This browser is no longer supported.
Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.
Which type of memory is considered the most reliable source of truth in agent workflows?
Short-term memory stored in prompts.
Long-term memory stored in cached responses.
External memory stored in GitHub artifacts such as issues and pull requests.
Logs that are automatically deleted after execution.
What is the primary role of a pull request in agent workflows?
To automatically deploy changes to production.
To act as a central place to track progress, decisions, and validation results.
To store workflow logs permanently.
To replace issues as the source of requirements.
What is context drift in agent workflows?
When workflows exceed their execution time.
When the agent’s actions no longer align with the original goal or prior decisions.
When logs are deleted after retention expires.
When a branch is merged into the default branch.
Which GitHub feature ensures validation must pass before merging changes?
Workflow logs.
Required status checks.
Issue comments.
Commit messages.
Which GitHub artifacts are most useful for analyzing agent failures?
Workflow logs, workflow runs, and pull requests.
Repository stars and watchers.
Branch names only.
Issue labels.
How can agent behavior be improved after identifying a failure?
By rerunning the workflow without changes.
By adjusting prompts, memory structure, or workflow configuration.
By deleting the pull request.
By ignoring the failure.
You must answer all questions before checking your work.
Was this page helpful?
Need help with this topic?
Want to try using Ask Learn to clarify or guide you through this topic?