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Containers

5 minutes 5 Questions

Containers are a lightweight virtualization technology that allows applications and their dependencies to be bundled, isolated, and run consistently across various environments. Unlike traditional virtual machines (VMs), containers share the host's operating system (OS) kernel, which makes them mor…

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CompTIA Network+ - Containers Example Questions

Test your knowledge of Containers

Question 1

A developer is considering using a third-party base image for a container. What should be the first step to ensure security in the new container?

Correct Answer: Check the base image for security vulnerabilities

Checking the base image for security vulnerabilities is the first step to ensure security. Adding to a private registry, monitoring activity, and disabling ports/services may still lead to insecure containers. Creating a new base image or manual source code review do not guarantee security.

Question 2

A developer is experiencing performance issues with a containerized application, which requires higher memory limits during peak. What can be done to address this issue?

Correct Answer: Implement resource limits and auto-scaling in container settings

To address performance issues, it's best to set appropriate resource limits and auto-scaling for containers. Setting maximum limits or removing limits can cause resource contention. Disabling auto-scaling or combining containers can lead to inefficiency. Manually scaling VMs contradicts the purpose of containerization.

Question 3

A company wants to temporarily store confidential data in its containerized environment. What measure should be taken to ensure data security?

Correct Answer: Use encrypted secrets to store the temporary data

Using encrypted secrets is the best way to temporarily store confidential data in a containerized environment. Secrets provide a secure method to store sensitive information like passwords, API keys, and certificates. By encrypting the data, it ensures that even if unauthorized access is gained to the container, the confidential information remains protected. Storing data in environment variables or public repositories leaves it vulnerable to exposure, while implementing data sharing between containers may introduce additional security risks if not properly configured and secured.

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