- A
RegisterModel step
Why wrong: RegisterModel step registers a model but does not provide conditional logic; it must be used within a branch.
- B
Condition step
Condition step evaluates a condition and routes execution to different branches (e.g., register model if accuracy > 0.9).
- C
Processing step
Why wrong: Processing steps run data processing or evaluation jobs but do not provide conditional branching natively.
- D
Transform step
Why wrong: Transform steps run batch transform jobs and cannot branch based on conditions.
Question 877 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 team built a SageMaker Pipeline that includes a training step and a model evaluation step. They want to automatically register a model in SageMaker Model Registry only if the evaluation metric (accuracy) exceeds 0.9. Which pipeline step should be used to implement this conditional logic?
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
✓
Condition step
The Condition step in SageMaker Pipelines allows you to add conditional branching logic, such as evaluating a metric and proceeding only if a condition is met. In this scenario, you would use a ConditionStep to check if the accuracy metric from the evaluation step exceeds 0.9, and then conditionally execute a RegisterModel step to register the model in SageMaker 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.
- ✗
RegisterModel step
Why it's wrong here
RegisterModel step registers a model but does not provide conditional logic; it must be used within a branch.
- ✓
Condition step
Why this is correct
Condition step evaluates a condition and routes execution to different branches (e.g., register model if accuracy > 0.9).
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Processing step
Why it's wrong here
Processing steps run data processing or evaluation jobs but do not provide conditional branching natively.
- ✗
Transform step
Why it's wrong here
Transform steps run batch transform jobs and cannot branch based on conditions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that the RegisterModel step itself can conditionally register a model based on metrics, but in SageMaker Pipelines, conditional logic must be implemented explicitly with a ConditionStep.
Detailed technical explanation
How to think about this question
The ConditionStep in SageMaker Pipelines supports comparison operators like 'Equals', 'GreaterThan', 'LessThan', etc., and can evaluate expressions against pipeline parameters or step outputs. Under the hood, the ConditionStep uses a JSONPath expression to extract the metric value from the evaluation step's output, and if the condition is true, it triggers the 'if_then_steps' list; otherwise, it triggers the 'else_steps' list. A real-world scenario is automating model promotion to production only when validation metrics exceed a threshold, preventing poor models from being registered.
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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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: Condition step — The Condition step in SageMaker Pipelines allows you to add conditional branching logic, such as evaluating a metric and proceeding only if a condition is met. In this scenario, you would use a ConditionStep to check if the accuracy metric from the evaluation step exceeds 0.9, and then conditionally execute a RegisterModel step to register the model in SageMaker 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.
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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