AWS Certified Data Engineer - Associate

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You are tasked with designing an ETL pipeline for a social media analytics company that needs to process and analyze user-generated content in real-time. The pipeline should be able to handle high throughput and low latency. Which AWS services would you use to create this pipeline, and how would you configure them to meet the requirements?

Simulated

Explanation:

Option A is the most suitable choice for the given scenario. Amazon Kinesis can handle high throughput and low latency for real-time data streaming of user-generated content. AWS Lambda can be used for serverless computing to process the content as it arrives. Amazon Elasticsearch can be used for real-time data analysis. By configuring Kinesis to capture user-generated content in real-time, Lambda to process the content, and Elasticsearch to store and analyze the processed data, the pipeline can meet the requirements of the social media analytics company.