Data Modeling Quiz

What is entity-relationship modeling?

• Entity-relationship modeling is a physical modeling technique used to design the layout of a database.

• Entity-relationship modeling is a programming language used to query databases.

• Entity-relationship modeling is a data analysis technique used to identify trends in a database.

• Entity-relationship modeling is a conceptual modeling technique used to represent the relationships between entities in a database.

What are the main components of an entity-relationship diagram?

• functions, procedures, and triggers

• tables, columns, and keys

• entities, attributes, and relationships

• classes, objects, and methods

What is the purpose of relational database design?

• To make data retrieval slower.

• To organize and structure data efficiently

• To store data in a non-structured manner.

• To increase data redundancy.

What are the steps involved in relational database design?

• Data Analysis, Conceptual Design, Logical Design, Physical Design, Implementation, and Maintenance.

• Requirement Analysis, Conceptual Design, Logical Design, Physical Design, Implementation, and Maintenance

• Requirement Analysis, Logical Design, Physical Design, Implementation, and Maintenance.

• Requirement Analysis, Conceptual Design, Physical Design, Implementation, and Maintenance.

What is dimensional modeling?

• A technique used in software development.

• A process for modeling physical dimensions in engineering.

• A method for creating 3D models.

• Data modeling technique used in data warehousing.

What are the key concepts in dimensional modeling?

• attributes, hierarchies, data marts

• OLAP, ETL, data warehouse

• normalized schema, denormalized schema, surrogate keys

• dimensions, facts, star schema, snowflake schema, and slowly changing dimensions

What is conceptual data modeling?

• A high-level, abstract representation of the data requirements for a system or organization.

• A detailed, technical representation of the data requirements for a system or organization.

• A process of converting data from one format to another.

• A method of organizing and storing data in a database.

What is the difference between conceptual data modeling and logical data modeling?

• Conceptual data modeling focuses on designing the physical structure of the database, while logical data modeling focuses on designing the user interface.

• Conceptual data modeling focuses on data storage and retrieval, while logical data modeling focuses on data analysis and reporting.

• Conceptual data modeling focuses on understanding the business requirements and high-level concepts, while logical data modeling focuses on translating those concepts into a more detailed and technical representation.

• Conceptual data modeling focuses on capturing the current state of the data, while logical data modeling focuses on designing the future state of the data.

What is data abstraction?

• Data abstraction is the practice of organizing data in a hierarchical structure.

• Data abstraction is the technique of hiding complex details and exposing only essential information.

• Data abstraction is the process of simplifying complex data structures.

• Data abstraction is the method of encrypting data to protect it from unauthorized access.

What are the advantages of using data abstraction in database design?

• Improved performance, increased storage capacity, and faster data retrieval.

• Limited data access, decreased security, and increased complexity.

• Reduced flexibility, limited scalability, and decreased maintainability.

• Data abstraction in database design provides advantages such as separation of logical and physical aspects, reduced complexity, enhanced security, flexibility, scalability, and maintainability.