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Answer: Vehicles write data directly to Google Cloud Pub/Sub
The correct answer is B. Vehicles write data directly to Google Cloud Pub/Sub. This option is suitable because Pub/Sub is designed to handle high volumes of data ingestion and provides a buffer to manage the data spikes. Although Google BigQuery can handle streaming data, the volume in this scenario exceeds BigQuery's streaming limit. Writing data directly to GCS is not ideal for real-time data and may incur high costs. Continuing with the existing FTP system will not scale to handle the increased volume. Therefore, using Pub/Sub is the optimal choice for this scenario.
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TerramEarth has 20 million vehicles in operation, collecting data at a rate of 600 byte records per second per vehicle, resulting in 40 TB of data per hour. These vehicles are used in the mining and agricultural industries, and the company aims to reduce vehicle downtime and improve data analysis. How should you design the data ingestion system to handle the large volume of data generated as the company plans to connect all vehicles to the cloud?
A
Vehicles write data directly to GCS
B
Vehicles write data directly to Google Cloud Pub/Sub
C
Vehicles stream data directly to Google BigQuery
D
Vehicles continue to write data using the existing system (FTP)