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Answer: Amazon Kinesis Data Firehose and Amazon Personalize
Option C is the most suitable choice for building a data pipeline that processes and analyzes data from various sources and generates real-time recommendations for customers with high throughput and low-latency processing. Amazon Kinesis Data Firehose is a fully managed service that can ingest large volumes of data from various sources and deliver it to various AWS services. Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers using real-time data. By using Amazon Kinesis Data Firehose and Amazon Personalize together, you can set up a data pipeline that ingests data from various sources, processes it in real-time, and generates personalized recommendations for customers.
Author: LeetQuiz Editorial Team
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Your company has a requirement to build a data pipeline that processes and analyzes data from various sources and generates real-time recommendations for customers. 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 Data Streams and AWS Lambda
B
AWS Glue and Amazon SageMaker
C
Amazon Kinesis Data Firehose and Amazon Personalize
D
AWS Step Functions and Amazon DynamoDB
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