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Google Professional Data Engineer Exam - Topic 1 Question 9 Discussion

Your company is selecting a system to centralize data ingestion and delivery. You are considering messaging and data integration systems to address the requirements. The key requirements are:The ability to seek to a particular offset in a topic, possibly back to the start of all data ever capturedSupport for publish/subscribe semantics on hundreds of topicsRetain per-key orderingWhich system should you choose?
A) Apache Kafka
B) Cloud Storage
C) Cloud Pub/Sub
D) Firebase Cloud Messaging

Google Professional Data Engineer Exam - Topic 1 Question 9 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 9
Topic #: 1
[All Professional Data Engineer Questions]

Your company is selecting a system to centralize data ingestion and delivery. You are considering messaging and data integration systems to address the requirements. The key requirements are:

The ability to seek to a particular offset in a topic, possibly back to the start of all data ever captured

Support for publish/subscribe semantics on hundreds of topics

Retain per-key ordering

Which system should you choose?

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Suggested Answer: A

by Cheryl at May 05, 2022, 05:02 AM

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Eun
10 months ago
Per-key ordering is crucial, so Kafka is the clear winner here.
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Reita
10 months ago
Wait, can Kafka really handle that many topics? Sounds a bit much!
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Felix
11 months ago
Cloud Storage? No way, it doesn’t fit the requirements at all.
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Adela
11 months ago
I disagree, Cloud Pub/Sub could work too, especially for scalability.
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Noel
11 months ago
Definitely Apache Kafka for this! It checks all the boxes.
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Ruth
11 months ago
Firebase Cloud Messaging seems more focused on mobile notifications, so I doubt it would meet our data ingestion needs.
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Juan
11 months ago
I practiced a similar question, and I think the key requirement for per-key ordering really points towards Kafka, but I need to double-check that.
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Keith
11 months ago
I'm not entirely sure, but I think Cloud Pub/Sub might not retain messages as long as Kafka does, especially for seeking back to the start.
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Narcisa
11 months ago
I remember that Kafka is great for handling large volumes of data and supports seeking to specific offsets, which seems to fit our needs.
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Xochitl
11 months ago
This seems like a straightforward question about the benefits of virtual client operating systems. I'll focus on understanding how the isolation between virtual machines can prevent virus infections from spreading.
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Cathrine
11 months ago
I think the purpose of the Wrap-up code mappings is to associate some behavior with the wrap-up code, like callback time. That seems like the most logical answer to me.
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Page
11 months ago
This question seems straightforward, but I want to make sure I understand the timeframe correctly. I'll need to review the regulations on reporting lost or missing securities.
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