Choose the best description of the main goal of risk monitoring in a DevOps environment.
Think about how risks change over time and what monitoring helps with.
Risk monitoring is about keeping an eye on known risks and spotting new ones as the project moves forward, so teams can respond quickly.
Given the command riskctl status --pipeline=deploy, what output indicates that no critical risks are currently active?
Look for a message that confirms no critical risks are present.
The output stating no critical risks and all checks passed means the pipeline is currently safe to proceed.
After identifying risks in a DevOps project, what is the next step to effectively control those risks?
Think about what you need to understand about risks before deciding how to handle them.
Risk analysis helps prioritize risks by understanding their potential impact and likelihood, guiding control actions.
Identify the most likely cause why a risk monitoring tool does not send alerts for a newly detected critical risk.
Consider how alerting systems depend on configuration to detect specific risks.
If alerting rules do not cover the new risk category, the tool will not trigger alerts for it.
Choose the best practice to ensure risk control is effective within an automated deployment pipeline.
Think about how automation can help prevent risky deployments.
Automated risk checks that can block deployment help catch issues early and prevent problems in production.