Agent Version Management: Coordinated Updates

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-agentic-agent-version-management-creators

1. Which four components should be managed together as a coordinated version bundle in an AI agent?

   1. Only the model and prompts
   2. The model, prompts, tools, and integrations
   3. The model, database, API, and user interface
   4. Only the tools and integrations

2. Why is it risky to update just one component of an agent in production without updating the others?

   1. Only the model can cause compatibility issues, not prompts or tools
   2. Updating fewer components reduces system security
   3. The updated component may become incompatible with the versions of other components
   4. Production updates are always safe regardless of component combinations

3. What must happen to a complete agent bundle before any production update?

   1. Skip testing if the update only affects one component
   2. Test the entire bundle together to verify all components work correctly
   3. Test each component individually to ensure they work alone
   4. Deploy to a small percentage of users first, then test

4. What is required for a rollback to successfully restore an agent after a failed update?

   1. A manual backup of all files is sufficient
   2. The entire bundle must be versioned so it can be restored to a known-good state
   3. Rollback is not possible with automated systems
   4. Rollback only requires reverting the model version

5. What is the primary purpose of documenting bundle composition?

   1. To provide documentation for end users
   2. To enable effective debugging when issues arise in production
   3. To reduce the file size of the bundle
   4. To meet compliance requirements for government regulations

6. A team wants to update just the tool version in their production agent. Why is this dangerous?

   1. The new tool may use features or parameters that the existing prompts do not support
   2. Updating tools requires no testing because they are independent of the model
   3. The production system will automatically adjust the prompts to match
   4. Tools cannot cause problems because they are just utilities

7. Why cannot version control alone guarantee that an agent update will work in production?

   1. Version control tracks changes but does not verify that the components work together
   2. Version control automatically fixes all compatibility issues
   3. Components never interact with each other
   4. Production environments exactly match testing environments

8. What does a proper rollback mechanism enable an engineering team to do?

   1. Revert the entire agent to a previous known-working bundle state
   2. Roll back only the model while keeping new prompts
   3. Restore from a backup taken after the update
   4. Delete only the problematic code and keep the rest

9. What governance practice helps prevent problematic agent bundle updates from reaching production?

   1. Requiring review and approval of bundle changes before deployment
   2. Skipping governance for urgent security patches
   3. Allowing any team member to deploy changes immediately
   4. Deploying first and then reviewing if issues occur

10. In a proper deployment workflow, what should happen after a bundle passes testing?

    1. Deployment is delayed indefinitely until all possible tests are completed
    2. Each component is deployed separately based on individual test results
    3. The bundle is deployed but components are activated gradually over time
    4. The tested bundle is deployed as a single unit to production

11. What risk exists if integration testing is skipped in favor of only unit testing components?

    1. Production environments will automatically fix any issues found
    2. Hidden incompatibilities between components will only appear in production
    3. Unit testing is actually more thorough than integration testing
    4. There is no risk; unit testing is sufficient

12. Why should an agent's model, prompts, tools, and integrations share a common version identifier?

    1. It is required by cloud hosting providers
    2. It makes the agent run faster
    3. It ensures they can be rolled back together as a single coherent unit
    4. It allows each component to be updated independently

13. A team deploys a new bundle version but users report errors. What is the first recovery step?

    1. Deploy an emergency update to just the model
    2. Ask users to clear their cache and try again
    3. Roll back to the previous known-good bundle version
    4. Wait to see if the errors resolve on their own

14. What is the main advantage of coordinated version management over independent component updates?

    1. It reduces the need for testing because each component is validated separately
    2. It allows faster deployments since components are independent
    3. It prevents partial-update surprises by ensuring all components are compatible
    4. It eliminates the need for any documentation

15. What should be included in bundle documentation to aid future debugging?

    1. The specific versions of model, prompts, tools, and integrations in the bundle
    2. Marketing materials about the agent's capabilities
    3. General descriptions of how AI works
    4. A list of all possible features the agent could ever use