Orchestration, Deployment, and Control Room Management
Moving bots to production
Deployment is the disciplined path from a tested bot to a scheduled, monitored production asset. Candidates must understand scheduling (one-time, recurring, event-triggered), device pools / bot runners, credential vaults, and versioning. Know how a bot is checked in, promoted across environments, and deployed to runners, and how queues feed work items to bots at scale.
Monitoring and operations
Understand real-time status, run history, audit logs, and how to pause, stop, and resume executions. Know how workload management distributes tasks across available runners and how failures surface for operator action. Be clear on how triggers start bots without manual intervention.
Common traps
Questions conflate scheduling with triggering - a schedule is time-based, a trigger is event-based. Another trap is assuming a deployed bot updates automatically when the source changes; promotion and redeployment are explicit steps. Watch for answers that store secrets in plain bot variables instead of the credential vault.
Rule of thumb
Treat deployment as a pipeline: build → test → check in → promote → deploy → monitor. Skipping a stage is the classic wrong answer.