Question

Difficulty: MediumAWS Compute Services

A research institution is deploying an application that performs complex simulations. The application must run on a customized Linux kernel configuration and requires administrative root-level access to configure local storage drives. Which AWS compute service should the institution select to meet these requirements?

  1. A
    AWS Lambda
  2. Amazon Elastic Compute Cloud (Amazon EC2)Answer
  3. C
    AWS Fargate
  4. D
    Amazon Lightsail

Answer

Amazon Elastic Compute Cloud (Amazon EC2)
Amazon Elastic Compute Cloud (Amazon EC2) provides resizable virtual servers (instances) in the cloud. It grants the user complete administrative control, which includes root-level access to the operating system, the capability to customize the kernel configuration, and direct management of attached storage volumes.

Step-by-Step Solution

1
Identify the workload requirements: the application needs customized Linux kernel configurations and root-level administrative access to configure local storage drives.
The application requires a compute service that offers full administrative control over the operating system and virtual hardware.
This determines the required level of control and responsibility under the AWS Shared Responsibility Model.
2
Evaluate the management and control levels of AWS compute options (Lambda, Fargate, Lightsail, EC2).
Serverless options like Lambda and Fargate manage and abstract the OS. Lightsail offers simplified virtual servers but restricts advanced OS/kernel configurations. Only Amazon EC2 offers complete root-level control.
Matching workload needs to the appropriate management tier ensures all technical prerequisites are met.
3
Select the service that allows custom OS and kernel settings.
Amazon EC2 is selected as the correct compute service.
Amazon EC2 provides virtual servers where the user is responsible for managing the operating system, including kernel modifications.

Key Concept

Levels of control and management across AWS compute services
Estimated Time:1m 0s
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