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
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Define safety and reliability of systems and their relationship to risk in the system life cycleidentify tools for assessing and managing system riskidentify techniques for analyzing system reliabilityrecognize the importance of communicating risk to stakeholdersoutline the role of verification and validation in ensuring quality, reliability, and safetyrecognize the purposes of validation and verification and how they complement each other in the systems development processprovide an overview of continuous verification throughout a system life cycle, emphasizing the importance of adapting to changing requirements and conditionsoutline how to analyze validation and verification results, interpret findings, and generate comprehensive reportsrecognize the ethical implications of system failures due to inadequate validation and verificationprovide an overview of common validation errors, methods for mitigating system failure, and why validation failsoutline key performance indicators (kpis), kpi categories, kpi metrics, and examples of process-specific, system-based, and project-based kpisrecognize how performance measurements are used to assess systems engineering performanceidentify key aspects of project outputs used in systemsoutline how kpis influence decision-making and how to hone kpis for better decision-makingidentify goals and best practices of reporting performance measurements and various report typesprovide an overview of principles and methodologies in system architecture and designoutline the role of systems architecturedescribe various types of architecturedescribe trade-offs during system architecture designdescribe key system architecture design capabilitiesoutline methods for integrating and interfacing different subsystems within a complex systemoutline the principles of system optimization in the context of systems engineeringuse mathematical modeling techniques to optimize system performancedescribe trade-offs between different system parameters and design choicesprovide an overview of decision analysis models and how they can be used to evaluate and select the most optimal system configurationsoutline the impact of resource constraints and limitations on system optimizationoutline the importance of system operation and maintenance in ensuring system reliability and performancerecognize key considerations for effective systems operations and maintenance planning
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recognize key considerations for the change management process in engineeringoutline system changes as it relates to scope, communication, and stakeholdersprovide an overview of risk management when dealing with system changes and disruptionsidentify the challenges and considerations associated with system upgrades, patches, and maintenance activitiesprovide 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 toolsdemonstrate how to create a basic system model using a standardized modeling languagedescribe how mbse facilitates the capture of system requirements, behavior, and structure in modelsdiscuss how mbse relates to the system development life cycle (sdlc)outline the role of traceability in mbsedescribe popular tools used in mbsediscuss challenges and best practices in implementing mbse in real-world projectsprovide an overview of sparx enterprise architect software, its purpose, and usesoutline key features of sparx ea softwareprovided an overview of sysml and the transition to sparxdescribe how to install and navigate sparx eademonstrate how to build a model using sparx eaprovide an overview of relationships and dependencies in sparx ea, including tracing relationships and dynamic relationshipsdemonstrate how to create relationships and dependencies using sparx eaoutline simulation and behavior, dynamic model simulation, and business process modeling and behavior capabilities in sparx eaprovide an overview of concurrent engineering and its principlesoutline key benefits of concurrent engineeringdescribe common challenges associated with concurrent engineeringprovide an overview of stakeholder engagement in concurrent engineeringoutline key considerations for conflict management in collaborative environmentsidentify how collaborative engineering environments can be improved upon using tools and techniques to improve the overall team effortprovide an overview of communication methods in concurrent engineering environments
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