Which Google Cloud product is designed as a distributed messaging service for ingesting messages from multiple streams?

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Study for the Google Cloud Professional Machine Learning Engineer Test. Study with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

The correct choice is designed specifically to handle real-time messaging and event ingestion from various sources, making it an ideal solution for stream processing and communication between different system components. This product allows for the reception, storage, and processing of messages sent from different applications, devices, or services, and facilitates reliable message delivery and processing even when parts of the system are temporarily unavailable.

In scenarios where numerous data sources need to send messages asynchronously, this service acts as an intermediary, providing a robust and scalable platform for distributing these messages to subscribers in real-time. Importantly, it supports high throughput, ensuring that large volumes of messages can be efficiently handled without overwhelming the receiving systems.

Other options relate to different functionalities: for example, one focuses on processing data in pipelines rather than direct messaging, while another is a data warehousing solution. The fourth option is designed for storing files but does not manage messaging or event distribution, which is the core purpose of the correct choice.

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