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Answer: Design a multi-cloud, serverless ETL pipeline that leverages cloud computing and distributed computing concepts, such as auto-scaling, pay-as-you-go pricing, and parallel processing.
Option B is the correct answer. Designing a multi-cloud, serverless ETL pipeline allows for leveraging the benefits of cloud computing and distributed computing, such as auto-scaling, pay-as-you-go pricing, and parallel processing. This approach ensures scalability, cost-effectiveness, and performance optimization. Using a single cloud service provider or migrating the existing on-premises pipeline without modifications may not fully utilize the cloud's capabilities. Storing only the processed data in the cloud does not address the ETL pipeline requirements.
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Your company is planning to migrate its data processing infrastructure to the cloud. Describe the steps you would take to design and implement an ETL pipeline in the cloud, considering the scalability, cost-effectiveness, and performance requirements. Explain how you would leverage cloud computing and distributed computing concepts in the process.
A
Use a single cloud service provider and deploy a monolithic ETL pipeline without considering scalability or cost-effectiveness.
B
Design a multi-cloud, serverless ETL pipeline that leverages cloud computing and distributed computing concepts, such as auto-scaling, pay-as-you-go pricing, and parallel processing.
C
Migrate the existing on-premises ETL pipeline to the cloud without any modifications or optimizations for cloud computing.
D
Use a traditional on-premises ETL pipeline and only store the processed data in the cloud for backup and disaster recovery purposes.
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