BMC Certified Associate: Control-M 20.x for Automation API Developers Online Exam

Duration: Hours

Training Mode: Online

Description

Introduction

The BMC Certified Associate: Control-M 20.x for Automation API Developers Online Exam is designed for professionals who wish to demonstrate their proficiency in developing automation solutions using the Control-M Automation API. This certification focuses on using Control-M’s REST API to automate workflows, integrate with external applications, and optimize job scheduling within the Control-M environment. Achieving this certification will validate your skills in leveraging automation for job management and system integration.

Prerequisites

To successfully complete the BMC Certified Associate: Control-M 20.x for Automation API Developers exam, it is recommended that you have:

  • Basic understanding of Control-M concepts, job scheduling, and workflows.
  • Familiarity with Control-M 20.x components such as Control-M/Enterprise Manager, Control-M/Agent, and Control-M/Server.
  • Experience with REST APIs and web services.
  • Proficiency in scripting and programming languages (e.g., Python, JavaScript, etc.) used for interacting with APIs.
  • Hands-on experience in automating tasks using Control-M’s REST API.
  • Basic knowledge of security concepts related to API access and user roles in Control-M.

Table of contents

  1. Introduction to Control-M 20.x for Automation API Developers
    1.1 Overview of Control-M Automation API
    1.2 Key Features and Capabilities of the API
    1.3 Understanding the Control-M Architecture for API Access
    1.4 Using Control-M/Enterprise Manager API Endpoints
  2. Setting Up and Configuring the Control-M API
    2.1 Authentication and Authorization for API Access
    2.2 Setting Up API Access and API Keys
    2.3 Configuring Control-M API Client Tools
    2.4 Testing and Verifying API Connections
  3. Working with Control-M API Endpoints
    3.1 Job Management Using the API
    3.2 Automating Job Submissions and Monitoring with API
    3.3 Managing Control-M/Agent and Control-M/Server Using the API
    3.4 Working with Job Dependencies and Schedules via API
  4. Advanced Features
    4.1 Advanced Job Scheduling Automation
    4.2 Using the API for Dynamic Job Group Management
    4.3 Automating Resource Management and Allocation
    4.4 Control-M API for Integrating with External Systems
  5. Error Handling and Troubleshooting with Control-M API
    5.1 Common API Errors and Responses
    5.2 Debugging API Requests and Responses
    5.3 Handling API Failures and Retries
    5.4 Logging and Monitoring API Calls for Errors
  6. Security and Best Practices in API Development
    6.1 Securing API Requests and Responses
    6.2 Role-Based Access Control and Permissions
    6.3 Best Practices for API Usage and Optimization
    6.4 Protecting Sensitive Data in API Transactions
  7. Use Cases and Automation Scenarios
    7.1 Automating Common Control-M Tasks via API
    7.2 Integrating Control-M with Third-Party Applications
    7.3 Use Case: Building Custom Job Monitoring Systems
    7.4 Use Case: Integrating Control-M API with CI/CD Pipelines
  8. Exam Preparation and Resources
    8.1 Key Topics to Focus on for Exam Success
    8.2 Sample Questions and Hands-On Labs(Ref: BMC Certified Associate: Control-M 9.0.19.x for Automation API Developers Online Exam)
    8.3 Recommended Study Resources and Documentation
    8.4 Tips for Acing the Exam
  9. Conclusion
    9.1 Review of Key Concepts for API Automation
    9.2 Next Steps After the Certification
    9.3 Career Pathways and Opportunities for API Developers

Conclusion

This course certification prepares you to efficiently automate tasks and integrate Control-M with other systems using its powerful REST API. After completing the exam, you will be equipped with the knowledge to automate job scheduling, resource management, and other essential workflows within Control-M. This certification can help you streamline business processes, improve automation capabilities, and enhance your career opportunities in IT automation and workload management.

Reference

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