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Answer: Enable the Concurrency Scaling feature for the Amazon Redshift cluster.
The correct answer is D. The Concurrency Scaling feature in Amazon Redshift allows additional capacity to be added automatically when the system experiences heavy traffic. This feature supports both read and write queries and ensures that the cluster can handle unexpected bursts of usage efficiently and cost-effectively, as it scales only when needed. This makes it the most suitable solution compared to others, such as provisioning an Amazon EMR cluster or using AWS Lambda functions for resizing the cluster, which might not be as efficient or cost-effective for immediate and temporary demand spikes.
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A data analytics company operates an Amazon Redshift cluster with reserved nodes, which is currently facing unexpected high CPU usage due to complex read queries from a team compiling a deep audit analysis report. The business requires uninterrupted service for both read and write queries. What is the most cost-effective solution for a solutions architect to accommodate these sudden usage spikes?
A
Provision an Amazon EMR cluster to handle the complex data processing tasks.
B
Deploy an AWS Lambda function to increase the Amazon Redshift cluster's capacity using a classic resize operation when CPU metrics in Amazon CloudWatch reach 80%.
C
Deploy an AWS Lambda function to increase the Amazon Redshift cluster's capacity using an elastic resize operation when CPU metrics in Amazon CloudWatch reach 80%.
D
Enable the Concurrency Scaling feature for the Amazon Redshift cluster.
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