Google Associate Cloud Engineer

Google Associate Cloud Engineer

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Your company is in the planning phase for a new large-scale application requiring the storage of over 100 TB or a petabyte of data in NoSQL format, aiming for low-latency read/write operations and high-throughput analytics. Which Google Cloud storage option would best meet these requirements?




Explanation:

The correct answer is B. Cloud Bigtable, as it is specifically designed to offer low-latency and high-throughput data processing, making it an ideal choice for large-scale NoSQL data storage and analytics. Cloud Bigtable is a scalable, fully managed NoSQL wide-column database that supports both low-latency single-point lookups and precalculated analytics. It is well-suited for applications such as IoT, finance, adtech, personalization, recommendations, time series support, monitoring, and geospatial datasets. Options A. Cloud Spanner and C. Cloud SQL are incorrect because they are relational databases, not optimized for NoSQL data storage. Option D. Cloud Datastore is also incorrect as it is not designed for high-throughput analytics.