AWS Certified Data Analytics Specialty 2021 – Hands-On - AWS Data Exchange

The video tutorial introduces AWS Data Exchange, a service that allows users to find and subscribe to third-party data in the cloud. It provides examples of data providers like Reuters and Foursquare, and explains how to use Data Exchange with AWS services such as S3 and SageMaker for data analysis and machine learning. The tutorial also covers features like Redshift integration and API support, highlighting the flexibility and capabilities of AWS Data Exchange.

What is the primary purpose of AWS Data Exchange?

• To manage AWS billing and costs

• To provide cloud storage solutions

• To facilitate the exchange and subscription of third-party data

• To offer machine learning algorithms

Which of the following companies provides data sets through AWS Data Exchange?

• Microsoft

• Reuters

• Google

• Apple

How can data from AWS Data Exchange be loaded for analysis?

• Directly into Amazon S3 using the Data Exchange API

• Using a USB drive

• By downloading to a local server

• Through a third-party application

What AWS service can be used for machine learning on data from AWS Data Exchange?

• Amazon RDS

• Amazon CloudFront

• Amazon EC2

• Amazon SageMaker

What feature allows AWS Data Exchange to integrate with Amazon Redshift?

• Data Exchange for Redshift

• Redshift Spectrum

• Redshift Clusters

• Redshift Query Editor