- A
Make the component idempotent by checking for existing output before processing.
Correct: Idempotency ensures that if a retry occurs, it doesn't cause duplicate work.
- B
Increase the component's timeout setting.
Correct: Larger files may need more time; increasing timeout prevents premature failures.
- C
Reduce the size of the file being downloaded.
Why wrong: Reducing file size may help but is not a reliability practice; also may not be feasible.
- D
Implement retries with exponential backoff in the component.
Correct: Retries handle transient network issues.
- E
Increase the machine type for the component.
Why wrong: Machine type affects compute resources, not network timeout; not directly related.
Question 339 of 1,000
PMLE Automating and Orchestrating ML Pipelines Practice Question
This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 runs a Vertex AI pipeline that uses a container component to preprocess data. The component downloads a large file from a public URL and saves the output to Cloud Storage. The pipeline fails intermittently with a 'timeout' error. Which THREE steps should the team take to improve reliability? (Choose three.)
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
✓
Make the component idempotent by checking for existing output before processing.
Option A is correct because making the component idempotent by checking for existing output before processing prevents redundant work and avoids timeout failures when the file has already been downloaded. In Vertex AI pipelines, idempotent components can safely skip processing if the output already exists in Cloud Storage, reducing the risk of hitting timeout limits on subsequent pipeline runs.
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.
- ✓
Make the component idempotent by checking for existing output before processing.
Why this is correct
Correct: Idempotency ensures that if a retry occurs, it doesn't cause duplicate work.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Increase the component's timeout setting.
Why this is correct
Correct: Larger files may need more time; increasing timeout prevents premature failures.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reduce the size of the file being downloaded.
Why it's wrong here
Reducing file size may help but is not a reliability practice; also may not be feasible.
- ✓
Implement retries with exponential backoff in the component.
Why this is correct
Correct: Retries handle transient network issues.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the machine type for the component.
Why it's wrong here
Machine type affects compute resources, not network timeout; not directly related.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between fixing the symptom (increasing timeout) and addressing the root cause (idempotency and retries), leading candidates to overlook that idempotency and retries together with a reasonable timeout form the most robust solution.
Detailed technical explanation
How to think about this question
Vertex AI pipeline components have a default timeout of 600 seconds (10 minutes) for custom container components. When downloading large files from public URLs, network throughput, DNS resolution, and server-side throttling can cause the operation to exceed this limit. Implementing retries with exponential backoff (Option D) is a standard resilience pattern that handles transient network failures, while increasing the timeout (Option B) accommodates legitimate longer download times. Idempotency (Option A) ensures that if a previous attempt partially succeeded and saved output, the component does not re-download, saving time and avoiding repeated timeouts.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Make the component idempotent by checking for existing output before processing. — Option A is correct because making the component idempotent by checking for existing output before processing prevents redundant work and avoids timeout failures when the file has already been downloaded. In Vertex AI pipelines, idempotent components can safely skip processing if the output already exists in Cloud Storage, reducing the risk of hitting timeout limits on subsequent pipeline runs.
What should I do if I get this PMLE 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 PMLE practice question is part of Courseiva's free Google Cloud 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 PMLE exam.
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