SAA-C03 · Question #189
A company is developing a containerized web application that needs to be highly available and scalable. The application requires access to GPU resources. Which solution will meet this requirement?
The correct answer is D. Run the application on Amazon EC2 instances from a GPU instance family by using Amazon. Why Option D is Correct: GPU Access: Only EC2 instances in the GPU family (e.g., P2, P3) can provide GPU resources. ECS Orchestration: Simplifies container deployment and management. Why Other Options Are Not Ideal: Option A: Lambda does not support GPU-based runtimes. Option B:
Question
A company is developing a containerized web application that needs to be highly available and scalable. The application requires access to GPU resources. Which solution will meet this requirement?
Options
- APackage the application as an AWS Lambda function in a container image. Use Lambda to run
- BDeploy the application container to Amazon Elastic Kubernetes Service (Amazon EKS). Use
- CDeploy the application container to Amazon Elastic Container Registry (Amazon ECR). Use
- DRun the application on Amazon EC2 instances from a GPU instance family by using Amazon
How the community answered
(54 responses)- A7% (4)
- B11% (6)
- C4% (2)
- D78% (42)
Explanation
Why Option D is Correct: GPU Access: Only EC2 instances in the GPU family (e.g., P2, P3) can provide GPU resources. ECS Orchestration: Simplifies container deployment and management. Why Other Options Are Not Ideal: Option A: Lambda does not support GPU-based runtimes. Option B: AWS Fargate does not support GPU-based workloads. Option C: ECR is a container registry, not an orchestration or execution service.
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