What are the capabilities of the Control-M Automation API for integrating with other systems and automating tasks?
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- How do you manage the scheduling and execution of software robots using Control-M?
- What are the best practices for maintaining and managing a Control-M environment?
- What are the capabilities of the Control-M Automation API for integrating with other systems and automating tasks?
- How do you use Control-M to manage resource pools and workload balancing? How do you create and use Control-M job templates?
- How can you use Control-M to manage jobs in a hybrid cloud environment? How can you use Control-M to automate the deployment and management of applications in containers?
- How do you use Control-M with Google Cloud Dataproc? How do you use Control-M to manage file transfers securely?
- How do you organize jobs and folders in Control-M? How do you use Control-M to implement a scheduling strategy?
- How do you rerun or recover failed Control-M jobs? How do you use Control-M variables and parameters in job definitions?
- How do you install a Control Module?
- How do you orchestrate workloads across different cloud providers using Control-M?
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