Data Science Model Deployments and Cloud Computing on GCP - CI/CD

The video tutorial covers CICD, focusing on continuous integration and the automated building and testing of applications. It explains the developer workflow, from committing code to a repository to moving it through various environments like development, testing, staging, and production. The importance of setting up environments that emulate production is highlighted, ensuring consistency across different stages. The tutorial also discusses testing methods and deployment strategies, emphasizing the goal of DevOps to shorten the development cycle and improve integration efficiency.

What is the primary goal of Continuous Integration in the CI/CD process?

• To automate the building and testing of applications with each commit

• To manually test code before deployment

• To deploy code directly to production without testing

• To merge code once a month

Which of the following is NOT one of the environments mentioned in the CI/CD process?

• Debugging

• Staging

• Development

• Testing

Why is it important for CI/CD environments to emulate the production environment?

• To increase the complexity of the deployment process

• To ensure code runs smoothly in production

• To save costs on infrastructure

• To allow developers to work on different operating systems

What is a staging area in the CI/CD process?

• A backup environment for old code versions

• An area close to production for final checks

• A testing environment for user feedback

• An environment for initial code development

What is the ultimate goal of DevOps in the context of CI/CD?

• To increase the time between code commits and production

• To focus solely on manual code reviews

• To shorten the development cycle and resolve issues quickly

• To eliminate the need for automated testing