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  • Data Warehousing | Introduction to Data Warehouse Modelling

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    Question 1

    The load and index is which of the following?

    • A

      A process to reject data from the data warehouse and to create the necessary indexes

    • B

      A process to load the data in the data warehouse and to create the necessary indexes

    • C

      A process to upgrade the quality of data after it is moved into a data warehouse

    • D

      A process to upgrade the quality of data before it is moved into a data warehouse

    Question 2

    What is the primary function of a data warehouse?

    • A

      Real-time transaction processing

    • B

      Long-term storage of historical data

    • C

      Operational decision support

    • D

      Real-time data analytics

    Question 3

    Which of the following tools is commonly compatible with Data Marts for visualization and analysis?

    • A

      GCC Compiler

    • B

      Tableau

    • C

      Apache Tomcat

    • D

      Notepad++

    Question 4

    What does a fact-less fact table in a data warehouse typically contain? A fact-less fact table is a specific type of fact table that does not include numerical measures or metrics but serves a particular purpose in capturing events or describing relationships between dimensions. Choose the correct answer from the options provided below:

    • A

      Only measures - The table includes solely numerical metrics for analysis

    • B

      Only dimensions - The table contains only dimensional attributes without any measures

    • C

      Keys and measures - The table includes a combination of surrogate keys and numerical measures

    • D

      Only surrogate keys - The table contains surrogate keys to represent relationships

    Question 5

    In a , facts are usually stored in which type of table?

    • A

      Dimension table

    • B

      Fact table

    • C

      Schema table

    • D

      Attribute table

    Question 6

    Which of the following best represents a dimension in a Multidimensional Data Model?

    • A

      Profit or loss

    • B

      Revenue

    • C

      Time

    • D

      Total sales amount

    Question 7

    Which of the following statements about Fact Tables is TRUE?

    • A

      Fact tables store descriptive attributes like customer name and location.

    • B

      Fact tables contain quantitative data and foreign keys referencing dimension tables.

    • C

      Fact tables store metadata about the data warehouse.

    • D

      Fact tables are not connected to dimension tables in a star schema.

    Question 8

    Which type of fact table is best suited to track process progress such as “Order → Shipment → Delivery” ?

    • A

      Transaction Fact Table

    • B

      Periodic Snapshot Fact Table

    • C

      Accumulating Snapshot Fact Table

    • D

      Summary Fact Table

    Question 9

    Which of the following correctly distinguishes a Fact Table from a Dimension Table?

    • A

      Fact tables store descriptive attributes; Dimension tables store numerical measures.

    • B

      Fact tables come before dimension tables in schema design

    • C

      Fact tables contain fewer records and more attributes than dimension tables.
      .

    • D

      Fact tables store numerical measures and foreign keys; Dimension tables store descriptive attributes.

    Question 10

    What is the main purpose of using Aggregate Fact Tables in a data warehouse?

    • A

      To summarize base data using aggregate functions for faster query performance.

    • B

      To store metadata for dimension tables.

    • C

      To replace all base fact tables permanently.

    • D

      To store raw transactional data for detailed analysis.

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