Suggested Answer:C🗳️
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services as well as on premise data sources at specified intervals. With AWS Data Pipeline, you can regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to another AWS. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. AWS Data Pipeline also allows you to move and process data that was previously locked up in on premise data silos. Reference: http://aws.amazon.com/datapipeline/
Option C, "Generate reports over data that has been stored," cannot be done directly using AWS Data Pipeline.
AWS Data Pipeline is a web service that allows you to orchestrate and automate the movement and processing of data between different AWS services and on-premises data sources. It is designed for managing and orchestrating complex data processing workloads. However, generating reports over stored data typically involves querying and analyzing the data, which is not a direct functionality provided by AWS Data Pipeline.
To generate reports over stored data in AWS, you can use other services such as Amazon Athena, Amazon Redshift, or Amazon QuickSight. These services provide querying, analysis, and visualization capabilities that can be used to generate reports based on the stored data.
Looks like C is correct. There is no documentation about creating report.
AWS Data Pipeline helps you move, integrate, and process data across AWS compute and storage resources, as well as your on-premises resources. AWS Data Pipeline supports integration of data and activities across multiple AWS regions.
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