- A
AWS CDK (Cloud Development Kit)
CDK allows defining infrastructure using programming languages and synthesizes CloudFormation templates.
- B
SageMaker Python SDK
Why wrong: The SDK is used to interact with SageMaker APIs, not for IaC management of Studio domains.
- C
Boto3
Why wrong: Boto3 is the AWS SDK for Python, used for programmatic access, not IaC declarative management.
- D
Terraform by HashiCorp
Terraform is an IaC tool that supports AWS resources including SageMaker Studio.
- E
AWS CloudFormation
CloudFormation is an IaC service that can define SageMaker Studio resources in templates.
Question 891 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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is migrating their ML infrastructure to AWS and wants to use infrastructure as code to manage SageMaker Studio domains, user profiles, and associated resources. Which services can they use for this purpose? (Select 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
✓
AWS CDK (Cloud Development Kit)
AWS CDK (Cloud Development Kit) is correct because it allows you to define AWS infrastructure, including SageMaker Studio domains and user profiles, using familiar programming languages like Python or TypeScript. CDK synthesizes these definitions into CloudFormation templates, enabling infrastructure as code (IaC) for SageMaker resources. This approach provides type safety and high-level abstractions, making it suitable for managing complex ML environments.
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 CDK (Cloud Development Kit)
Why this is correct
CDK allows defining infrastructure using programming languages and synthesizes CloudFormation templates.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
SageMaker Python SDK
Why it's wrong here
The SDK is used to interact with SageMaker APIs, not for IaC management of Studio domains.
- ✗
Boto3
Why it's wrong here
Boto3 is the AWS SDK for Python, used for programmatic access, not IaC declarative management.
- ✓
Terraform by HashiCorp
Why this is correct
Terraform is an IaC tool that supports AWS resources including SageMaker Studio.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AWS CloudFormation
Why this is correct
CloudFormation is an IaC service that can define SageMaker Studio resources in templates.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the SageMaker Python SDK (used for ML workflows) or Boto3 (used for general AWS API calls) with infrastructure as code tools, but neither provides declarative, state-managed provisioning of SageMaker Studio resources like CloudFormation, CDK, or Terraform do.
Detailed technical explanation
How to think about this question
Under the hood, AWS CDK uses constructs to represent SageMaker resources, such as `CfnDomain` and `CfnUserProfile`, which map directly to CloudFormation resource types. When you deploy a CDK app, it generates a CloudFormation template that AWS CloudFormation executes, ensuring idempotent deployments. In a real-world scenario, a team might use CDK to define a SageMaker Studio domain with specific IAM roles, VPC settings, and user profiles, then version-control that code to enforce consistent environments across dev, test, and prod.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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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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 CDK (Cloud Development Kit) — AWS CDK (Cloud Development Kit) is correct because it allows you to define AWS infrastructure, including SageMaker Studio domains and user profiles, using familiar programming languages like Python or TypeScript. CDK synthesizes these definitions into CloudFormation templates, enabling infrastructure as code (IaC) for SageMaker resources. This approach provides type safety and high-level abstractions, making it suitable for managing complex ML environments.
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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