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Answer: AWS Glue and Amazon Redshift
Option B is the most appropriate choice for building a scalable, fault-tolerant, and high-availability data ETL pipeline. AWS Glue is a fully managed ETL service that can process large volumes of data from various sources and load it into a data warehouse like Amazon Redshift. Glue can handle complex data transformations and can scale automatically to accommodate the workload. Amazon Redshift is a fast, fully managed data warehouse service that can handle petabyte-scale data and provide fast query performance. By using AWS Glue and Amazon Redshift together, you can build a robust and scalable data pipeline that meets the requirements of the task.
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You are tasked with designing a data ETL pipeline that processes large volumes of data from various sources and loads it into a data warehouse. The pipeline must be scalable, fault-tolerant, and able to handle high availability. Which of the following AWS services would you use to build this pipeline, and why?
A
AWS Lambda and Amazon S3
B
AWS Glue and Amazon Redshift
C
Amazon MWAA and Amazon S3
D
AWS Step Functions and Amazon DynamoDB