[02/Connecticut/05]
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Questions and Answers

Which type of model is supported by Flow.BI?

  • Logical Model
  • Physical Model
  • Conceptual Model
  • Data Vault 2.0 (correct)

What does the Physical Model represent in Flow.BI?

  • Relationships between concepts
  • Actual implementation for Synapse, Snowflake, etc. (correct)
  • Conceptual Model Concepts
  • Business Keys

What is not done by Flow.BI in relation to Satellite splits?

  • Data Vault 2.0 (correct)
  • Privacy
  • Security
  • Rate of Change splits

True or false: Flow.BI supports both Data Vault 2.0 Logical Model and Physical Model?

<p>False (B)</p> Signup and view all the answers

True or false: Flow.BI supports Satellite splits in the Physical Model?

<p>False (B)</p> Signup and view all the answers

True or false: Flow.BI supports implementation for Synapse and Snowflake?

<p>True (A)</p> Signup and view all the answers

Match the following Flow.BI model types with their corresponding descriptions:

<p>Conceptual Model = Represents the high-level concepts and their relationships in a business context Logical Model = Represents the structure of the data in a business context, including hubs, links, satellites, etc. Physical Model = Represents the actual implementation for specific platforms, such as Synapse and Snowflake Satellite splits = A feature not supported by Flow.BI in the Physical Model</p> Signup and view all the answers

Match the following Flow.BI models with their level of detail:

<p>Conceptual Model = High-level, focusing on business concepts and their relationships Logical Model = More detailed than the Conceptual Model, includes data structure and relationships Physical Model = The most detailed model, represents the actual implementation for specific platforms Satellite splits = Not a model, but a feature not supported by Flow.BI</p> Signup and view all the answers

Match the following Flow.BI models with their corresponding features:

<p>Conceptual Model = Includes business concepts and their relationships Logical Model = Includes hubs, links, satellites, and their relationships Physical Model = Includes the actual implementation for specific platforms Satellite splits = Not a feature supported by Flow.BI in the Physical Model</p> Signup and view all the answers

Match the following data modeling techniques with their descriptions:

<p>Entity-Relationship Diagrams (ERDs) = A graphical representation of the entities and their relationships in a database Object-Role Modeling (ORM) = A conceptual modeling language for capturing the structure and semantics of an organization Conceptual Data Model = A high-level, abstract representation of the data that an organization uses or intends to use in its business operations Physical Data Model = A detailed representation of how data is stored in a database</p> Signup and view all the answers

Match the following stakeholders with their roles in creating a conceptual data model:

<p>Business Analysts = Responsible for identifying the business requirements Data Modelers = Responsible for creating the data model Subject Matter Experts = Provide domain-specific knowledge IT Professionals = Provide technical expertise</p> Signup and view all the answers

Match the following purposes with their descriptions in the context of conceptual data models:

<p>Communicating data requirements to stakeholders = Ensuring that all stakeholders have a shared understanding of the data needs Identifying and documenting data entities and relationships = Capturing the key concepts and their interconnections Designing new data systems = Using the model as a blueprint for building new data systems Improving existing data systems = Analyzing the model to identify areas for optimization</p> Signup and view all the answers

Match the following steps with their descriptions in the process of creating a conceptual data model:

<p>Identify the business requirements = Determining what data the organization needs to collect, store, and use Identify the data entities = Identifying the key concepts or things that the organization needs to track Identify the relationships between the data entities = Understanding how the data entities are related to each other Create a conceptual data model using a data modeling technique = Building the model using a specific methodology or tool</p> Signup and view all the answers

Match the following models with their levels of detail:

<p>Conceptual Data Model = High-level representation without technical details Logical Data Model = Detailed representation of the data requirements without implementation specifics Physical Data Model = Detailed representation of how data is stored in a database</p> Signup and view all the answers

Match the following terms with their definitions in the context of data modeling:

<p>Data Entity = A person, place, thing, or event about which data can be collected Data Model = A representation of the data structures and relationships in a database Data Requirement = A specific piece of data that is needed by an organization Data System = A collection of data, processes, and people that work together to achieve a specific goal</p> Signup and view all the answers

Match the following data modeling techniques with their primary usage:

<p>Entity-Relationship Diagrams (ERDs) = Visualizing the relationships between entities in a database Object-Role Modeling (ORM) = Capturing the structure and semantics of an organization UML Class Diagrams = Modeling the structure of a system or application Data Flow Diagrams (DFDs) = Describing the flow of data within a system</p> Signup and view all the answers

Match the following stakeholders with their roles in the data modeling process:

<p>Business Users = Provide input on the data requirements and use the resulting models Data Architects = Responsible for designing and maintaining the data models Data Stewards = Ensure that data is accurate, consistent, and secure System Developers = Implement the data models in software systems</p> Signup and view all the answers

Match the following models with their purposes in the data management process:

<p>Conceptual Data Model = Provides a big-picture view of an organization's data requirements Logical Data Model = Defines the structure and relationships of the data without considering the physical implementation Physical Data Model = Describes how the data is actually stored in a database system</p> Signup and view all the answers

Match the following data modeling techniques with their primary goals:

<p>Entity-Relationship Diagrams (ERDs) = To represent the conceptual and semantic aspects of a system Object-Role Modeling (ORM) = To capture the structure and semantics of an organization UML Class Diagrams = To visualize the structure of a system or application Data Flow Diagrams (DFDs) = To represent the flow of data within a system</p> Signup and view all the answers

Which of the following best describes a conceptual data model?

<p>A high-level, abstract representation of an organization's data requirements (C)</p> Signup and view all the answers

Who typically creates conceptual data models?

<p>Business analysts and data modelers (B)</p> Signup and view all the answers

What is the goal of a conceptual data model?

<p>To capture the essential concepts of a business or organization (C)</p> Signup and view all the answers

Which of the following is NOT a purpose of a conceptual data model?

<p>Detailing technical specifications of data storage (D)</p> Signup and view all the answers

What are some tips for creating a conceptual data model?

<p>Focus on business requirements (D)</p> Signup and view all the answers

Which data modeling techniques can be used to create a conceptual data model?

<p>Entity-relationship diagrams (ERDs) and object-role modeling (ORM) (B)</p> Signup and view all the answers

What is the level of detail in a conceptual data model?

<p>Moderate level of detail, capturing essential concepts (C)</p> Signup and view all the answers

What is the role of a conceptual data model in the data management process?

<p>To ensure efficient and effective data management (A)</p> Signup and view all the answers

What is the starting point for developing more detailed data models?

<p>Conceptual data models (A)</p> Signup and view all the answers

Who collaborates with business analysts and data modelers in creating a conceptual data model?

<p>Subject matter experts and IT professionals (B)</p> Signup and view all the answers

True or false: A conceptual data model is a detailed representation of the technical aspects of data storage and manipulation.

<p>False (B)</p> Signup and view all the answers

True or false: Conceptual data models are typically created by IT professionals.

<p>False (B)</p> Signup and view all the answers

True or false: Conceptual data models provide a big-picture view of an organization's data requirements.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models are used as a starting point for developing more detailed data models.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models are created by business analysts and data modelers in collaboration with stakeholders.

<p>True (A)</p> Signup and view all the answers

True or false: The goal of a conceptual data model is to create a shared understanding of the business.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models are used for designing new data systems.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models are used for improving existing data systems.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models ensure that data is managed efficiently and effectively.

<p>True (A)</p> Signup and view all the answers

True or false: Conceptual data models capture the essential concepts of a business or organization.

<p>True (A)</p> Signup and view all the answers

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