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Answer: Pub/Sub for handling technical data messages efficiently, DataFlow for versatile data management, supporting both streaming and batch processing modes, Firebase Messaging for sending push notifications to customers
The optimal GCP products for this scenario are: - **Pub/Sub** for handling technical data messages efficiently, ensuring scalable and reliable message ingestion. - **DataFlow** for versatile data management, supporting both streaming and batch processing modes, making it ideal for preprocessing and transforming the collected data. - **Firebase Messaging** is ideal for sending push notifications to customers, providing a reliable and user-friendly notification system. **Why not Dataproc?** Dataproc is designed for batch processing in a managed Apache Hadoop environment, making it less suitable for the streaming data requirements of this project. **Why not Cloud Functions?** While Cloud Functions can trigger on events, it's not the best fit for the continuous data processing and transformation needs of this project compared to DataFlow. For more insights, explore: - [Processing streaming time-series data overview](https://cloud.google.com/architecture/processing-streaming-time-series-data-overview) - [ML inference in Dataflow pipelines](https://cloud.google.com/blog/products/data-analytics/ml-inference-in-dataflow-pipelines) - [Dataflow sample applications](https://github.com/GoogleCloudPlatform/dataflow-sample-applications/tree/master/timeseries-streaming)
Author: LeetQuiz Editorial Team
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In a large company specializing in luxury cars, a new feature is being introduced where control units in cars will collect data on mileage and technical status. This data, sent in small batches daily, will be processed to manage vehicle health and send push notifications for important messages. The solution must be scalable to handle millions of vehicles, cost-effective, and comply with global data protection regulations. Which three Google Cloud Platform (GCP) products are most suitable for this project? (Choose three)
A
Firebase Messaging for sending push notifications to customers
B
DataFlow for versatile data management, supporting both streaming and batch processing modes
C
Dataproc for batch processing in a managed Apache Hadoop environment
D
Pub/Sub for handling technical data messages efficiently
E
Cloud Functions for serverless execution of code in response to events