SAA-C03 · Question #310
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to…
The correct answer is B. Implement a serverless architecture that uses AWS Lambda functions. For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales…
Question
A genomics research company is designing a scalable architecture for a loosely coupled workload. Tasks in the workload are independent and can be processed in parallel. The architecture needs to minimize management overhead and provide automatic scaling based on demand. Which solution will meet these requirements MOST cost-effectively?
Options
- AUse a cluster of Amazon EC2 instances. Use AWS Systems Manager to manage the workload.
- BImplement a serverless architecture that uses AWS Lambda functions.
- CUse AWS ParallelCluster to deploy a dedicated high-performance cluster.
- DImplement vertical scaling for each workload task.
How the community answered
(21 responses)- A5% (1)
- B71% (15)
- C10% (2)
- D14% (3)
Explanation
For workloads where tasks are independent and can be processed in parallel, and where minimizing management overhead is a priority, a serverless architecture using AWS Lambda is AWS Lambda allows you to run code without provisioning or managing servers. It automatically scales your application by running code in response to each trigger. Parallel Processing: Lambda functions can process multiple tasks concurrently, making it suitable for parallel workloads. Automatic Scaling: Lambda automatically scales by running code in response to each event, scaling precisely with the size of the workload. Minimal Management Overhead: With Lambda, there's no need to manage the underlying infrastructure, reducing operational complexity.
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