- A
RegisterModel step
Why wrong: Registration is not needed for skipping training.
- B
Condition step
Evaluates the condition and determines the next step.
- C
Processing step
Why wrong: Processing could be used for data quality check, but the question asks for steps required for the conditional execution.
- D
Training step
Executes the training if condition passes.
- E
Transform step
Why wrong: Transform is for batch inference, not relevant.
Question 519 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 uses SageMaker Pipelines to train and evaluate a model. They want to run the training step only if the data quality check passes, otherwise skip. Which TWO pipeline step types are required? (Select TWO.)
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 (B) is required because SageMaker Pipelines uses a Condition step to evaluate a boolean expression—such as whether a data quality check passed—and then conditionally execute subsequent steps. The Training step (D) is required because it is the step that actually runs the model training job, and it must be placed inside the 'If' branch of the Condition step to run only when the condition is true.
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
Registration is not needed for skipping training.
- ✓
Condition step
Why this is correct
Evaluates the condition and determines the next step.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Processing step
Why it's wrong here
Processing could be used for data quality check, but the question asks for steps required for the conditional execution.
- ✓
Training step
Why this is correct
Executes the training if condition passes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Transform step
Why it's wrong here
Transform is for batch inference, not relevant.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often think a Processing step (C) can handle conditional logic because it runs custom code, but SageMaker Pipelines requires a dedicated Condition step for branching; the Processing step is only for data processing, not for pipeline control flow.
Detailed technical explanation
How to think about this question
Under the hood, the Condition step in SageMaker Pipelines uses a JSONPath expression to compare values from previous step outputs (e.g., a quality metric from a Processing step) against a threshold, and then directs the pipeline to one of two branches: 'If' or 'Else'. The Training step must be explicitly placed inside the 'If' branch of the Condition step definition in the pipeline JSON or SDK; if the condition fails, the pipeline skips the training step entirely and proceeds to the 'Else' branch (which could be empty or contain a notification step).
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 (B) is required because SageMaker Pipelines uses a Condition step to evaluate a boolean expression—such as whether a data quality check passed—and then conditionally execute subsequent steps. The Training step (D) is required because it is the step that actually runs the model training job, and it must be placed inside the 'If' branch of the Condition step to run only when the condition is true.
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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