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Google Professional Data Engineer Exam - Topic 4 Question 123 Discussion

You are designing a data processing pipeline. The pipeline must be able to scale automatically as load increases. Messages must be processed at least once, and must be ordered within windows of 1 hour. How should you design the solution?
D) Use Cloud Pub/Sub for message ingestion and Cloud Dataflow for streaming analysis.
A) Use Apache Kafka for message ingestion and use Cloud Dataproc for streaming analysis.
B) Use Apache Kafka for message ingestion and use Cloud Dataflow for streaming analysis.
C) Use Cloud Pub/Sub for message ingestion and Cloud Dataproc for streaming analysis.

Google Professional Data Engineer Exam - Topic 4 Question 123 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 123
Topic #: 4
[All Professional Data Engineer Questions]

You are designing a data processing pipeline. The pipeline must be able to scale automatically as load increases. Messages must be processed at least once, and must be ordered within windows of 1 hour. How should you design the solution?

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Suggested Answer: D

by Samira at May 28, 2026, 01:16 AM

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Melissa
4 days ago
I’m leaning towards D. Pub/Sub is great for ingestion.
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Miss
9 days ago
I agree, B seems solid. Dataflow scales automatically.
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Tyra
14 days ago
I think option B is the best choice. Kafka handles the load well.
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Tiffiny
19 days ago
B is the best choice for scalability and processing guarantees!
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Trinidad
24 days ago
Wait, can Pub/Sub really guarantee message ordering? Sounds sketchy.
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Bethanie
29 days ago
A is interesting, but I prefer Dataflow for its auto-scaling features.
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Krissy
1 month ago
I think D could work too, but not sure about Pub/Sub for ordering.
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Martina
1 month ago
Definitely B! Kafka and Dataflow are a solid combo for streaming.
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Arthur
1 month ago
I lean towards option D because Cloud Pub/Sub is known for its scalability, but I'm a bit uncertain about how it handles message ordering compared to Kafka.
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Youlanda
2 months ago
I feel like we practiced a similar question where we had to choose between Pub/Sub and Kafka, but I can't recall the exact advantages of each.
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Mauricio
2 months ago
I think Cloud Dataflow is designed for stream processing and can scale automatically, which might make option B or D the best choices.
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Karon
2 months ago
I remember we discussed Kafka and its ability to handle high throughput, but I'm not sure if it guarantees message ordering within the specified windows.
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