AWS Certified Developer Associate DVA-C02 Practice Question
A development team is building a social media analytics platform that rapidly processes and analyzes streaming data from various sources. The application must dynamically adapt to unpredictable schemas and requires immediate consistency for write operations due to the interdependent nature of the data. Considering the need for auto-scaling capabilities and high-throughput performance, which Amazon database service should the development team leverage for their data tier?
Amazon DynamoDB is suitable for applications requiring schema flexibility, immediate consistency, and high-throughput performance. DynamoDB's ability to auto-scale and handle unpredictable workloads matches the application requirements specified in the scenario. Amazon Keyspaces offers Apache Cassandra-compatible features, but it does not inherently guarantee immediate consistency. Amazon Aurora is a relational database and might struggle with schema flexibility and the unpredictable workloads implied in the scenario. Amazon Timestream is built for time-series data and might not be the best fit when immediate consistency for write operations is a primary requirement.
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AWS Certified Developer Associate DVA-C02
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