- A
Amazon EventBridge
Why wrong: EventBridge can trigger actions but lacks complex workflow orchestration with approval steps.
- B
AWS Lambda
Why wrong: Lambda is for single-purpose functions, not multi-step workflows.
- C
SageMaker Pipelines
Why wrong: Pipelines are for training workflows, not for approval-driven deployment.
- D
AWS Step Functions
Step Functions can coordinate multiple steps including approval and deployment.
Question 433 of 1,000
mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: An ML team uses SageMaker Model Registry to…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. 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.
An ML team uses SageMaker Model Registry to manage model versions. They want to automatically deploy a model to a staging endpoint when a new version is approved. Which AWS service can orchestrate this?
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 Step Functions
AWS Step Functions is the correct choice because it can orchestrate a workflow that triggers on a Model Registry event (e.g., model version approval) and then deploys the model to a staging endpoint using SageMaker SDK calls. Step Functions provides built-in integration with SageMaker via service integrations, allowing you to chain approval checks, model creation, and endpoint deployment without custom 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.
- ✗
Amazon EventBridge
Why it's wrong here
EventBridge can trigger actions but lacks complex workflow orchestration with approval steps.
- ✗
AWS Lambda
Why it's wrong here
Lambda is for single-purpose functions, not multi-step workflows.
- ✗
SageMaker Pipelines
Why it's wrong here
Pipelines are for training workflows, not for approval-driven deployment.
- ✓
AWS Step Functions
Why this is correct
Step Functions can coordinate multiple steps including approval and deployment.
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 pick SageMaker Pipelines (Option C) because it is associated with model workflows, but Pipelines is for training and registration, not for post-approval deployment orchestration, which requires a state machine like Step Functions.
Detailed technical explanation
How to think about this question
Step Functions uses Amazon States Language (ASL) to define state machines that can call SageMaker APIs directly (e.g., CreateModel, CreateEndpointConfig, CreateEndpoint) via service integrations. A common pattern is to use EventBridge to detect the ModelRegistryStateChange event (status: Approved) and route it to a Step Functions execution, which then handles the deployment with built-in error handling and rollback logic. In production, you might also include a canary deployment step or integration with CloudWatch alarms to validate the staging endpoint before promoting to production.
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?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: AWS Step Functions — AWS Step Functions is the correct choice because it can orchestrate a workflow that triggers on a Model Registry event (e.g., model version approval) and then deploys the model to a staging endpoint using SageMaker SDK calls. Step Functions provides built-in integration with SageMaker via service integrations, allowing you to chain approval checks, model creation, and endpoint deployment without custom 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.
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Last reviewed: Jun 24, 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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