- A
dsl.Metrics
Why wrong: dsl.Metrics is for outputting metric artifacts.
- B
dsl.If
Why wrong: dsl.If is for conditional execution.
- C
dsl.ParallelFor
Why wrong: dsl.ParallelFor is not a valid KFP SDK v2 construct.
- D
dsl.Collected
dsl.Collected creates a parallel for-loop, executing tasks in parallel for each item in a list.
Question 651 of 1,000
PMLE Automating and Orchestrating ML Pipelines 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. 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.
You are developing a Vertex AI pipeline that runs multiple parallel training jobs with different hyperparameters, then collects their results and selects the best model. Which KFP SDK v2 construct should you use to run the parallel training tasks?
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.Collected
In KFP SDK v2, `dsl.Collected` is used to gather the outputs of parallel tasks (e.g., training jobs with different hyperparameters) into a single list, which can then be passed to a downstream task for aggregation or selection. This construct enables the pipeline to collect results from multiple parallel branches and use them in a subsequent component, such as a model selector.
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.Metrics
Why it's wrong here
dsl.Metrics is for outputting metric artifacts.
- ✗
dsl.If
Why it's wrong here
dsl.If is for conditional execution.
- ✗
dsl.ParallelFor
Why it's wrong here
dsl.ParallelFor is not a valid KFP SDK v2 construct.
- ✓
dsl.Collected
Why this is correct
dsl.Collected creates a parallel for-loop, executing tasks in parallel for each item in a list.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between `dsl.ParallelFor` (which controls the parallel execution) and `dsl.Collected` (which gathers the outputs), leading candidates to mistakenly choose `dsl.ParallelFor` when the question asks about collecting results.
Trap categories for this question
Command / output trap
dsl.Metrics is for outputting metric artifacts.
Detailed technical explanation
How to think about this question
Under the hood, `dsl.Collected` creates a list-type artifact that aggregates the outputs of multiple parallel tasks, which is essential for hyperparameter tuning workflows where each parallel job produces a model artifact. A subtle behavior is that `dsl.Collected` only works with tasks that are executed within a `dsl.ParallelFor` loop, and the collected list preserves the order of the iteration. In a real-world scenario, you might use `dsl.ParallelFor` to launch 10 training jobs with different learning rates, then `dsl.Collected` to gather their resulting model artifacts into a list, and finally pass that list to a 'best model selector' component that compares metrics.
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.
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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.Collected — In KFP SDK v2, `dsl.Collected` is used to gather the outputs of parallel tasks (e.g., training jobs with different hyperparameters) into a single list, which can then be passed to a downstream task for aggregation or selection. This construct enables the pipeline to collect results from multiple parallel branches and use them in a subsequent component, such as a model selector.
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.
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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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