Google Cloud Digital Leader Practice Exam

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What product is designed for structured or semi-structured data with an analytical workload and NoSQL capabilities?

BigQuery
Cloud Spanner
Firestore
Cloud Bigtable

The correct answer is: Cloud Bigtable

Cloud Bigtable is designed for structured and semi-structured data, making it well-suited for analytical workloads requiring NoSQL capabilities. It is a fully managed, scalable NoSQL database service optimized for high throughput and low latency, particularly useful for big data applications. Bigtable is often used for scenarios that involve large amounts of time-series data, IoT data, and user analytics, where flexible schemas are required. It’s capable of handling petabytes of data and can serve as the backend for various analytical tools, further supporting its use in analytical environments. BigQuery, while also an analytical tool, is primarily used for SQL-based querying of large datasets and is not classified as a NoSQL database, making it less appropriate for applications needing more flexible data models. Cloud Spanner is a relational database service that combines the benefits of SQL databases with the scalability of NoSQL databases but is more structured in its data management approach. Firestore is designed for mobile, web, and server development, offering a document database model that emphasizes real-time updates and ease of use, but it doesn't match the scale of Bigtable in terms of analytics and performance on large datasets.