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Answer: AWS Glue and Amazon Redshift
Option C is the most appropriate choice for building a data pipeline that ingests data from various sources, performs complex transformations, and loads it into a data warehouse with scalability, fault tolerance, and data governance support. AWS Glue is a fully managed ETL service that can ingest data from various sources, perform complex transformations, and load it into a data warehouse like Amazon Redshift. Glue can scale automatically to accommodate the workload and provides fault tolerance by retrying failed tasks. It also supports data governance by maintaining a data catalog that tracks the schema and data lineage. By using AWS Glue and Amazon Redshift together, you can build a data pipeline that meets the requirements of the task.
Author: LeetQuiz Editorial Team
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You are responsible for designing a data pipeline that ingests data from various sources, performs complex transformations, and loads it into a data warehouse. The pipeline should be scalable, fault-tolerant, and support data governance. Which AWS service would you use to build this pipeline, and why?
A
AWS Lambda and Amazon S3
B
Amazon Kinesis Data Streams and Amazon Redshift
C
AWS Glue and Amazon Redshift
D
AWS Step Functions and Amazon DynamoDB
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