A company’s applications use Apache Hadoop and Apache Spark to process data on premises. The existing infrastructure is not scalable and is complex to manage.
A solutions architect must design a scalable solution that reduces operational complexity. The solution must keep the data processing on premises.
Which solution will meet these requirements?
To design a scalable solution that reduces operational complexity while keeping the data processing on premises, migrating the Apache Hadoop and Apache Spark applications to Amazon EMR clusters on AWS Outposts is the best option. AWS Outposts allows you to run AWS services on-premises, ensuring that the data processing remains local while leveraging the scalability and simplicity of managed EMR clusters.
C cover requirement: The solution must keep the data processing on premises
I would go for option C, as data processing has to be done on premise.
Create an Amazon EMR Cluster: With the data now available in Amazon S3, the company can create an Amazon EMR cluster for data processing. EMR provides scalable Hadoop and Spark clusters that can process data stored in S3, enabling the company to leverage cloud-based processing resources while still keeping the data processing on premises.
Selected response : C
Only solution to keep the processing on-prem.
Answer C