Regulatory data retention requirements drive the need to keep data for set periods for:
Answer(s): B
Regulatory data retention requirements are primarily driven by legal obligations. Organizations are required to retain specific data for a set period of time to comply with laws, regulations, and industry standards. These regulations ensure that organizations can produce necessary data when required for audits, investigations, or legal proceedings.
A goal of data modelling is to confirm and document understanding of different perspectives. This frequently leads to:
Answer(s): C
A goal of data modeling is to confirm and document understanding of different perspectives, which helps ensure that applications are designed to meet the current and future business requirements. By accurately modeling data, organizations can ensure that their applications align with the needs of the business, enabling more efficient processes, better decision-making, and scalability for future growth.
What are the types of models that are modelled in data models?
Answer(s): E
Data models typically include various types of information, such as resource information, business event information, category information, and detail transaction information. These elements help represent the different aspects of the data landscape and ensure that the data is structured in a way that supports both business processes and technical requirements. Each type of information provides specific insights into how data should be organized, related, and utilized.
Which Data Architecture artefact contains the names of key business entities, their relationships, critical guiding business rules and critical attributes?
Answer(s): A
The Enterprise Data Model contains the names of key business entities, their relationships, critical guiding business rules, and critical attributes. It serves as a high-level representation of the organization's data, ensuring alignment between business needs and data architecture by defining key concepts and their interrelationships across the enterprise.
What types of data models can be used to jumpstart the process of developing an Enterprise Data Model?
Answer(s): D
Industry Standard Models can be used to jumpstart the process of developing an Enterprise Data Model.These models provide established structures and best practices based on the common needs and requirements within specific industries, helping to ensure consistency, standardization, and alignment with industry norms. They serve as a solid foundation for building a comprehensive and effective enterprise data model.
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