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Complete Guide to Create Data Models & Table Relationships

Quiz by Support - BusinessPromoted .com

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10 questions
Show answers
  • Q1
    What is the primary purpose of data normalization in Power BI?
    To ensure all data is in uppercase
    To format data as JSON
    To reduce data redundancy and improve data integrity
    To increase data redundancy
    40s
  • Q2
    Which type of table in Power BI typically contains the metrics of a business process?
    Summary Table
    Fact Table
    Dimension Table
    Lookup Table
    40s
  • Q3
    When creating a many-to-many relationship, which method is recommended to avoid performance issues?
    Creating duplicate tables
    Directly linking the tables with a many-to-many relationship
    Using a bridge table
    Using a one-to-one relationship
    40s
  • Q4
    What key characteristic should a column have to be used as a primary key in a table?
    It should contain unique values
    It should be a text column
    It should contain non-unique values
    It should have null values
    40s
  • Q5
    In a star schema, what is the primary role of dimension tables?
    To store transactional data
    To provide descriptive information for fact tables
    To serve as primary keys for fact tables
    To calculate aggregates
    40s
  • Q6
    What is a major benefit of using Power BI for data modeling and analysis?
    It only supports small datasets
    It requires extensive coding
    It lacks integration with other Microsoft tools
    It provides interactive visualizations and insights
    40s
  • Q7
    How can data consistency be ensured when importing from multiple sources in Power BI?
    By importing data without any preprocessing
    By avoiding data transformation altogether
    By applying data transformation and normalization techniques
    By using only one data source
    40s
  • Q8
    What is the recommended approach to handle missing values in a dataset in Power BI?
    Manually filling in the missing values without any analysis
    Ignoring the missing values
    Deleting rows with missing values
    Using data cleaning and transformation tools
    40s
  • Q9
    Why is it important to maintain unique values in a primary key column?
    To avoid indexing
    To uniquely identify each record in the table
    To allow duplicate records
    To increase data redundancy
    40s
  • Q10
    How can complex relationships between tables be managed effectively in Power BI?
    By avoiding relationships and using flat tables
    By using DAX functions and relationship management features
    By exporting data to a different tool for relationship management
    By creating manual calculations in Excel
    40s

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