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Answer: Employ Amazon API Gateway with Amazon Kinesis Data Analytics for real-time streaming data processing and REST API data accessibility.
The correct answer is D. Using Amazon API Gateway with Amazon Kinesis Data Analytics is the best solution for storing and retrieving location data. Amazon Kinesis Data Analytics can process real-time streaming data efficiently, making it ideal for tracking bicycle locations during peak hours. Amazon API Gateway will help in making this data accessible via a REST API, meeting the company's requirements for integration with its existing analytics platform. Other options like Athena with S3, API Gateway with Lambda, and QuickSight with Redshift are not as well-suited for real-time data processing and accessibility via a REST API.
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A bicycle sharing company seeks a multi-tier architecture solution to track bicycle locations during peak hours, integrating with an existing analytics platform and making data accessible via REST API.
A
Leverage Amazon Athena and Amazon S3 for data analysis through SQL-like queries on data stored in S3.
B
Implement Amazon API Gateway with AWS Lambda to build a serverless architecture for processing and responding to REST API requests.
C
Utilize Amazon QuickSight with Amazon Redshift for data visualization and analysis within a managed data warehouse environment.
D
Employ Amazon API Gateway with Amazon Kinesis Data Analytics for real-time streaming data processing and REST API data accessibility.
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