PDE Ingesting and Processing the Data Practice Question
A company is migrating on-premises Apache Kafka workloads to Google Cloud. They want to minimize changes to existing producer and consumer applications while leveraging managed services. Which TWO services should they consider? (Choose 2)
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
✓
Dataproc with Apache Kafka
Kafka on Dataproc provides a managed Kafka cluster that is fully compatible, minimizing application changes. Confluent Cloud on Google Cloud can be used but is not a Google-managed service; however, it is a viable partner solution. Pub/Sub is not Kafka API-compatible. Dataflow is not a replacement for Kafka. BigQuery is a data warehouse, not a streaming broker.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
BigQuery
Why it's wrong here
BigQuery is a data warehouse, not a streaming broker.
- ✗
Cloud Pub/Sub
Why it's wrong here
Pub/Sub uses a different API and would require rewriting producers/consumers.
- ✓
Dataproc with Apache Kafka
Why this is correct
Managed Kafka cluster on Dataproc; compatible with existing applications.
- ✓
Confluent Cloud on Google Cloud
Why this is correct
Fully managed Kafka service with Kafka API compatibility; available on Google Cloud Marketplace.
- ✗
Cloud Dataflow
Why it's wrong here
Dataflow is a stream/batch processing service, not a Kafka broker replacement.
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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.