Which AWS services can be used to monitor resources in a data analytics architecture?

The choice of AWS CloudTrail and CloudWatch as the services for monitoring resources in a data analytics architecture is appropriate because both tools are specifically designed to provide insights and oversight over AWS resources.

AWS CloudTrail enables you to log, monitor, and retain account activity related to actions taken on your AWS infrastructure. By recording details about every API call made in your AWS environment, CloudTrail allows you to track changes, identify issues, and maintain compliance—essential components of resource monitoring in a data analytics scenario.

AWS CloudWatch serves as a monitoring and observability service, providing data and actionable insights to monitor AWS resources and applications in real-time. With capabilities for collecting and tracking metrics, collecting log files, and setting alarms, CloudWatch helps you gain visibility into resource utilization, operational performance, and overall system health. This is vital for maintaining optimal performance and availability of services used in data analytics workflows.

In contrast, the other options include services that are not specifically designed for the comprehensive monitoring and tracking of resources in a data analytics architecture. For example, AWS Lambda and AWS CodeDeploy are primarily focused on application deployment and serverless compute tasks, while AWS Step Functions is a service for orchestrating workflows. AWS S3 is focused on storage, and AWS EC2 is