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?
A
Use Amazon Kinesis for real-time data streaming, AWS Lambda for serverless computing, and Amazon DynamoDB for data storage. Configure Kinesis to capture the movement data in real-time, Lambda to process the data, and DynamoDB to store the processed data.
B
Use Amazon S3 for data storage, AWS Glue for ETL processing, and Amazon Redshift for data warehousing. Configure Glue to process the movement data as it arrives, and Redshift to store and analyze the processed data.
C
Use Amazon Kinesis Data Streams for real-time data streaming, AWS Glue for ETL processing, and Amazon Elasticsearch for data analysis. Configure Data Streams to capture the movement data in real-time, Glue to process the data, and Elasticsearch to store and analyze the processed data.
D
Use Amazon Kinesis Data Firehose for real-time data ingestion, AWS Lambda for serverless computing, and Amazon Elasticsearch for data analysis. Configure Firehose to capture the movement data in real-time, Lambda to process the data, and Elasticsearch to store and analyze the processed data.