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Automating and Orchestrating ML Pipelines →mediumMultiple ChoiceObjective-mapped

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 data science team wants to build a Vertex AI pipeline that trains a model, evaluates it, and conditionally deploys it if the accuracy exceeds 0.9. They want to use the Kubeflow Pipelines SDK v2. Which construct allows them to conditionally execute the deployment step based on the evaluation metric?

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

In Kubeflow Pipelines SDK v2, `dsl.If` is the correct construct for conditionally executing pipeline steps based on runtime metrics or parameters. It allows you to define a condition that, when evaluated to true, triggers the deployment step only if the model accuracy exceeds 0.9. This is the standard way to implement branching logic in v2 pipelines.

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.If

    Why this is correct

    dsl.If is the correct construct for conditional execution in KFP v2.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    dsl.Conditional

    Why it's wrong here

    dsl.Conditional is not a valid construct in KFP SDK v2.

  • ✗

    dsl.ExitHandler

    Why it's wrong here

    dsl.ExitHandler is used for cleanup actions regardless of success/failure.

  • ✗

    dsl.Collected

    Why it's wrong here

    dsl.Collected is used for parallel loops, not conditional branching.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Candidates often confuse `dsl.If` with `dsl.Conditional`, but in Kubeflow Pipelines SDK v2 for Vertex AI, `dsl.If` is the correct construct for conditional execution based on runtime metrics.

Detailed technical explanation

How to think about this question

Under the hood, `dsl.If` compiles into an Argo Workflows template with a `when` condition that checks the evaluated metric against the threshold. The condition expression must be a valid Python comparison (e.g., `accuracy > 0.9`) and the metric must be passed as a pipeline parameter or output. In real-world scenarios, this enables automated model promotion pipelines where only high-performing models are deployed to production, reducing manual intervention.

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.If — In Kubeflow Pipelines SDK v2, `dsl.If` is the correct construct for conditionally executing pipeline steps based on runtime metrics or parameters. It allows you to define a condition that, when evaluated to true, triggers the deployment step only if the model accuracy exceeds 0.9. This is the standard way to implement branching logic in v2 pipelines.

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

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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.