- A
dsl.ParallelFor
This creates a parallel loop over a list parameter.
- B
dsl.PipelineParam
Why wrong: PipelineParam is a base class for parameters, not for parallel constructs.
- C
dsl.Collected
dsl.Collected gathers outputs from parallel loop iterations into a list.
- D
dsl.Condition
Why wrong: dsl.Condition does not exist; conditional branching uses dsl.If.
- E
dsl.ExitHandler
Why wrong: ExitHandler runs cleanup code when a pipeline exits, not for parallel processing.
Question 569 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.
An ML pipeline must run a set of preprocessing tasks for each data shard in parallel. Which KFP SDK features should they use to implement this? (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 (dsl.ParallelFor) is correct because it allows you to iterate over a list of items (e.g., data shard identifiers) and execute a set of tasks for each item in parallel within a KFP pipeline. Option C (dsl.Collected) is correct because it collects the outputs from each parallel iteration of a dsl.ParallelFor loop into a single list, enabling downstream tasks to consume all shard results as a single artifact or parameter.
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
This creates a parallel loop over a list parameter.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
dsl.PipelineParam
Why it's wrong here
PipelineParam is a base class for parameters, not for parallel constructs.
- ✓
dsl.Collected
Why this is correct
dsl.Collected gathers outputs from parallel loop iterations into a list.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
dsl.Condition
Why it's wrong here
dsl.Condition does not exist; conditional branching uses dsl.If.
- ✗
dsl.ExitHandler
Why it's wrong here
ExitHandler runs cleanup code when a pipeline exits, not for parallel processing.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between parallel iteration (dsl.ParallelFor + dsl.Collected) and sequential iteration or conditional logic, so candidates mistakenly pick dsl.Condition or dsl.PipelineParam when they see 'for each shard' and think of parameters or branching.
Detailed technical explanation
How to think about this question
Under the hood, dsl.ParallelFor creates a separate KFP task group for each iteration, each with its own set of pods, enabling true parallel execution on Kubernetes. The dsl.Collected object is a special KFP type that aggregates outputs from all loop iterations into a single JSON array, which can then be passed to a downstream component that expects a list. A real-world scenario: processing 1000 shards of a dataset in parallel, where each shard runs a feature engineering component, and dsl.Collected gathers all feature statistics for a final aggregation step.
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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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 (dsl.ParallelFor) is correct because it allows you to iterate over a list of items (e.g., data shard identifiers) and execute a set of tasks for each item in parallel within a KFP pipeline. Option C (dsl.Collected) is correct because it collects the outputs from each parallel iteration of a dsl.ParallelFor loop into a single list, enabling downstream tasks to consume all shard results as a single artifact or parameter.
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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