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Google Professional Data Engineer Exam - Topic 5 Question 108 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 108
Topic #: 5
[All Professional Data Engineer Questions]

You currently have a single on-premises Kafka cluster in a data center in the us-east region that is responsible for ingesting messages from IoT devices globally. Because large parts of globe have poor internet connectivity, messages sometimes batch at the edge, come in all at once, and cause a spike in load on your Kafka cluster. This is becoming difficult to manage and prohibitively expensive. What is the Google-recommended cloud native architecture for this scenario?

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Suggested Answer: C

by Noel at Jun 10, 2025, 05:57 AM

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Elizabeth
6 days ago
I feel like we practiced a similar question about scaling Kafka, but I can't recall if Cloud Dataflow was the main solution we focused on.
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Jesusa
12 days ago
I think Cloud Pub/Sub might be the best option since it can handle spikes in load better than a single Kafka cluster.
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Karina
17 days ago
I remember we discussed how edge computing can help with latency issues, but I'm not sure if Edge TPUs are the right fit here.
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Renay
23 days ago
I think the key here is to leverage Google's cloud-native services to address the scalability and cost challenges. The IoT gateway and Cloud Pub/Sub solution seems like the most appropriate approach to handle the global connectivity issues and the spikes in load.
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Kenny
28 days ago
Okay, I've got this. Based on the scenario, the Google-recommended architecture is an IoT gateway connected to Cloud Pub/Sub, with Cloud Dataflow to read and process the messages from Cloud Pub/Sub. This should help scale the processing and handle the spikes in load.
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Virgie
1 month ago
Hmm, I'm a bit confused. There are a few options here, and I'm not sure which one is the Google-recommended approach. I'll need to carefully read through the details to determine the best solution.
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Amber
1 month ago
This question seems straightforward. I think the key is to identify the Google-recommended cloud native architecture for handling the spikes in load on the on-premises Kafka cluster.
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