Final Exam: Systems Architect

WHAT YOU WILL LEARN

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  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
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  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