The most important factors that the engineer should consider when advising the team on how MBSE methodology impacts the PLM solution are the spectrum of models the company uses across the system lifecycle, how model elements can be related to each other, and how theserelationships are supported by PLM tools. The spectrum of models refers to the different types, levels and views of models that are used to represent different aspects and phases of the system development, such as requirements, design, analysis, verification and validation. The relationships between model elements refer to the traceability, consistency and dependency links that connect different elements within and across models. The support by PLM tools refers to the ability of the tools to store, manage, access and integrate the models and their relationships throughout the system lifecycle. These factors are important because they affect how well the MBSE methodology can be implemented and executed using the PLM solution. How manufacturing, test and integration methods can be driven by system models is a less important factor that may not be relevant to all systems or projects. The high cost of maintaining modeling tools and modeling proficiency training is a less important factor that may not be specific to MBSE methodology or PLM solution. How well any proposed MBSE methodology interfaces with the company’s Model Driven Software Development methodology is a less important factor that may not apply to all systems or projects. How outputs of system models, software models, and hardware models are archived in Product Data Management (PDM) tools is a less important factor that may not reflect the full potential of MBSE methodology or PLM solution. References: OMG-Certified Systems Modeling Professional - Model Builder – Advanced (OCUP2-ADV) Examination Guide Version 1.0, Section 4.5