- A
Ensure the component is deterministic and that caching is not disabled for that component.
Why wrong: While ensuring determinism and checking caching settings can help, it is a more manual approach. The question asks what they should do; using a pre-built component is a more direct solution.
- B
Enable pipeline caching by setting 'enable_caching=True' on the pipeline decorator.
Why wrong: Incorrect because 'enable_caching=True' is not the correct API; caching is enabled by default and controlled per task.
- C
Use a pre-built Google Cloud Pipeline Component for file download.
Correct. Pre-built components are deterministic and caching is enabled by default, avoiding unnecessary re-execution.
- D
Use the 'dsl.CachingOptions' to set a custom cache key for the component.
Why wrong: Unnecessary; custom cache keys are not required if the default caching mechanism works properly.
PMLE Vertex AI Pipeline Caching Practice Question
This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: vertex AI Pipeline Caching. 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 runs a Vertex AI pipeline daily. They notice that a component that downloads a file from a public URL always executes even when the URL and parameters haven't changed. They want to avoid unnecessary re-execution and reduce costs. What should they do?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"always"Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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
Use a pre-built Google Cloud Pipeline Component for file download.
Using a pre-built Google Cloud Pipeline Component for file download ensures the component is deterministic and has caching enabled by default, which prevents unnecessary re-execution when inputs haven't changed. Option A is a valid approach but less direct; ensuring determinism and checking caching settings is generic advice, whereas using a pre-built component immediately resolves both issues. Option B is incorrect because 'enable_caching=True' is not a valid parameter on the pipeline decorator. Option D is unnecessary because custom cache keys are not needed if the default caching works.
Key principle: Vertex AI Pipeline Caching
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ensure the component is deterministic and that caching is not disabled for that component.
Why it's wrong here
While ensuring determinism and checking caching settings can help, it is a more manual approach. The question asks what they should do; using a pre-built component is a more direct solution.
- ✗
Enable pipeline caching by setting 'enable_caching=True' on the pipeline decorator.
Why it's wrong here
Incorrect because 'enable_caching=True' is not the correct API; caching is enabled by default and controlled per task.
- ✓
Use a pre-built Google Cloud Pipeline Component for file download.
Why this is correct
Correct. Pre-built components are deterministic and caching is enabled by default, avoiding unnecessary re-execution.
Clue confirmation
The clue word "always" in the question point toward this answer.
Related concept
Vertex AI Pipeline Caching
- ✗
Use the 'dsl.CachingOptions' to set a custom cache key for the component.
Why it's wrong here
Unnecessary; custom cache keys are not required if the default caching mechanism works properly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Vertex AI Pipeline Caching
- Pre-built Components
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
Vertex AI Pipeline Caching
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Visual reference
What to study next
Got this wrong? Here's your next step.
Review vertex AI Pipeline Caching, then practise related PMLE questions on the same topic to reinforce the concept.
- →
Automating and Orchestrating ML Pipelines — study guide chapter
Learn the concepts, then practise the questions
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FAQ
Questions learners often ask
What does this PMLE question test?
Automating and Orchestrating ML Pipelines — This question tests Automating and Orchestrating ML Pipelines — Vertex AI Pipeline Caching.
What is the correct answer to this question?
The correct answer is: Use a pre-built Google Cloud Pipeline Component for file download. — Using a pre-built Google Cloud Pipeline Component for file download ensures the component is deterministic and has caching enabled by default, which prevents unnecessary re-execution when inputs haven't changed. Option A is a valid approach but less direct; ensuring determinism and checking caching settings is generic advice, whereas using a pre-built component immediately resolves both issues. Option B is incorrect because 'enable_caching=True' is not a valid parameter on the pipeline decorator. Option D is unnecessary because custom cache keys are not needed if the default caching works.
What should I do if I get this PMLE question wrong?
Review vertex AI Pipeline Caching, then practise related PMLE questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "always". Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
What is the key concept behind this question?
Vertex AI Pipeline Caching
About these practice questions
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Last reviewed: Jul 4, 2026
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