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How to use Aggregate Transformation in Mapping Data Flow in Azure Data Factory

Quiz by Support - BusinessPromoted .com

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10 questions
Show answers
  • Q1
    Purpose of Aggregate Transformation?
    Filter data.
    Group data and perform aggregate functions (count, sum).
    Join datasets.
    Rename columns.
    30s
  • Q2
    Name of the table created in Azure SQL Database?
    ADF Output
    Sales Summary
    Aggregate Data
    Total Sale
    30s
  • Q3
    Column NOT included in initial group by?
    Item Sold
    Sold Price (initially string)
    Country
    Region
    30s
  • Q4
    How was the Sold Price error fixed?
    Use different function.
    Change data type to integer.
    Restart data flow.
    Add a new column.
    30s
  • Q5
    Expression to calculate total items sold per region?
    count(*)
    sum(Item Sold)
    sum(*)
    count(Item Sold)
    30s
  • Q6
    Purpose of the Link Service in Azure Data Factory?
    Create visualizations.
    Connect to external data sources.
    Transform data.
    Schedule pipelines.
    30s
  • Q7
    How was data loading into the Sales Summary table verified?
    Download data to local file.
    Run a separate SQL query.
    Check data flow output.
    Refresh schema and view data in ADF.
    30s
  • Q8
    Two additional aggregate functions (besides count and sum)?
    Rename
    Filter
    Join
    average, minimum, maximum, distinct count (depending on data type).
    30s
  • Q9
    Benefit of using truncate in sink settings?
    Deletes existing data, ensuring complete refresh.
    Improves data flow performance.
    Creates a backup of existing data.
    Allows selective data loading.
    30s
  • Q10
    Resources mentioned for further learning?
    Sample data download link in description, another video on Add Column Patterns (hinted).
    No external resources mentioned.
    Specific Microsoft documentation reference.
    Video is the only resource.
    30s

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