AWS Certified Solutions Architect Professional SAP-C02 Practice Question

A global e-commerce company is redesigning its product-catalog service. The new architecture must:

  1. Sustain up to 500 000 writes per second during vendor bulk uploads.
  2. Return catalog items with single-digit-millisecond latency to web and mobile clients.
  3. Let analysts run complex ad-hoc SQL queries across the entire catalog once per hour without affecting the transactional workload.
  4. Minimize operational overhead and ongoing cost.

Which approach will meet these requirements MOST effectively?

  • Store the catalog in sharded Amazon DocumentDB clusters. Use AWS Glue jobs to copy the data hourly to Amazon S3 and query it with Amazon Redshift Spectrum.

  • Store the catalog in Amazon DynamoDB using on-demand capacity. Enable point-in-time recovery and schedule hourly DynamoDB table exports to Amazon S3. Analysts query the exported data in S3 with Amazon Athena.

  • Deploy Amazon Aurora MySQL with provisioned writer and multiple read replicas. Take hourly automated snapshots, load them into Amazon Redshift with AWS DMS, and let analysts query the Redshift cluster.

  • Persist catalog documents in Amazon OpenSearch Service with UltraWarm storage. Use the OpenSearch SQL plugin for both transactional reads and analytic queries.

AWS Certified Solutions Architect Professional SAP-C02
Design for New Solutions
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