Google Cloud Digital Leader 2025 – 400 Free Practice Questions to Pass the Exam

The best choice for ingesting location data from onboard sensors in rental vehicles is Pub/Sub. This service is designed for high-throughput, real-time messaging, making it ideal for scenarios where data is generated continuously from sensors. Pub/Sub allows for seamless ingestion of data streams, enabling the rental vehicle system to handle and process location updates efficiently as they occur.

As data is generated from multiple vehicles, Pub/Sub can scale appropriately, allowing the system to manage large volumes of incoming messages without delays. This is essential for real-time applications that require quick responses based on dynamic location data.

In contrast, while Dataflow is powerful for real-time data processing and could be used in a broader context to process the ingested data, it functions primarily as a processing engine that would work in conjunction with a messaging service like Pub/Sub. Cloud SQL is a relational database useful for structured data storage rather than real-time ingestion of streaming data. Cloud Storage, while suitable for storing large amounts of data, is not optimized for real-time data ingestion and processing, as it is primarily designed for object storage rather than streaming.

Thus, Pub/Sub is the most effective choice for this use case due to its design for real-time data ingestion and processing scalability.