- A
dsl.ParallelFor
dsl.ParallelFor iterates over items and runs tasks in parallel.
- B
dsl.Collected
dsl.Collected creates a list parameter from the outputs of a parallel loop.
- C
dsl.If
Why wrong: dsl.If is for conditional execution, not looping.
- D
dsl.ExitHandler
Why wrong: Exit handler runs after pipeline completion, not for loops.
- E
dsl.importer
Why wrong: Importer imports existing artifacts, not for loops.
Question 151 of 1,000
PMLE Automating and Orchestrating ML Pipelines Practice Question
This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 is designing a Vertex AI pipeline that includes a loop over a list of hyperparameter sets. They want to run training jobs in parallel for each hyperparameter set and then collect the results for comparison. Which two Kubeflow Pipelines SDK v2 features should they use? (Choose 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
✓
dsl.ParallelFor
Option A is correct because `dsl.ParallelFor` is the Kubeflow Pipelines SDK v2 feature that enables iterating over a list of hyperparameter sets and executing the training tasks in parallel. This directly supports the team's requirement to run multiple training jobs concurrently for each hyperparameter configuration.
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.
- ✓
dsl.ParallelFor
Why this is correct
dsl.ParallelFor iterates over items and runs tasks in parallel.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
dsl.Collected
Why this is correct
dsl.Collected creates a list parameter from the outputs of a parallel loop.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
dsl.If
Why it's wrong here
dsl.If is for conditional execution, not looping.
- ✗
dsl.ExitHandler
Why it's wrong here
Exit handler runs after pipeline completion, not for loops.
- ✗
dsl.importer
Why it's wrong here
Importer imports existing artifacts, not for loops.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse `dsl.ParallelFor` with `dsl.If` for conditional logic, or mistakenly think `dsl.importer` can handle result collection, when in fact only `dsl.ParallelFor` and `dsl.Collected` together provide the parallel iteration and result aggregation needed for this use case.
Detailed technical explanation
How to think about this question
Under the hood, `dsl.ParallelFor` creates a fan-out pattern in the pipeline DAG, where each iteration generates a separate task instance that can run on independent compute resources. The `dsl.Collected` feature then aggregates the outputs from these parallel tasks into a single list, which is essential for comparing results across hyperparameter sets. In real-world scenarios, this pattern is commonly used for hyperparameter tuning or cross-validation where each fold or parameter set must be evaluated independently before comparison.
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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Automating and Orchestrating ML Pipelines — study guide chapter
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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: dsl.ParallelFor — Option A is correct because `dsl.ParallelFor` is the Kubeflow Pipelines SDK v2 feature that enables iterating over a list of hyperparameter sets and executing the training tasks in parallel. This directly supports the team's requirement to run multiple training jobs concurrently for each hyperparameter configuration.
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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