AWS Batch Components

Correct Answer - B, C.

As a fully managed service, AWS Batch enables you to run batch computing workloads of any scale.

The key components of AWS Batch are as below.

1, Jobs: A unit of work (such as a shell script, a Linux executable, or a Docker container image) that you submit to AWS Batch.

2, Job Definitions: A job definition specifies how jobs are to be run; you can think of it as a blueprint for the resources in your job.

3, Job Queues: When you submit an AWS Batch job, you submit it to a particular job queue, where it resides until it is scheduled onto a compute environment.

4, Compute Environment: A compute environment is a set of managed or unmanaged compute resources used to run jobs.

Option A is incorrect: Because in AWS Batch, you do not need to configure the Auto Scaling settings that AWS Batch takes care of.

Option B is CORRECT: Because a job is required for AWS Batch to understand the task.

Option C is CORRECT: Because the compute environment is where AWS Batch executes the specific tasks.

Option D is incorrect: Because AWS Batch uses a job queue rather than an SQS queue where you submit the AWS Batch job.

Sure, I can help you with that!

AWS Batch is a service that enables you to run batch computing workloads on the AWS Cloud. It allows you to define and execute batch jobs using Docker containers. The service handles the details of scheduling and launching instances, managing the environment, and monitoring and logging the progress of your batch jobs.

In the scenario you provided, the media and entertainment company is currently using EC2 instances to run daily batch processing tasks. The operation manager wants to switch to AWS Batch to improve the scheduling and execution of these tasks. To do so, you will need to create the following components:

1. A compute environment: A compute environment is a set of resources that AWS Batch uses to run your batch jobs. These resources can be EC2 instances, EC2 Spot instances, or Fargate resources. You can specify the minimum and maximum number of instances in the compute environment, as well as the type of instance or resource to use. You can also configure the environment to use Auto Scaling, which automatically adds or removes instances based on the workload.

2. A job definition: A job definition describes the parameters and resources required for a batch job to run. It includes the Docker image to use, the command to run inside the container, the memory and CPU requirements, and any environment variables or data volumes needed. You can also specify any dependencies or constraints for the job.

With these two components in place, you can submit batch jobs to AWS Batch, which will schedule and run them on the compute environment you created. When you submit a job, you specify the job definition to use, as well as any additional parameters or inputs required. AWS Batch will handle the scheduling and execution of the job, scaling the compute environment as needed to meet the demand.

Now, let's take a look at the answer options:

A. An Auto Scaling configuration for the AWS Batch computer resources to use.

This is partially correct. You do need to configure Auto Scaling for the compute environment, but it is not the only component you need to create. Without a compute environment or job definition, Auto Scaling alone cannot enable the execution of batch jobs.

B. A job that runs as a containerized application on an Amazon EC2 instance, using parameters that you specify in a job definition.

This is incorrect. The question specifically asks about AWS Batch, which runs batch jobs using Docker containers, not directly on EC2 instances.

C. A compute environment that is a set of compute resources for running jobs.

This is correct. As explained earlier, a compute environment is a required component of AWS Batch that provides the resources for running batch jobs.

D. An SQS queue that AWS Batch uses to execute tasks. When there is a message in the queue, it is scheduled onto an AWS Batch compute environment.

This is incorrect. AWS Batch does not use an SQS queue to execute tasks. Instead, it uses the job queue feature to manage and prioritize the submission of batch jobs.

Therefore, the correct answers to the question are A and C, since you need to create a compute environment and configure Auto Scaling for it. However, it's important to note that a job definition is also a necessary component of AWS Batch, which was not mentioned in the answer options.