AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company ingests about 100 000 clickstream events per second. Data engineers must store each event with minimal latency and allow customer-support dashboards to fetch the most recent 30 days of events for a single user in milliseconds. The solution must require little operational overhead and automatically remove data older than 30 days. Which storage option best fits these access patterns and requirements?

  • Store events in an Amazon DynamoDB table keyed by user ID and timestamp, enable on-demand capacity, and configure TTL for 30-day expiry.

  • Write events as Parquet files to Amazon S3 partitioned by date and query them with Amazon Athena on demand.

  • Insert events into an Amazon RDS for PostgreSQL instance with multiple read replicas and schedule daily purges of old rows.

  • Stream events into an Amazon Redshift cluster with sort keys on user ID and event time for analytical queries.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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