AWS Certified Developer Associate DVA-C02 Practice Question
When architecting a new serverless application to perform enhanced data manipulation tasks in AWS, which method would be most suitable for managing predictable performance demands and cost-efficiency in its read and write operations?
Provisioning a NoSQL database with customizable levels of read/write capacity
Triggering a function to execute each time data changes occur within the database
Expanding the allocated memory of the database instances to improve caching mechanisms
Deploying additional read replicas for the database to enhance data retrieval efficiency
Opting for a NoSQL database and adjusting read/write capacity units in anticipation of workload demands is a recommended approach to manage performance requirements while controlling costs. It allows developers to estimate the required throughput, ensuring that the application can handle the expected traffic with consistent performance. This option enables fine-grained control over resource allocation, which aligns with the goal of handling predictable performance demands and cost-efficiency. While triggering a function on data stream events can respond to database changes, it does not inherently optimize CRUD operation performance or cost. Creating a read replica can enhance read throughput but does not directly impact write operations or address the proactive provisioning strategy. Similarly, augmenting the memory of a database instance may assist with caching but does not offer precise control over CRUD operation scalability and cost like proactive capacity provisioning does.
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Why is a NoSQL database better suited for handling predictable performance demands in serverless applications?
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AWS Certified Developer Associate DVA-C02
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