Module assessment

1.

Which property distinguishes an agentic AI capability from traditional DevOps automation?

It executes a deterministic script without requiring human input.

It observes intermediate results and adapts its plan to reach a defined goal.

It can only suggest actions without executing them.

2.

A DevOps engineer wants to use agentic capabilities to assign incoming bugs to the correct team and area path automatically. Which autonomy level is most appropriate for this task?

Suggest only, because any modification to work items requires human authorization.

Execute autonomously, because the task is high-frequency, reversible, and has no meaningful blast radius.

Inform only, because agents should never interact with project management data.

3.

Which of the following DevOps operations must always retain a mandatory human authorization step regardless of agent maturity?

Generating a pull request description for an infrastructure change.

Creating RBAC (Role Based Access Control) role assignments in a production Azure subscription.

Summarizing the previous week's pipeline failure history.

4.

A platform team is designing their agentic DevOps deployment. They want to allow agents to generate and validate Bicep templates but require human review before applying changes to nonproduction environments. Which autonomy level does this describe?

Inform

Execute autonomously

Execute on approval

5.

What is the primary reason to implement audit logging for agent-initiated Azure resource operations from the start of an agentic DevOps pilot?

To prevent agents from making any changes to Azure resources during the pilot period.

To create the compliance baseline and feedback mechanism needed to responsibly expand agent autonomy over time.

To ensure that all agent actions are reviewed by a security team before they take effect.

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