Question 1

To optimize their Docker image for a Python-based web application, a developer decides to use a multi-stage build process. What is the primary reason for using multi-stage builds in this context?

Options :

A : To compile Python code into a binary format for faster execution

B : To separate the build environment from the runtime environment, reducing the final image size

C : To create separate containers for development, testing, and production environments

D : To install multiple versions of Python side by side for compatibility testing

Answer: B

Question 2

A cloud infrastructure team is planning to automate the provisioning and management of their AWS resources to enhance efficiency and consistency across environments. They want to adopt a GitOps approach that aligns with best practices for infrastructure as code (IaC). Which combination of tools and practices should they implement?

Options :

A : Manually create resources using the AWS Management Console and document configurations in a shared spreadsheet

B : Use AWS CloudFormation templates to define infrastructure, store these templates in a Git repository, and apply changes through automated CI/CD pipelines

C : Write bash scripts for resource provisioning, execute them locally on an administrator-s machine, and commit the script outputs to a Git repository

D : Employ AWS CLI commands in ad-hoc fashion for infrastructure changes, with periodic manual commits of the state to a Git repository

Answer: B

Question 3

A DevOps team is managing a fleet of servers across multiple data centers using a GitOps workflow. They want to ensure that any script executed for maintenance tasks is done so consistently and that the output from each server is captured for audit purposes. Which tool or approach would best fit this requirement within a GitOps framework?

Options :

A : Manual execution of scripts via SSH and manual logging of the output on a shared document

B : Use of a centralized configuration management tool like Ansible, with scripts and their execution policies stored in a Git repository and outputs logged to a centralized logging system

C : Sending scripts via email to data center administrators and asking them to run the scripts and reply with the output

D : Utilizing custom bash scripts that are manually copied to each server and executed, with outputs emailed back to the DevOps team

Answer: B

Question 4

A system administrator is tasked with creating a virtual machine (VM) to host a new application that is sensitive to network latency. The VM will be deployed in a cloud environment. Which factor is most important to consider when selecting the location for the VM deployment?

Options :

A : The cost of the VM instance per hour

B : The physical proximity to the application-s end-users

C : The storage capacity available on the VM

D : The operating system options offered by the cloud provider

Answer: B

Question 5

A company is adopting GitOps practices for their cloud infrastructure management. They are deciding on a change management model that enables rapid deployment while ensuring that each change is reviewed and approved by a designated authority. Which model best fits these requirements?

Options :

A : Ad-hoc model, where changes are applied directly in production without formal reviews

B : Centralized model, where a central team is responsible for reviewing and applying all changes

C : Trunk-based development model, where developers commit changes directly to the main branch without review

D : Pull request (PR) model, where changes are proposed, reviewed, and approved through pull requests before being merged into the production environment

Answer: D

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