Data Modeling Quiz

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Quizzes Created: 12 | Total Attempts: 37,965
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  • 1/15 Questions

    An OLTP database is designed to handle the day to day needs of a business.

    • True
    • False
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About This Quiz

Test your understanding of data modeling concepts with this data modeling quiz that we present to you right here. The quiz does not only test your knowledge but also gives you conceptual clarity over the same and gives you an opportunity to learn more about data modeling through a fun learning experience. So, are you ready for it? Let us go for it, and also, best of luck to you!

Data Modeling Quiz - Quiz

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  • 2. 

    The Logical Data Model (LDM) is derived from the Conceptual Data Model (CDM).

    • True

    • False

    Correct Answer
    A. True
    Explanation
    The Logical Data Model (LDM) is derived from the Conceptual Data Model (CDM) because it takes the high-level concepts and relationships from the CDM and translates them into a more detailed and specific representation. The LDM defines the structure of the data, including entities, attributes, relationships, and constraints, and serves as a blueprint for the physical implementation of the database. By building upon the CDM, the LDM adds more granularity and specificity to the data model, making it suitable for database design and development.

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  • 3. 

    OLTP stores a detailed level of data.

    • True

    • False

    Correct Answer
    A. True
    Explanation
    OLTP (Online Transaction Processing) is a type of database system that is designed to handle and process high volumes of transactions in real-time. It is used for day-to-day operational tasks and stores data at a detailed level. This means that it captures and stores every transaction and its associated details, allowing for accurate and granular data analysis. Therefore, the statement "OLTP stores a detailed level of data" is true.

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  • 4. 

    Data Model helps not store the redundant data.

    • True

    • False

    Correct Answer
    A. True
    Explanation
    A data model is a conceptual representation of data and the relationships between different data elements. By using a data model, redundant data can be eliminated or minimized. Redundant data refers to the unnecessary duplication of data, which can lead to storage inefficiencies and inconsistencies. Therefore, it is true that a data model helps in not storing redundant data, as it allows for efficient organization and structuring of data, promoting data integrity and reducing redundancy.

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  • 5. 

    Dimensional table stores records related to that particular  dimension, and no measures are stored  in these tables.

    • True

    • False

    Correct Answer
    A. True
    Explanation
    A dimensional table is a type of table in a data warehouse that stores records related to a specific dimension, such as time, product, or location. These tables typically contain descriptive attributes that provide context to the measures stored in fact tables. Measures, on the other hand, are stored in fact tables and represent the numerical data that can be analyzed and aggregated. Therefore, it is true that no measures are stored in dimensional tables.

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  • 6. 

    Data modeling data modeling is the process of constructingg is the process of constructing

    • An orderly arrangement of data elements

    • A graphic representation of data contained in an information system

    • Physical elements of the information system

    • A verbal description of the data needed

    Correct Answer
    A. A graphic representation of data contained in an information system
    Explanation
    The correct answer is a graphic representation of data contained in an information system. Data modeling involves creating a visual representation of the data structure and relationships within an information system. This representation helps in understanding how the data is organized and how different entities in the system are related to each other. It is an essential step in designing and developing databases and other information systems.

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  • 7. 

    Online Analytical Processing is also called as

    • Decision support processing

    • Online transactional processing

    • Transaction control processing

    • Concurrent control processing

    Correct Answer
    A. Decision support processing
    Explanation
    Online Analytical Processing (OLAP) is a technology used for analyzing data from multiple dimensions to provide insights and support decision-making. It enables users to perform complex queries and aggregations on large datasets quickly and efficiently. OLAP is specifically designed for decision support processing, as it allows users to explore data from various perspectives and make informed decisions based on the analysis. Therefore, the correct answer is Decision support processing.

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  • 8. 

    One client hires you to design a database for Airline transactions. The database has to capture the detailed level of data related to the tickets booked by the user and the updations made by them with the timestamp.Which database model do you prefer?

    • Dimensional model

    • Online transaction processing model

    • It can be either a Dimensional model or an Online transaction processing model.

