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Answer: AWS Glue and Amazon S3
Option C is the most appropriate choice for building a scalable, fault-tolerant, and high-availability data pipeline that processes and loads data from multiple sources into a data lake. AWS Glue is a fully managed ETL service that can process large volumes of data from various sources and load it into a data lake like Amazon S3. Glue can handle complex data transformations and can scale automatically to accommodate the workload. Amazon S3 is a highly durable and scalable object storage service that can store and retrieve any amount of data from anywhere. By using AWS Glue and Amazon S3 together, you can build a data pipeline that meets the requirements of the task, providing scalability, fault tolerance, and high availability.
Author: LeetQuiz Editorial Team
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Your company has a requirement to build a data pipeline that processes and loads data from multiple sources into a data lake. The pipeline should be scalable, fault-tolerant, and able to handle high availability. Which AWS services would you use to build this pipeline, and how would you set it up?
A
AWS Lambda and Amazon S3
B
Amazon Kinesis and Amazon S3
C
AWS Glue and Amazon S3
D
AWS Step Functions and Amazon DynamoDB
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