Final Exam: Systems Architect

Intermediate
  • 1 video | 32s
  • Includes Assessment
  • Earns a Badge
Final Exam: Systems Architect will test your knowledge and application of the topics presented throughout the Systems Architect track.

WHAT YOU WILL LEARN

  • Define safety and reliability of systems and their relationship to risk in the system life cycle
    identify tools for assessing and managing system risk
    identify techniques for analyzing system reliability
    recognize the importance of communicating risk to stakeholders
    outline the role of verification and validation in ensuring quality, reliability, and safety
    recognize the purposes of validation and verification and how they complement each other in the systems development process
    provide an overview of continuous verification throughout a system life cycle, emphasizing the importance of adapting to changing requirements and conditions
    outline how to analyze validation and verification results, interpret findings, and generate comprehensive reports
    recognize the ethical implications of system failures due to inadequate validation and verification
    provide an overview of common validation errors, methods for mitigating system failure, and why validation fails
    outline key performance indicators (kpis), kpi categories, kpi metrics, and examples of process-specific, system-based, and project-based kpis
    recognize how performance measurements are used to assess systems engineering performance
    identify key aspects of project outputs used in systems
    outline how kpis influence decision-making and how to hone kpis for better decision-making
    identify goals and best practices of reporting performance measurements and various report types
    provide an overview of principles and methodologies in system architecture and design
    outline the role of systems architecture
    describe various types of architecture
    describe trade-offs during system architecture design
    describe key system architecture design capabilities
    outline methods for integrating and interfacing different subsystems within a complex system
    outline the principles of system optimization in the context of systems engineering
    use mathematical modeling techniques to optimize system performance
    describe trade-offs between different system parameters and design choices
    provide an overview of decision analysis models and how they can be used to evaluate and select the most optimal system configurations
    outline the impact of resource constraints and limitations on system optimization
    outline the importance of system operation and maintenance in ensuring system reliability and performance
    recognize key considerations for effective systems operations and maintenance planning
  • recognize key considerations for the change management process in engineering
    outline system changes as it relates to scope, communication, and stakeholders
    provide an overview of risk management when dealing with system changes and disruptions
    identify the challenges and considerations associated with system upgrades, patches, and maintenance activities
    provide an overview of the fundamental principles and benefits of model-based systems engineering (mbse)
    outline considerations for system model creation using standardized modeling languages and tools
    demonstrate how to create a basic system model using a standardized modeling language
    describe how mbse facilitates the capture of system requirements, behavior, and structure in models
    discuss how mbse relates to the system development life cycle (sdlc)
    outline the role of traceability in mbse
    describe popular tools used in mbse
    discuss challenges and best practices in implementing mbse in real-world projects
    provide an overview of sparx enterprise architect software, its purpose, and uses
    outline key features of sparx ea software
    provided an overview of sysml and the transition to sparx
    describe how to install and navigate sparx ea
    demonstrate how to build a model using sparx ea
    provide an overview of relationships and dependencies in sparx ea, including tracing relationships and dynamic relationships
    demonstrate how to create relationships and dependencies using sparx ea
    outline simulation and behavior, dynamic model simulation, and business process modeling and behavior capabilities in sparx ea
    provide an overview of concurrent engineering and its principles
    outline key benefits of concurrent engineering
    describe common challenges associated with concurrent engineering
    provide an overview of stakeholder engagement in concurrent engineering
    outline key considerations for conflict management in collaborative environments
    identify how collaborative engineering environments can be improved upon using tools and techniques to improve the overall team effort
    provide an overview of communication methods in concurrent engineering environments

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