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Answer: Amazon Timestream
Amazon Timestream is a fast, scalable, and cost-effective time-series database service that is designed specifically for time-series data. It can handle high write and query loads and is optimized for time-series data storage and querying. To configure it, you can create a Timestream database and table, define the necessary time and measure columns, and set up ingestion and query APIs. Amazon S3 can be used to store time-series data in a specific format, but it is not optimized for time-series data querying. Amazon RDS with a time-series database engine can be used to store and query time-series data, but it may not provide the same level of performance and scalability as Timestream. Amazon DynamoDB with time-to-live (TTL) can be used to automatically expire data based on a specified time interval, but it is not optimized for time-series data storage and querying.
Author: LeetQuiz Editorial Team
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Your company is developing a data analytics application that requires high-performance and scalable storage for time-series data. Which AWS storage service should you use, and how should you configure it to optimize for time-series data storage and querying?
A
Amazon S3 with time-series data format
B
Amazon RDS with time-series database engine
C
Amazon DynamoDB with time-to-live (TTL)
D
Amazon Timestream
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