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Answer: Use AWS Lambda for serverless processing and Amazon Kinesis for data streaming.
AWS Lambda and Amazon Kinesis are ideal for handling varying loads of data due to their serverless nature and automatic scaling capabilities. Lambda scales automatically with the number of incoming requests, and Kinesis can handle large volumes of data streams efficiently.
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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.
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