- A
Enable pipeline caching
Caching stores step outputs and reuses them when inputs are identical, preventing unnecessary reruns.
- B
Use a Lambda step to check input changes
Why wrong: While possible, this is a custom workaround; caching is the built-in feature designed for this purpose.
- C
Use a Conditional step to skip steps
Why wrong: Conditional steps are for branching logic, not for avoiding recomputation of unchanged steps.
- D
Set the pipeline execution mode to 'Parallel'
Why wrong: Parallel execution runs steps concurrently but does not reuse cached results.
Question 804 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 company uses SageMaker Pipelines to automate their ML workflow. They notice that the pipeline reruns all steps even when the input data has not changed. Which feature should they enable to avoid unnecessary recomputation?
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
✓
Enable pipeline caching
Pipeline caching in SageMaker Pipelines automatically reuses the output of a step if its inputs (including parameters, data, and code) have not changed since the last successful execution. This avoids recomputation by comparing a hash of the step's dependencies against previous runs, making it the correct feature to prevent unnecessary reruns when input data remains identical.
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.
- ✓
Enable pipeline caching
Why this is correct
Caching stores step outputs and reuses them when inputs are identical, preventing unnecessary reruns.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a Lambda step to check input changes
Why it's wrong here
While possible, this is a custom workaround; caching is the built-in feature designed for this purpose.
- ✗
Use a Conditional step to skip steps
Why it's wrong here
Conditional steps are for branching logic, not for avoiding recomputation of unchanged steps.
- ✗
Set the pipeline execution mode to 'Parallel'
Why it's wrong here
Parallel execution runs steps concurrently but does not reuse cached results.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse caching with conditional branching or parallel execution, assuming that skipping steps via conditions or running steps in parallel will avoid recomputation, when in fact only caching directly reuses prior outputs based on input immutability.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Pipelines caching computes a hash of the step's input data, parameters, and source code (including the container image). If the hash matches a previous successful run, the step is skipped and the previous output artifacts are reused. This is particularly useful in iterative development or retraining scenarios where only a subset of steps (e.g., data preprocessing) may have changed, but the model training step remains identical. Note that caching is disabled by default and must be explicitly enabled per step or globally in the pipeline definition.
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: Enable pipeline caching — Pipeline caching in SageMaker Pipelines automatically reuses the output of a step if its inputs (including parameters, data, and code) have not changed since the last successful execution. This avoids recomputation by comparing a hash of the step's dependencies against previous runs, making it the correct feature to prevent unnecessary reruns when input data remains identical.
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: 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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