- A
Cloud Tasks
Why wrong: Cloud Tasks is for task queuing and distributed execution, not for complex DAG orchestration.
- B
Cloud Composer
Correct: Cloud Composer (Airflow) provides DAG-based orchestration with operators for all mentioned services.
- C
Cloud Scheduler
Why wrong: Cloud Scheduler is for simple cron jobs, not for orchestrating multi-step pipelines with dependencies.
- D
Workflows
Why wrong: Workflows is a serverless orchestration service but has limited integration with Vertex AI and Dataflow compared to Cloud Composer.
Question 507 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 data engineer wants to orchestrate a complex workflow that includes running a Vertex AI pipeline, then a BigQuery job, and finally a Dataflow pipeline. The workflow must handle dependencies, retries, and monitoring. Which Google Cloud service is most suitable for this orchestration?
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
✓
Cloud Composer
Cloud Composer (based on Apache Airflow) is the most suitable service for orchestrating a complex workflow with dependencies, retries, and monitoring across Vertex AI, BigQuery, and Dataflow. It provides a managed Airflow environment that natively supports DAG-based orchestration, built-in retry logic, and integration with Google Cloud services via operators like VertexAIPipelineOperator, BigQueryOperator, and DataflowTemplatedJobStartOperator.
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.
- ✗
Cloud Tasks
Why it's wrong here
Cloud Tasks is for task queuing and distributed execution, not for complex DAG orchestration.
- ✓
Cloud Composer
Why this is correct
Correct: Cloud Composer (Airflow) provides DAG-based orchestration with operators for all mentioned services.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Scheduler
Why it's wrong here
Cloud Scheduler is for simple cron jobs, not for orchestrating multi-step pipelines with dependencies.
- ✗
Workflows
Why it's wrong here
Workflows is a serverless orchestration service but has limited integration with Vertex AI and Dataflow compared to Cloud Composer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that Workflows is sufficient for complex ML orchestration, but it lacks the built-in operator integrations and retry semantics that Cloud Composer provides for multi-service pipelines.
Detailed technical explanation
How to think about this question
Cloud Composer runs Apache Airflow, which uses Directed Acyclic Graphs (DAGs) to define task dependencies and retries via parameters like retries and retry_delay. Under the hood, Airflow's scheduler continuously monitors DAGs and triggers tasks based on state transitions, while Cloud Composer integrates with Cloud Logging and Cloud Monitoring for end-to-end pipeline observability. In a real-world scenario, a data engineer could define a DAG where a Vertex AI training pipeline triggers a BigQuery transformation only after successful completion, with automatic retries on transient failures, and then launches a Dataflow streaming job for real-time inference.
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: Cloud Composer — Cloud Composer (based on Apache Airflow) is the most suitable service for orchestrating a complex workflow with dependencies, retries, and monitoring across Vertex AI, BigQuery, and Dataflow. It provides a managed Airflow environment that natively supports DAG-based orchestration, built-in retry logic, and integration with Google Cloud services via operators like VertexAIPipelineOperator, BigQueryOperator, and DataflowTemplatedJobStartOperator.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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