Google Exam Professional Cloud Database Engineer Topic 13 Question 31 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam

Question #: 31
Topic #: 13

[All Professional Cloud Database Engineer Questions]

Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

AUse Cloud SQL for data storage.

BUse Cloud Spanner for data storage.

CUse Memorystore for data storage.

DUse Bigtable for data storage.

Show Suggested Answer

Suggested Answer: D

by Marge at May 03, 2024, 03:22 AM

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Joseph

6 days ago

Hold up, did someone say 'low latency writes'? I'm sold on Cloud Spanner already! That's like music to my ears. *starts dancing*

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Ria

9 days ago

Cloud SQL could work, but it might struggle to handle the high write throughput and low latency requirements. I'd go with Cloud Spanner for this use case.

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Yuki

13 days ago

I'm not sure Memorystore is the best fit since it's primarily an in-memory data store. Cloud Bigtable could work, but it might be overkill for a shopping cart service.

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Willodean

25 days ago

I'm not sure, but Cloud Spanner does sound like the best option for our requirements.

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Sylvie

26 days ago

Cloud Spanner seems like the obvious choice here. It's designed for global, mission-critical applications and provides the high availability and low latency writes we need.

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