Topic 1 Question 3
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?
Use API calls to access and integrate third-party datasets from AWS Data Exchange.
Use API calls to access and integrate third-party datasets from AWS DataSync.
Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
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コメント(16)
- 正解だと思う選択肢: A
AWS DataSync is primarily used for data transfer services designed to simplify, automate, and accelerate moving data between on-premises storage systems and AWS storage services, as well as between different AWS storage services. Its primary role is not for accessing third-party datasets but for efficiently transferring large volumes of data. In contrast, AWS Data Exchange is designed specifically for discovering and subscribing to third-party data in the cloud, providing direct API access to these datasets, which aligns perfectly with the company's need to integrate this data into their recommendation systems with minimal overhead.
👍 13KelvinPun2024/09/20 - 正解だと思う選択肢: A
AWS Data Exchange is a service that makes it easy to share and manage data permissions from other organizations
👍 4hsnin2024/03/17 A Data Exchange is the AWS official third-party datasets repository: https://aws.amazon.com/data-exchange
👍 3lalitjhawar2024/01/31
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