- A
Change the pipeline to use batch mode instead of streaming
Why wrong: Batch mode does not address real-time processing requirements and may increase latency.
- B
Switch to Dataflow Prime to enable vertical autoscaling and right-fitting
Dataflow Prime automatically adjusts resources for optimal performance under varying loads.
- C
Use a larger machine type for all workers
Why wrong: Uniform machine type may waste resources during low load and still fail under high load.
- D
Increase the number of workers manually in the pipeline configuration
Why wrong: Manual scaling is not as responsive and may not handle load spikes efficiently.
Question 282 of 1,000
PDE Dataflow Prime Practice Question
This PDE practice question tests your understanding of ingesting and processing the data. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: dataflow Prime. 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 company runs a Dataflow pipeline that reads from Pub/Sub, transforms data, and writes to BigQuery. The pipeline uses classic templates and is deployed in batch mode. They notice that the pipeline does not scale well under high load, causing a backlog in Pub/Sub. Which improvement would BEST address the scaling issue?
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
✓
Switch to Dataflow Prime to enable vertical autoscaling and right-fitting
Dataflow Prime provides vertical autoscaling and right-fitting, automatically adjusting resources to handle variable loads, which is ideal for scaling batch pipelines under high load.
Key principle: Dataflow Prime
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the pipeline to use batch mode instead of streaming
Why it's wrong here
Batch mode does not address real-time processing requirements and may increase latency.
- ✓
Switch to Dataflow Prime to enable vertical autoscaling and right-fitting
Why this is correct
Dataflow Prime automatically adjusts resources for optimal performance under varying loads.
Related concept
Dataflow Prime
- ✗
Use a larger machine type for all workers
Why it's wrong here
Uniform machine type may waste resources during low load and still fail under high load.
- ✗
Increase the number of workers manually in the pipeline configuration
Why it's wrong here
Manual scaling is not as responsive and may not handle load spikes efficiently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Dataflow Prime
- Vertical autoscaling
- Right-fitting
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
Dataflow Prime
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Review dataflow Prime, then practise related PDE questions on the same topic to reinforce the concept.
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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 — Dataflow Prime.
What is the correct answer to this question?
The correct answer is: Switch to Dataflow Prime to enable vertical autoscaling and right-fitting — Dataflow Prime provides vertical autoscaling and right-fitting, automatically adjusting resources to handle variable loads, which is ideal for scaling batch pipelines under high load.
What should I do if I get this PDE question wrong?
Review dataflow Prime, then practise related PDE questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Dataflow Prime
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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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