    • None of the above

    Correct Answer
    A. Online transaction processing model
    Explanation
    The online transaction processing model is the preferred choice for designing a database for airline transactions because it is specifically designed to handle real-time transactional data. This model is optimized for capturing and processing a large volume of transactions, such as ticket bookings and updates, with the ability to maintain data integrity and ensure data consistency. It allows for concurrent processing of multiple transactions and provides a high level of performance and reliability. In contrast, the dimensional model is more suitable for analytical purposes and may not be as efficient for capturing and processing real-time transactional data.

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  • 9. 

    The following database table design is an example of ---------------------------------                                                                                        PRODUCT    Product Identifier(PK) Product Category Name Product subCategory Name Product  Name Product  Feature Description         LOCATION       Location  Identifier(PK) Country Name State  Name City  Name ate Timestamp                                      Sales Organization  Identifier(PK) Product Identifier(PK) Location  Identifier(PK) Sales DollarAverage sales Date and Timestamp                                                                                                                                            Organization Organization  Identifier(PK) Corporate office Name Region  Name Brach  Name Employer Name Date and Timestamp                                                                           

    • Online transaction processing model

    • Dimensional model

    • Unable to interpret the input data

    • None of the above

    Correct Answer
    A. Dimensional model
    Explanation
    The given database table design is an example of a dimensional model. In a dimensional model, data is organized into dimensions and facts. Dimensions represent the descriptive attributes of the data, such as product category, location, and organization. Facts represent the numerical measures, such as sales dollar and average sales. This model is commonly used in data warehousing and business intelligence to facilitate efficient querying and analysis of data.

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  • 10. 

    Data Modeler focuses on what operations are performed on the data rather than a data requirement.

    • True

    • False

    Correct Answer
    A. False
    Explanation
    The statement is false because a Data Modeler actually focuses on the data requirements rather than the operations performed on the data. A Data Modeler is responsible for designing and creating data models that represent the structure, relationships, and constraints of the data. They work closely with stakeholders to understand the data requirements and translate them into a logical and physical data model.

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  • 11. 

    The dimensional model holds current data.

    • True

    • False

    Correct Answer
    A. False
    Explanation
    The given statement is false. In a dimensional model, data is not stored in real-time or current state. Instead, it is structured and organized into dimensions and facts. The dimensional model is designed for analytical purposes and focuses on providing a simplified view of data for reporting and analysis. It typically holds historical data rather than current data.

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  • 12. 

    The logical Data model does not contain much detail level of information about the attributes.

    • True

    • False

    Correct Answer
    A. False
    Explanation
    The statement "The logical Data model does not contain much detail level of information about the attributes" is false. In fact, the logical data model provides a high-level overview of the data structure and relationships, including detailed information about the attributes. It focuses on the business requirements and is independent of any specific database management system or technology.

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  • 13. 

    The physical level of Data abstraction deals with

    • What data is going to store

    • The relationship between the tables

    • Part of the data in the table

    • How data is going to store

    Correct Answer
    A. How data is going to store
    Explanation
    The physical level of data abstraction refers to how the data is going to be stored. It involves the actual implementation details such as the storage structures, file formats, indexing techniques, and access methods used to store and retrieve data. This level focuses on the physical representation and organization of data in the database system.

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  • 14. 

    Information in the data model is applied to define

    • Requirements

    • Data type and length of the column

    • Primary and foreign keys

    • RDBMS used to store the data

    Correct Answer
    A. Primary and foreign keys
    Explanation
    The information in the data model is applied to define primary and foreign keys. Primary keys are used to uniquely identify each record in a table, while foreign keys establish relationships between tables by referencing the primary key of another table. These keys play a crucial role in maintaining data integrity and ensuring the accuracy of relational databases.

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  • 15. 

    Data Model is a representation  of data.

    • True

    • False

    Correct Answer
    A. True
    Explanation
    A data model is a conceptual representation of data objects, their attributes, and the relationships between them. It provides a structured framework for understanding and organizing data, facilitating data management, analysis, and communication. Data models are used in various contexts, including database design, software development, and business analysis.

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Quiz Review Timeline (Updated): Jan 15, 2025 +

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  • Current Version
  • Jan 15, 2025
    Quiz Edited by
    ProProfs Editorial Team
  • Feb 25, 2010
    Quiz Created by
    Sudha_test
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