- A
RegisterModel step
This step creates a new model version in the Model Registry.
- B
Training step
Why wrong: Training step only trains the model; model registration requires a RegisterModel step.
- C
Condition step
A Condition step can check if metrics meet a threshold and route to the RegisterModel step only if conditions are met.
- D
Processing step for evaluation
A Processing step can compute evaluation metrics to determine if the model should be registered.
- E
Transform step
Why wrong: Transform step runs batch inference and does not contribute to model versioning.
Question 941 of 1,000
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. 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 company uses SageMaker Pipelines to automate their ML workflow. They need to add model versioning and approval workflow. Which THREE steps should they include in their pipeline to achieve this? (Choose THREE.)
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
✓
RegisterModel step
The RegisterModel step is correct because it creates a model package in SageMaker Model Registry, which enables versioning and approval workflows. This step registers the trained model artifact along with metadata, allowing the pipeline to track model versions and trigger approval processes for deployment.
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.
- ✓
RegisterModel step
Why this is correct
This step creates a new model version in the Model Registry.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Training step
Why it's wrong here
Training step only trains the model; model registration requires a RegisterModel step.
- ✓
Condition step
Why this is correct
A Condition step can check if metrics meet a threshold and route to the RegisterModel step only if conditions are met.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Processing step for evaluation
Why this is correct
A Processing step can compute evaluation metrics to determine if the model should be registered.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Transform step
Why it's wrong here
Transform step runs batch inference and does not contribute to model versioning.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think the Training step alone suffices for versioning, but AWS explicitly separates model training from model registration, requiring the RegisterModel step for registry integration.
Detailed technical explanation
How to think about this question
The RegisterModel step internally calls the CreateModelPackage API, which stores the model in the registry with a version number. The Condition step evaluates metrics (e.g., from a Processing step) against a threshold, and if passed, can trigger the RegisterModel step, enabling automated approval gates. In practice, this pattern is used for A/B testing or canary deployments where only high-performing models are promoted.
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.
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 MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: RegisterModel step — The RegisterModel step is correct because it creates a model package in SageMaker Model Registry, which enables versioning and approval workflows. This step registers the trained model artifact along with metadata, allowing the pipeline to track model versions and trigger approval processes for deployment.
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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