Google Professional Machine Learning Engineer
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In the context of managing and automating tasks for changing pipeline configurations in Google Cloud, consider a scenario where you need to schedule periodic data ingestion jobs, trigger data processing pipelines at specific intervals, and monitor the health of these pipelines. Given the requirements for reliability, efficiency, and minimal manual intervention, which Google Cloud service is the BEST choice? Choose one correct option.
A
Cloud Functions: A serverless execution environment for building and connecting cloud services, but lacks comprehensive scheduling capabilities for complex pipeline tasks.
B
Cloud Pub/Sub: A messaging service designed for real-time communication between applications, not suited for scheduling or orchestrating pipeline tasks.
C
Cloud Scheduler: A fully managed service that allows you to schedule virtually any job, including data ingestion, processing pipelines, and monitoring tasks, at specific times or intervals.
D
Cloud Tasks: A service that enables the execution of asynchronous tasks, primarily designed for App Engine applications, and not optimized for scheduling complex data pipeline tasks.