Google Cloud Professional Data Engineer Exam

Which Google Cloud service is best for running long batch jobs without managing infrastructure?

1. Cloud Run

2. Cloud Scheduler

3. Batch

4. Workflows

The correct answer is: Batch

The choice of Batch as the best Google Cloud service for running long batch jobs without managing infrastructure is well-founded. Google Cloud Batch is specifically designed to handle batch processing workloads. It allows users to efficiently manage and run batch processing jobs at scale, and it automatically provisions the necessary virtual machines and compute resources needed for these jobs. This means that users do not have to worry about the underlying infrastructure, as Batch can dynamically allocate resources based on the job requirements and the workload. Users benefit from Batch’s capabilities to submit jobs and specify the compute environments without being tied to specific hardware choices. The service supports various job types and can handle large volumes of data effectively, ensuring lower costs by leveraging preemptible VMs when appropriate. This makes it a suitable choice for long-running, resource-intensive batch jobs while abstracting away the complexities of infrastructure management. In contrast, services like Cloud Run and Workflows are designed for specific use cases such as handling containerized applications and orchestrating workflows, respectively, which may not be ideal for traditional batch processing jobs. Cloud Scheduler is primarily for scheduling tasks to run at specific times but does not provide the inherent capabilities necessary for managing long-running batch jobs efficiently.