In a DevOps environment, continuous integration (CI) helps teams by:
- A. Deploying code only once a month
- B. Manually reviewing all code before merging
- C. Avoiding any code changes during development
- D. Automatically testing and merging code changes frequently
Which option best describes the role of CI?
Think about how teams keep their code working well together.
Continuous integration means developers merge code often, and automated tests run to catch problems early. This helps teams deliver updates faster and with fewer errors.
You want to automate your build, test, and deployment pipelines in Azure. Which service is designed specifically for this purpose?
Look for a service that helps with continuous integration and delivery.
Azure DevOps Pipelines is a service that automates building, testing, and deploying code, making it ideal for DevOps workflows.
Integrating security into DevOps (DevSecOps) in Azure helps by:
- A. Ignoring security until after deployment
- B. Automating security checks during development and deployment
- C. Removing all security controls to speed up delivery
- D. Only securing production environments
Which option correctly describes this benefit?
Think about how security can be part of the whole process, not just the end.
DevSecOps integrates security early by automating checks, reducing risks and fixing issues before deployment.
To manage infrastructure reliably and repeatably in Azure DevOps, you should:
- A. Use Infrastructure as Code (IaC) tools like Azure Resource Manager templates
- B. Manually configure servers each time
- C. Avoid version control for infrastructure settings
- D. Change infrastructure settings directly in the Azure portal without tracking
Which option is the best practice?
Think about how to keep infrastructure consistent and easy to reproduce.
Using IaC tools allows teams to define infrastructure in code, track changes, and deploy consistently, which is a key DevOps practice.
In Azure DevOps, if a deployment pipeline fails at the deployment stage, what is the typical behavior?
Consider how failures are handled to keep teams informed.
When a deployment fails, Azure DevOps stops the pipeline, marks it as failed, and can notify the team to fix issues before continuing.