Course Test
Please answer the questions below to complete the test.
Question 1
What are the four phases of the closed-loop remediation pattern, in correct order?
Select one answer
Decide, detect, act, verify
Detect, decide, act, verify
Detect, act, decide, verify
Detect, decide, verify, act
Question 2
Which of the following best describes why agent-driven remediation adds value beyond Kubernetes' built-in self-healing?
Select one answer
Agents restart pods faster than the kubelet restart policy
Agents can correlate signals across multiple services and apply runbook reasoning to produce targeted remediation proposals
Agents bypass approval gates to resolve incidents more quickly
Agents replace the HorizontalPodAutoscaler for scaling decisions
Question 3
A remediation proposal must include which of the following to satisfy the approval gate requirements described in this course?
Select all that apply
Root cause summary
Rollback command
The full cluster event log
Risk tier classification
Question 4
What is the correct mesheryctl command to import the policy guardrails design used in the approval gate workflow?
Select one answer
mesheryctl design apply -f designs/policy-guardrails.yaml
mesheryctl design import -f designs/policy-guardrails.yaml -s "Kubernetes Manifest"
mesheryctl system apply -f designs/policy-guardrails.yaml
mesheryctl design import designs/policy-guardrails.yaml
Question 5
Which metric measures whether agents are triggering remediations on conditions that would have resolved on their own?
Select one answer
Remediation success rate
Mean time to recover (MTTR)
False-positive rate
Rollback rate
Question 6
According to the autonomy expansion model in this course, which tier of remediation action should ALWAYS require human approval regardless of autonomy stage?
Select one answer
Low-risk actions like restarting a stateless pod
Medium-risk actions like changing a ConfigMap
High-risk actions like deleting a PersistentVolumeClaim
Critical-tier actions like modifying RBAC or network policies
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