How do you orchestrate RPA bots using Control-M?
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what is control m
- How do you configure a Control Module? What are some examples of Control Modules?
- How do you monitor the progress of data pipelines in Control-M? How do you handle data quality issues in Control-M?
- How do you monitor the execution of serverless workflows with Control-M? How do you use Control-M for data pipeline orchestration?
- How do you manage Control-M licenses? What is a Control-M Control Module (CM)?
- How do you ensure the reliability and scalability of ML pipelines with Control-M? How do you integrate Control-M with MLOps platforms like MLflow or Kubeflow?
- How do you generate and customize Control-M reports? How do you perform workload simulation and testing in Control-M?
- How do you define resource pools and quotas in Control-M?
- What are some strategies for effectively training and onboarding new users to Control-M? How can you build a strong team of Control-M experts within your organization?
- What information should you look at to diagnose a failed Control-M job? How do you use Control-M logs to troubleshoot issues?
- How do you use the Control-M Web interface?
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