
Ultimate access to all questions.
Consider a scenario where you need to build a data processing pipeline that can handle varying loads of data throughout the day. Which AWS services would you use to ensure the pipeline scales automatically to meet these demands? Discuss the configuration and management of these services.
A
Use Amazon EC2 instances with manual scaling based on load predictions.
B
Use AWS Lambda for serverless processing and Amazon Kinesis for data streaming.
C
Use Amazon ECS with Auto Scaling groups to manage containerized workloads.
D
Use Amazon Redshift for data warehousing with manual scaling configurations.