In the context of automating and scheduling data pipeline tasks in Google Cloud, consider a scenario where a company needs to process large volumes of data daily, with specific requirements for cost-efficiency, scalability, and minimal manual intervention. Given these constraints, which Google Cloud service is the BEST choice for scheduling and automating the execution of these tasks? Choose the most appropriate option.

Real Exam

Explanation:

Correct Option: D. Cloud Scheduler

Cloud Scheduler is the best choice for scheduling and automating the execution of data pipeline tasks in Google Cloud due to its fully managed nature, ability to schedule tasks at specific times or intervals, and its suitability for scenarios requiring cost-efficiency, scalability, and minimal manual intervention. It enables automated data ingestion, processing pipelines, ML model deployment, and pipeline health monitoring, ensuring efficient and reliable operation of data pipelines.

Why other options are not correct:

A. Cloud Run: While scalable for running containers, it lacks native scheduling capabilities necessary for automating data pipeline tasks.
B. Cloud Storage: Provides durable and available object storage but does not offer features for scheduling tasks.
C. BigQuery: Optimized for analytics and querying large datasets, not for scheduling or automating tasks.
E. Cloud Functions: Suitable for event-driven executions but not specifically designed for scheduling recurring tasks, making it less optimal for this scenario.

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Google Professional Machine Learning Engineer

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Google Professional Machine Learning Engineer

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