- A
dsl.ParallelFor
Why wrong: dsl.ParallelFor is for creating parallel loops, not conditional branching.
- B
Using a Python if statement inside the component
Why wrong: Conditional logic must be defined at the pipeline level, not inside a component.
- C
dsl.If
dsl.If creates a conditional branch in the pipeline based on a condition.
- D
dsl.Condition
Why wrong: There is no dsl.Condition in KFP SDK v2; the correct feature is dsl.If.
Question 206 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.
A machine learning pipeline includes a conditional branch: if model accuracy exceeds 0.95, deploy to production; otherwise, send a notification. Which KFP SDK feature allows implementing this logic within the pipeline definition?
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.If
C is correct because KFP SDK's `dsl.If` is the native construct for implementing conditional branching within a pipeline definition, allowing you to conditionally execute a task (like deploying to production) based on the output of a previous component (e.g., model accuracy > 0.95). It works by creating a `Condition` object that wraps the downstream tasks, ensuring the pipeline DAG is correctly compiled and executed only when the condition evaluates to true.
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 it's wrong here
dsl.ParallelFor is for creating parallel loops, not conditional branching.
- ✗
Using a Python if statement inside the component
Why it's wrong here
Conditional logic must be defined at the pipeline level, not inside a component.
- ✓
dsl.If
Why this is correct
dsl.If creates a conditional branch in the pipeline based on a condition.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
dsl.Condition
Why it's wrong here
There is no dsl.Condition in KFP SDK v2; the correct feature is dsl.If.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between `dsl.If` and `dsl.Condition` (which does not exist) to catch candidates who confuse the KFP API with generic programming concepts or other frameworks like Apache Airflow.
Detailed technical explanation
How to think about this question
Under the hood, `dsl.If` creates a `Condition` object that tracks the condition expression and the tasks within its context. When the pipeline is compiled, KFP generates a DAG with a conditional branch that is evaluated at runtime by the KFP backend, which uses Argo Workflows' `when` field to skip tasks if the condition is false. A subtle behavior is that the condition expression must be a `Comparison` or `Conjunction` of `PipelineParam` objects, and you cannot use arbitrary Python expressions—this is a common source of errors.
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: dsl.If — C is correct because KFP SDK's `dsl.If` is the native construct for implementing conditional branching within a pipeline definition, allowing you to conditionally execute a task (like deploying to production) based on the output of a previous component (e.g., model accuracy > 0.95). It works by creating a `Condition` object that wraps the downstream tasks, ensuring the pipeline DAG is correctly compiled and executed only when the condition evaluates to true.
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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