrained model is versioned and auditable.
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.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: RegisterModelStep — The correct step type is `RegisterModelStep`, which is specifically designed to create a new model version in the SageMaker Model Registry after a training or processing step completes. This step captures the model artifacts, training metrics, and metadata, and registers them under a specified model package group for approval workflows. Other step types serve different pipeline functions and do not interact with the Model Registry.
What should I do if I get this MLA-C01 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.
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Last reviewed: Jul 4, 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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