GiantCampaign is a technology-driven media measurement company.
The GiantCampaign dashboard is used primarily by music industry professionals such as concert promoters, venues, radio programmers, managers, agents, and marketers to access information about the popularity of artists and songs across radio airplay, online streaming, social activity, sales, and live events. GiantCampaign hosted their entire infrastructure on AWS and uses Data Pipeline as data integration mechanism which includes data integration, processing and store data.
AWS Pipeline works with AWS compute services to address transformation and works with AWS storage services to store data.
Please identify the relevant services. Select 2 options.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer: C, D.
Option A is incorrect -AWS Data Pipeline works with Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3 to provide storage for data
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/datapipelinOption B is incorrect -AWS Data Pipeline works with Amazon EC2, and Amazon EMR to provide compute for transformation of data
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/datapipelinOption C is correct -AWS Data Pipeline works with Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3 to provide storage for data.
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/datapipelinOption D is correct -AWS Data Pipeline works with Amazon EC2, and Amazon EMR to provide compute for transformation of data.
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/datapipelinThe correct options are A and D.
AWS Data Pipeline is a service that provides a simple and reliable way to move and process data between different AWS compute and storage services. It allows users to create data processing workflows that automatically take care of scheduling, resource management, and error handling.
Option A is correct because AWS Data Pipeline works with Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3 to provide compute for transformation of data. These are all AWS storage and compute services that can be used to store and process data in various ways. For example, Amazon DynamoDB is a NoSQL database service, Amazon RDS is a relational database service, Amazon Redshift is a data warehousing service, and Amazon S3 is a scalable object storage service. These services can be used together to build a complete data processing and analysis pipeline.
Option D is correct because AWS Data Pipeline works with Amazon EC2 and Amazon EMR to provide compute for transformation of data. Amazon EC2 is a web service that provides resizable compute capacity in the cloud. Amazon EMR is a web service that makes it easy to process large amounts of data using Hadoop, Spark, or other big data frameworks. These services can be used together to run data processing jobs and perform transformations on the data stored in other AWS services.
Option B is incorrect because AWS Data Pipeline does not work with Amazon EC2 and Amazon EMR to provide storage of data. These are compute services, not storage services. Option C is also incorrect because AWS Data Pipeline does not work with Amazon EC2 and Amazon EMR to provide storage for data. These are compute services, not storage services.