1. What is job scheduling in AWS Batch?

Answer: Job scheduling in AWS Batch is the process of managing and prioritizing the execution of jobs submitted to a job queue. The scheduling policy determines how jobs are selected for execution based on factors such as job priority, job dependencies, and available compute resources.

2. How do I create a job queue in AWS Batch?

Answer: To create a job queue in AWS Batch, you can use the AWS Management Console, AWS CLI, or AWS SDKs. You need to specify the name of the job queue, the priority of the queue, and the compute environment(s) that the queue is associated with.

3. Can I create multiple job queues in AWS Batch?

Answer: Yes, you can create multiple job queues in AWS Batch. Each job queue can have its own scheduling policy and priority, and can be associated with one or more compute environments.

4. How do I specify the scheduling policy for a job queue in AWS Batch?

Answer: You can specify the scheduling policy for a job queue in AWS Batch when you create the queue. The scheduling policy determines how jobs are selected for execution based on factors such as job priority, job dependencies, and available compute resources. You can choose from several pre-defined scheduling policies or create a custom policy.

5. What is fair share scheduling in AWS Batch?

Answer: Fair share scheduling is a scheduling policy in AWS Batch that allocates compute resources to each job queue based on a fair share algorithm. This algorithm takes into account the number of jobs in each queue, the priority of each job, and the amount of compute resources available. Fair share scheduling ensures that each job queue receives a fair allocation of compute resources over time.