AWS Certified Data Engineer - Associate
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You are designing a data pipeline for a logistics company that needs to track and analyze the movement of goods 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?
Explanation:
Option D is the most suitable choice for the given scenario. Amazon Kinesis Data Firehose can handle high throughput and low latency for real-time data ingestion of the movement data. AWS Lambda can be used for serverless computing to process the data as it arrives. Amazon Elasticsearch can be used for real-time data analysis. By configuring Firehose to capture the movement data in real-time, Lambda to process the data, and Elasticsearch to store and analyze the processed data, the pipeline can meet the requirements of the logistics company.