Google Professional Machine Learning Engineer
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In the context of building a scalable, event-driven architecture for a global retail application that requires real-time inventory updates across multiple regions, which Google Cloud service would you choose for real-time messaging and data streaming? Consider the need for low latency, high throughput, and the ability to handle millions of messages per second. Choose the best option.
A
Cloud SQL: A managed relational database service that supports PostgreSQL, MySQL, and SQL Server, suitable for transactional data but not optimized for real-time messaging.
B
Pub/Sub: A fully managed real-time messaging service that enables the sending and receiving of messages between independent applications, designed for high-throughput, low-latency messaging across the globe.
C
Data Studio: A tool for creating interactive dashboards and reports, which is not designed for real-time messaging or data streaming.
D
Bigtable: A managed NoSQL database service ideal for large analytical and operational workloads, but not specifically designed for real-time messaging.
E
Cloud Spanner: A globally distributed database service that offers strong consistency and horizontal scalability, but not optimized for real-time messaging.