- A
Enable pipeline caching by setting the CacheConfig property for each step
Caching causes the pipeline to skip steps if inputs and configuration haven't changed, saving time and cost.
- B
Configure the pipeline to run on a schedule instead of on-demand
Why wrong: Scheduling does not affect step redundancy; it still runs all steps each time.
- C
Use the Parameter step to pass previous execution ID
Why wrong: Parameters do not prevent re-execution; they just pass values.
- D
Use Lambda step to check data changes before running
Why wrong: While possible, this is a manual workaround; caching is the native, simpler solution.
Question 705 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 data science team uses SageMaker Pipelines to orchestrate their ML workflow. They noticed that even when source data hasn't changed, the pipeline re-runs all steps, wasting compute time. What should they enable to avoid redundant runs?
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 by setting the CacheConfig property for each step
Option A is correct because SageMaker Pipelines supports step caching via the `CacheConfig` property. When enabled, the pipeline checks if the step's inputs (including source data, parameters, and code) have changed since the last successful run. If no changes are detected, the step is skipped and the previous output is reused, eliminating redundant compute.
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 by setting the CacheConfig property for each step
Why this is correct
Caching causes the pipeline to skip steps if inputs and configuration haven't changed, saving time and cost.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure the pipeline to run on a schedule instead of on-demand
Why it's wrong here
Scheduling does not affect step redundancy; it still runs all steps each time.
- ✗
Use the Parameter step to pass previous execution ID
Why it's wrong here
Parameters do not prevent re-execution; they just pass values.
- ✗
Use Lambda step to check data changes before running
Why it's wrong here
While possible, this is a manual workaround; caching is the native, simpler solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think caching requires external logic (like a Lambda step) or scheduling, when SageMaker Pipelines has a native `CacheConfig` property that directly addresses redundant runs with minimal configuration.
Detailed technical explanation
How to think about this question
Under the hood, `CacheConfig` uses a hash of the step's inputs (including the source data S3 URI, image URI, hyperparameters, and step type) to determine cache validity. The cache is stored per pipeline execution and expires after a configurable TTL (default 24 hours). In real-world scenarios, teams often set a longer TTL for stable data sources but must be cautious: if the data is overwritten in place (same S3 key), the hash may not change, leading to stale outputs — a subtle pitfall.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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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 by setting the CacheConfig property for each step — Option A is correct because SageMaker Pipelines supports step caching via the `CacheConfig` property. When enabled, the pipeline checks if the step's inputs (including source data, parameters, and code) have changed since the last successful run. If no changes are detected, the step is skipped and the previous output is reused, eliminating redundant compute.
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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