Free DATA-ENGINEER-ASSOCIATE Web TestEngine Demo

Q13 Single choice

A company needs a solution to store and query product data that has variable attributes. The solution must support unpredictable and high-volume queries with single-digit millisecond latency, even during sudden

traffic spikes. The solution must retrieve items by a primary identifier named Product ID. The solution must allow flexible queries by secondary attributes named Category and Brand.

Which solutionwill meet these requirements?

A
Use an Amazon DynamoDB table with on-demand capacity to store product data. Store products by primary key.
Use global secondary indexes (GSIs) to store secondary attributes.
B
Use Amazon Aurora with a Multi-AZ deployment to store product data. Use read replicas. Create indexes for primary and secondary attributes.
C
Use an Amazon OpenSearch Serverless cluster with dynamic scaling to store product data. Index product data by primary and secondary attributes.
D
Use Amazon ElastiCache (Redis OSS) and Amazon S3 to store product data. Use Amazon Athena to
run flexible secondary attribute queries.

DATA-ENGINEER-ASSOCIATE Web TestEngine demo