


How do you define different types of Control-M jobs (e.g., command, script, file transfer)? How do you set up job dependencies and control flow in Control-M?
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what is control m
- How do you automate the end-to-end lifecycle of AI/ML models using Control-M?
- How do you configure a Control Module? What are some examples of Control Modules?
- How do you invoke and manage APIs using Control-M?
- What are common causes of performance problems in Control-M?
- What are Control-M parameters and variables and how are they used?
- What role does containerization and orchestration play in the evolution of Control-M? How is the increasing complexity of IT environments driving the need for advanced workload automation tools like Control-M?
- How do you monitor the performance of big data analytics jobs with Control-M? How do you integrate Control-M with big data platforms like Cloudera or Hortonworks?
- What information should you look at to diagnose a failed Control-M job? How do you use Control-M logs to troubleshoot issues?
- How can you use Control-M to audit and track job execution history?
- How do you use Control-M Forecast to predict job completion times? How do you identify potential bottlenecks in Control-M?
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