Question
A media company wants to improve a system that recommends media content to customer based on user behavior and preferences. To improve the recommendation system, the company needs to incorporate insights from third-party datasets into the company's existing analytics platform.
The company wants to minimize the effort and time required to incorporate third-party datasets.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use API calls to access and integrate third-party datasets from AWS Data Exchange. Correct
- B. Use API calls to access and integrate third-party datasets from AWS DataSync.
- C. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
- D. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
Explanation
AWS Data Exchange is designed for securely transferring third-party data into your AWS environment, allowing you to easily subscribe to and use these datasets with minimal operational overhead. Using API calls to access and integrate these datasets directly from AWS Data Exchange aligns with the requirement to minimize effort and time.
