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Answer: Amazon Kinesis and Amazon Timestream
Option A is the most suitable choice for building a data pipeline that processes and analyzes time-series data from IoT devices with high throughput, low-latency processing, and real-time insights. Amazon Kinesis is a scalable and durable real-time data streaming service that can handle high throughput and low-latency processing of streaming data. Amazon Timestream is a fast, scalable, and fully managed time-series database service that makes it easy to store and analyze trillions of time-series data points per day. By using Amazon Kinesis and Amazon Timestream together, you can set up a data pipeline that ingests time-series data from IoT devices, processes it in real-time, and generates insights using Timestream's time-series analysis capabilities.
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You are tasked with designing a data pipeline that processes and analyzes time-series data from IoT devices. The pipeline should be able to handle high throughput and low-latency processing and generate real-time insights. Which AWS services would you use to build this pipeline, and how would you set it up?
A
Amazon Kinesis and Amazon Timestream
B
AWS Lambda and Amazon CloudWatch
C
AWS Glue and Amazon QuickSight
D
Amazon Kinesis Data Firehose and Amazon Elasticsearch Service