BMC Certified Professional Control-M 20.x for Schedulers Online Proctored Practice Exam

1. Introduction to Control-M 20.x • Overview of Control-M 20.x o What is Control-M and its role in workload automation o Key features and benefits of Control-M 20.x in enterprise scheduling and automation • Architecture of Control-M 20.x o Core components: Control-M Server, Control-M/Agent, and Control-M/Enterprise Manager o Communication flow between components and system architecture • Differences between Control-M 20.x and previous versions • Integration with other BMC solutions (e.g., BMC Helix, Remedy) • Control-M deployment models (on-premises, hybrid, cloud) 2. Control-M 20.x Architecture and Setup • Detailed architecture overview of Control-M 20.x o Control-M Server, Control-M/Agent, and Control-M/Enterprise Manager roles o Deployment considerations: sizing, redundancy, and scalability • Installing and configuring Control-M 20.x components o Installation prerequisites for each component o Installation of Control-M Server, Control-M Agent, and Control-M/Enterprise Manager o Configuring Control-M to manage multiple environments and platforms • Setting up the Control-M environment o Configuring user roles, permissions, and security o Initial configuration steps for control of schedules, jobs, and workflows 3. Control-M Job Scheduling and Management • Understanding Control-M job types o Batch jobs, file transfer jobs, database jobs, and script-based jobs o Defining job parameters and attributes for different job types • Creating, modifying, and managing jobs in Control-M o Using Control-M Desktop and Control-M Web for job creation o Best practices for job design, including job dependencies, conditions, and priorities • Managing job dependencies and relationships o Defining predecessor and successor relationships o Handling job dependencies using conditions (logical, file, or database conditions) • Job execution and monitoring o Scheduling jobs and specifying execution times o Monitoring jobs, viewing logs, and troubleshooting job execution failures • Advanced job management techniques o Job grouping, using job flows, and managing recurring jobs 4. Control-M Workflow Design • Introduction to Control-M workflows o What is a workflow, and why is it important in Control-M job scheduling? o Design and management of simple to complex workflows • Building and visualizing job flows in Control-M o Using Control-M/Enterprise Manager to visualize workflows o Managing multiple jobs and tasks within a single workflow • Designing and managing cross-platform job flows o Managing workflows across different operating systems (Windows, Linux, UNIX, z/OS) o Defining workflow conditions and failure handling • Best practices for optimizing job flow efficiency o Workflow design for maximum performance, scalability, and reliability 5. Advanced Control-M Features • Advanced scheduling options in Control-M o Time-based scheduling: using calendars, holidays, and advanced time triggers o Event-based scheduling: triggering jobs based on external events o Resource-based scheduling: managing job priorities based on available resources • Control-M Automation API and integrations o Integrating Control-M with external tools and systems using the Automation API o Using Control-M's RESTful API for job automation and management • Job monitoring and notification features o Configuring alerts and notifications based on job status or conditions o Creating custom notifications for failure, success, or progress alerts • Multi-tenancy management in Control-M o Managing multiple environments and clients within a single Control-M instance 6. Control-M for Distributed Systems • Managing distributed systems with Control-M o Understanding distributed job scheduling for a multi-platform environment o Configuring Control-M for cross-platform job execution (Windows, Linux, UNIX, etc.) • Handling job scheduling across hybrid cloud environments o Scheduling jobs in private and public cloud environments (AWS, Azure, Google Cloud) o Best practices for managing cloud-based jobs with Control-M • Configuring and managing Control-M/Agent for remote systems o Installing and configuring Control-M Agents on remote servers o Handling remote job execution and monitoring across different environments 7. Control-M for Mainframe Job Scheduling • Introduction to mainframe job scheduling with Control-M o Integrating Control-M with IBM z/OS mainframes o Scheduling and monitoring mainframe batch jobs with Control-M • Defining and managing mainframe jobs o Scheduling jobs on mainframe systems and ensuring compatibility with Control-M o Integrating mainframe job outputs and logs with Control-M's monitoring system • Best practices for managing mainframe job dependencies and scheduling o Synchronizing mainframe and distributed system jobs for seamless workflow management 8. Control-M Monitoring and Reporting • Job monitoring in Control-M o Real-time job monitoring and troubleshooting in Control-M Desktop and Web o Viewing logs, tracking job status, and taking corrective actions • Control-M reporting tools o Using Control-M Reporting and Analytics to generate job reports o Creating custom reports and scheduling automated report generation • Advanced reporting and alerting techniques o Configuring custom dashboards and views for job monitoring o Using Control-M alerts and notifications for proactive job management 9. Control-M Security and Administration • User management and access control in Control-M o Configuring user roles and permissions for job scheduling and management o Implementing security best practices for user access and authentication • Auditing and logging in Control-M o Using Control-M’s auditing features to track job execution, changes, and user actions o Maintaining an audit trail for compliance and troubleshooting purposes • Managing Control-M configurations and settings o System-wide configuration settings and environment variables o Backing up and restoring Control-M configuration data • Troubleshooting administrative issues in Control-M o Common issues in Control-M administration and their resolutions 10. Control-M High Availability and Disaster Recovery • High Availability (HA) configuration for Control-M o Setting up Control-M in a High Availability environment o Best practices for ensuring uptime and minimizing downtime • Disaster Recovery planning for Control-M o Backup strategies for Control-M Servers and Agents o Planning and executing disaster recovery drills o Restoring Control-M to operational status after a disaster • Managing failover and system recovery processes o Automated failover configuration for Control-M Server and Agents o Testing and validating disaster recovery setups 11. Control-M Optimization and Performance Tuning • Performance tuning for Control-M job scheduling o Identifying and eliminating performance bottlenecks in job execution o Optimizing job schedules for maximum system efficiency • Resource management and optimization o Managing system resources for peak performance during job execution o Adjusting job priorities, workloads, and resource allocation based on demand • System tuning for Control-M components o Tuning Control-M Server, Agents, and Enterprise Manager for optimal performance • Capacity planning for Control-M environments o Estimating and managing workload capacities and resource utilization 12. Control-M Troubleshooting and Support • Troubleshooting Control-M jobs and workflows o Common job issues and their resolution (e.g., failed jobs, dependency errors) o Using logs and diagnostic tools to resolve issues • Using Control-M diagnostics and troubleshooting utilities o Control-M diagnostic utilities for identifying and resolving errors • Collaborating with BMC Support for complex issues o Escalating issues and utilizing BMC’s support resources for advanced troubleshooting • Best practices for preventive maintenance and issue resolution