Learning Path Exam
Please answer the questions below to complete the test.
Question 1
How do Meshery relationships function as policy?
Select one answer
They are documentation only
They encode allowed/required configurations that validation enforces
They store container images
They are GPU scheduling hints
Question 2
What is OPA used for in policy as code?
Select one answer
Open Policy Agent evaluates policy-as-code rules against inputs
It builds container images
It is a load generator
It is a logging backend
Question 3
What should happen when an AI-generated design fails policy validation?
Select one answer
Deploy anyway and note it later
Fail closed - block the deploy and surface the violation
Disable policy and retry
Delete the namespace
Question 4
Where should secrets used by agents live?
Select one answer
Pasted into the prompt for convenience
In Kubernetes Secrets or an external secret store
Hard-coded in the design YAML
In a public Git repo
Question 5
Which practices strengthen the supply chain for AI-generated infrastructure? (Select all that apply.)
Select all that apply
Pin image digests/versions
Scan manifests and images
Human review before trust
Trust generated output blindly
Question 6
Name one concrete guardrail that keeps an AI hallucination from reaching production.
Type your answer below
Question 7
Why label AI-created resources (for example, managed-by: ai-agent)?
Select one answer
It improves model accuracy
It makes them discoverable for audit, cost, and cleanup
It is required by YAML
It speeds up scheduling
Question 8
Who is accountable for an AI-driven infrastructure change?
Select one answer
The model vendor
A human owner who reviews and approves
No one
The CI runner
Question 9
Which Meshery capability detects drift between desired and actual cluster state?
Type your answer below
Question 10
What makes good compliance evidence for AI-driven changes? (Select all that apply.)
Select all that apply
Git history of authored/approved changes
Validation and policy-check results
Deploy records and MeshSync observations
A verbal assurance that it is fine
close