- A
Use a batch Dataflow job with preemptible workers.
Why wrong: Batch mode is not real-time streaming.
- B
Use high-memory machine types for all workers to avoid preemption.
Why wrong: High-memory machines do not prevent preemption and are costly.
- C
Use FlexRS with preemptible workers and enable streaming engine.
FlexRS allows preemptible workers with cost savings; Dataflow's checkpointing prevents data loss on preemption.
- D
Use a standard Dataflow job with non-preemptible workers.
Why wrong: Non-preemptible workers are more expensive.
Google PCA Ensure solution and operations reliability Practice Question
This PCA practice question tests your understanding of ensure solution and operations reliability. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You are designing a Dataflow streaming pipeline for real-time event processing. The pipeline must be cost-effective while tolerating worker failures without data loss. Which configuration should you use?
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
Use FlexRS with preemptible workers and enable streaming engine.
Option C is correct because FlexRS (Flexible Resource Scheduling) allows you to use preemptible workers in a streaming pipeline, which significantly reduces cost while the Streaming Engine provides durable state storage and checkpointing to tolerate worker failures without data loss. Preemptible workers are cheaper but can be terminated at any time; the Streaming Engine ensures that pipeline state is preserved and processing can resume seamlessly from the last checkpoint.
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.
- ✗
Use a batch Dataflow job with preemptible workers.
Why it's wrong here
Batch mode is not real-time streaming.
- ✗
Use high-memory machine types for all workers to avoid preemption.
Why it's wrong here
High-memory machines do not prevent preemption and are costly.
- ✓
Use FlexRS with preemptible workers and enable streaming engine.
Why this is correct
FlexRS allows preemptible workers with cost savings; Dataflow's checkpointing prevents data loss on preemption.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a standard Dataflow job with non-preemptible workers.
Why it's wrong here
Non-preemptible workers are more expensive.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that preemptible workers cannot be used in streaming pipelines, or that high-memory instances alone solve reliability, but the key is that FlexRS with Streaming Engine is the only option that combines cost savings with failure tolerance for real-time processing.
Detailed technical explanation
How to think about this question
The Streaming Engine decouples processing from storage by buffering data in a durable, managed service (using Google Cloud Storage and Pub/Sub-like backends), so when a preemptible worker is terminated, the pipeline can be resumed from the last committed checkpoint without reprocessing from the beginning. FlexRS enables Dataflow to schedule preemptible workers in a way that balances cost and reliability, but it requires the Streaming Engine to be enabled for streaming pipelines to maintain exactly-once semantics. In practice, this combination can reduce streaming costs by up to 40% compared to non-preemptible workers while still meeting reliability SLAs.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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 PCA question test?
Ensure solution and operations reliability — This question tests Ensure solution and operations reliability — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use FlexRS with preemptible workers and enable streaming engine. — Option C is correct because FlexRS (Flexible Resource Scheduling) allows you to use preemptible workers in a streaming pipeline, which significantly reduces cost while the Streaming Engine provides durable state storage and checkpointing to tolerate worker failures without data loss. Preemptible workers are cheaper but can be terminated at any time; the Streaming Engine ensures that pipeline state is preserved and processing can resume seamlessly from the last checkpoint.
What should I do if I get this PCA 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: Jun 30, 2026
This PCA 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 PCA exam.
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