- A
Use Dataflow with Kafka IO instead of Dataproc.
Why wrong: The question specifically asks about migrating Kafka to Dataproc, not replacing it with Dataflow.
- B
Use Dataproc with local SSDs for better performance, and enable autoscaling.
Why wrong: Local SSDs are ephemeral; if the instance terminates, data is lost. Kafka brokers require persistent storage unless replication is very high.
- C
Use Dataproc with preemptible workers to reduce cost, and attach standard persistent disks.
Why wrong: Preemptible workers are not recommended for stateful streaming workloads like Kafka because they can be terminated at any time, causing data loss or rebalancing.
- D
Use Dataproc with non-preemptible workers and persistent SSD storage for brokers.
Non-preemptible workers provide stability for Kafka brokers, and SSDs offer low latency for high-throughput streaming.
PDE Ingesting and Processing the Data Practice Question
This PDE practice question tests your understanding of ingesting and processing the data. 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 migrating an existing Kafka cluster to Google Cloud using Dataproc. The cluster handles high-throughput streaming data with strict ordering requirements per partition. Which choice of Dataproc configuration 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
Use Dataproc with non-preemptible workers and persistent SSD storage for brokers.
Option D is correct because Kafka brokers in a Dataproc cluster require persistent, non-preemptible workers to maintain data durability and strict ordering per partition. Preemptible workers can be terminated at any time, causing data loss or rebalancing that violates ordering guarantees. Persistent SSD storage provides the low-latency I/O needed for high-throughput Kafka workloads, while non-preemptible instances ensure broker stability and consistent replication.
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 Dataflow with Kafka IO instead of Dataproc.
Why it's wrong here
The question specifically asks about migrating Kafka to Dataproc, not replacing it with Dataflow.
- ✗
Use Dataproc with local SSDs for better performance, and enable autoscaling.
Why it's wrong here
Local SSDs are ephemeral; if the instance terminates, data is lost. Kafka brokers require persistent storage unless replication is very high.
- ✗
Use Dataproc with preemptible workers to reduce cost, and attach standard persistent disks.
Why it's wrong here
Preemptible workers are not recommended for stateful streaming workloads like Kafka because they can be terminated at any time, causing data loss or rebalancing.
- ✓
Use Dataproc with non-preemptible workers and persistent SSD storage for brokers.
Why this is correct
Non-preemptible workers provide stability for Kafka brokers, and SSDs offer low latency for high-throughput streaming.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that preemptible VMs or local SSDs are acceptable for stateful, ordered workloads like Kafka, when in fact they violate durability and ordering guarantees due to ephemeral storage and abrupt termination.
Detailed technical explanation
How to think about this question
Kafka's ordering guarantee per partition relies on a single leader broker handling all writes for that partition; if a broker is preempted, the partition leader must be re-elected, and in-flight messages may be lost or duplicated. Persistent SSDs in Dataproc provide consistent sub-millisecond latency and survive instance restarts, unlike local SSDs which are tied to the VM lifecycle. For high-throughput streaming, the Dataproc cluster should use non-preemptible workers with persistent SSD storage to ensure Kafka's replication and acknowledgment protocols (acks=all) operate without interruption.
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 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: Use Dataproc with non-preemptible workers and persistent SSD storage for brokers. — Option D is correct because Kafka brokers in a Dataproc cluster require persistent, non-preemptible workers to maintain data durability and strict ordering per partition. Preemptible workers can be terminated at any time, causing data loss or rebalancing that violates ordering guarantees. Persistent SSD storage provides the low-latency I/O needed for high-throughput Kafka workloads, while non-preemptible instances ensure broker stability and consistent replication.
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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