- A
AWS CloudFormation or AWS CDK
Both are IaC services that can define and provision SageMaker resources in a reproducible manner.
- B
SageMaker Pipelines
Why wrong: Pipelines orchestrate ML workflows but are not IaC tools for infrastructure provisioning.
- C
AWS Step Functions
Why wrong: Step Functions orchestrate workflows but are not designed for defining infrastructure.
- D
SageMaker Studio
Why wrong: Studio is an IDE, not an IaC tool.
Question 399 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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 wants to deploy a machine learning model using infrastructure as code to ensure reproducibility. They need to define the SageMaker Studio domain, user profiles, and the endpoint configuration. Which tool should they use?
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
✓
AWS CloudFormation or AWS CDK
AWS CloudFormation and AWS CDK are infrastructure-as-code (IaC) tools that allow you to define, provision, and manage AWS resources declaratively. For this use case, they can model the entire SageMaker Studio domain, user profiles, and endpoint configuration in templates or code, ensuring reproducibility and version control. This aligns directly with the requirement to deploy ML infrastructure as code.
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.
- ✓
AWS CloudFormation or AWS CDK
Why this is correct
Both are IaC services that can define and provision SageMaker resources in a reproducible manner.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
SageMaker Pipelines
Why it's wrong here
Pipelines orchestrate ML workflows but are not IaC tools for infrastructure provisioning.
- ✗
AWS Step Functions
Why it's wrong here
Step Functions orchestrate workflows but are not designed for defining infrastructure.
- ✗
SageMaker Studio
Why it's wrong here
Studio is an IDE, not an IaC tool.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse SageMaker Pipelines (a CI/CD service for ML steps) with infrastructure-as-code tools, forgetting that Pipelines does not manage underlying infrastructure resources like Studio domains or endpoint configurations.
Detailed technical explanation
How to think about this question
Under the hood, CloudFormation uses a declarative JSON/YAML template to call the SageMaker API to create resources like `AWS::SageMaker::Domain` and `AWS::SageMaker::EndpointConfig`, while CDK compiles high-level constructs into CloudFormation templates. A subtle behavior: when using CDK, the `CfnDomain` construct maps directly to the CloudFormation resource, but the higher-level `Domain` construct automatically handles the execution role and VPC configuration, reducing boilerplate. In a real-world scenario, teams often combine CloudFormation with SageMaker Projects to enforce governance and track infrastructure changes via Git.
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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Deployment and Orchestration of ML Workflows — study guide chapter
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Deployment and Orchestration of ML Workflows practice questions
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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: AWS CloudFormation or AWS CDK — AWS CloudFormation and AWS CDK are infrastructure-as-code (IaC) tools that allow you to define, provision, and manage AWS resources declaratively. For this use case, they can model the entire SageMaker Studio domain, user profiles, and endpoint configuration in templates or code, ensuring reproducibility and version control. This aligns directly with the requirement to deploy ML infrastructure as code.
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.
About these practice questions
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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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