- A
Classic Template
Why wrong: Classic Templates require compiled Java code and are less flexible.
- B
Flex Template
Flex Templates support any SDK (including Python) and allow runtime parameters.
- C
Direct pipeline submission with gcloud dataflow jobs run
Why wrong: Not reusable; requires manual submission each time.
- D
Cloud Composer to trigger Dataflow jobs
Why wrong: Orchestration is separate; Flex Template is the deployment method.
Question 848 of 1,000
PDE Ingesting and Processing the Data Practice Question
This PDE practice question tests your understanding of ingesting and processing the data. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 needs to create a Dataflow pipeline that reads from Pub/Sub, applies a Python transformation, and writes to BigQuery. The pipeline should be reusable across environments with different parameters. Which deployment method is most appropriate?
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
✓
Flex Template
Flex Templates (Option B) are the most appropriate deployment method because they allow you to package a custom Docker image containing your Python transformation code and dependencies, making the pipeline reusable across environments with different runtime parameters. Unlike Classic Templates, Flex Templates support arbitrary pipeline code and can be parameterized at runtime via the Dataflow UI or API, which is essential for a multi-environment deployment strategy.
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.
- ✗
Classic Template
Why it's wrong here
Classic Templates require compiled Java code and are less flexible.
- ✓
Flex Template
Why this is correct
Flex Templates support any SDK (including Python) and allow runtime parameters.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Direct pipeline submission with gcloud dataflow jobs run
Why it's wrong here
Not reusable; requires manual submission each time.
- ✗
Cloud Composer to trigger Dataflow jobs
Why it's wrong here
Orchestration is separate; Flex Template is the deployment method.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Classic Templates with Flex Templates, assuming both support custom code, but Classic Templates are limited to Google-provided templates and cannot run arbitrary Python transformations, making Flex Templates the only correct choice for custom, reusable pipelines.
Detailed technical explanation
How to think about this question
Flex Templates work by building a Docker image that contains the pipeline code and all dependencies, which is then stored in Artifact Registry or Container Registry. When the template is launched, the Dataflow service pulls the image and runs the pipeline with the provided runtime parameters, allowing environment-specific values (e.g., project ID, dataset, table name) to be injected without modifying the code. This approach also supports dynamic parameter validation and default values, which is critical for production pipelines that must adapt to staging, QA, and production environments.
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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Ingesting and Processing the Data — study guide chapter
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FAQ
Questions learners often ask
What does this PDE question test?
Ingesting and Processing the Data — This question tests Ingesting and Processing the Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Flex Template — Flex Templates (Option B) are the most appropriate deployment method because they allow you to package a custom Docker image containing your Python transformation code and dependencies, making the pipeline reusable across environments with different runtime parameters. Unlike Classic Templates, Flex Templates support arbitrary pipeline code and can be parameterized at runtime via the Dataflow UI or API, which is essential for a multi-environment deployment strategy.
What should I do if I get this PDE 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 PDE 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 PDE exam.
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