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Answer: Amazon Kinesis and Amazon Elasticsearch Service
Option A is the most suitable choice for building a data pipeline that processes and analyzes log data from multiple sources and generates real-time insights with high throughput and low-latency processing. 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 Elasticsearch Service is a fully managed service that makes it easy to deploy, secure, and run Elasticsearch, a popular open-source search and analytics engine, in the cloud. By using Amazon Kinesis and Amazon Elasticsearch Service together, you can set up a data pipeline that ingests log data from multiple sources, processes it in real-time, and generates insights using Elasticsearch's search and analytics capabilities.
Author: LeetQuiz Editorial Team
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You are responsible for designing a data pipeline that processes and analyzes log data from multiple sources and generates real-time insights. The pipeline should be able to handle high throughput and low-latency processing. Which AWS services would you use to build this pipeline, and how would you set it up?
A
Amazon Kinesis and Amazon Elasticsearch Service
B
AWS Lambda and Amazon CloudWatch Logs
C
Amazon S3 and Amazon Athena
D
AWS Glue and Amazon QuickSight
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