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Google Exam Professional Cloud Developer Topic 8 Question 90 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 90
Topic #: 8
[All Professional Cloud Developer Questions]

For this question refer to the HipLocal case study.

HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Kina
3 days ago
I'm not sure about Bigtable or Firestore for this use case. They're more for non-relational data, right? I think the Kubernetes Engine option could work, but it might be overkill for just improving database latency.
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Paris
7 days ago
Cloud Spanner seems like the best choice here. It's a fully managed relational database service with built-in global replication and low latency. Definitely worth considering.
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Charlene
12 days ago
I see both points, but I think option C might be a good compromise as Firestore in Datastore mode can also handle global traffic effectively.
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Estrella
16 days ago
I disagree, I believe option D is the way to go as using Google Kubernetes Engine can help with scaling the application efficiently.
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Cary
17 days ago
I think option B is the best choice because Cloud Spanner is designed for global scalability.
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