Google Exam Professional Cloud Database Engineer Topic 10 Question 14 Discussion

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

Question #: 14
Topic #: 10

[All Professional Cloud Database Engineer Questions]

You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

AUse Cloud SQL with read replicas for throughput.

BUse Firestore, and rely on automatic serverless scaling.

CUse Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.

DUse Bigtable, and add nodes as necessary to achieve the required throughput.

Show Suggested Answer

Suggested Answer: C

by Willard at Feb 07, 2023, 03:45 AM

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Kristofer

9 days ago

Hmm, I think option D is the way to go. Bigtable can handle massive amounts of data and scale up to millions of requests per second. Plus, it's designed for time-series data like IoT sensor data.

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