OLAP Operations and Data Cube Aggregation Previous Year Questions (PYQs) for GATE DA: 2+ Solved Questions with Step-by-Step Solutions

    Solve 2+ OLAP Operations and Data Cube Aggregation previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.

    Chapter Roadmap: OLAP Operations and Data Cube Aggregation

    Chapter Journey

    1
    Data Cube Aggregation & OLAP Grouping
    The math behind multi-dimensional summaries. Focus: CUBE operator, grouping sets.
    Current Topic
    2
    OLAP Operations: Roll-Up, Drill-Down, Slice, Dice
    Navigating the cube. Changing granularity and filtering views.
    Why this matters: In GATE DA, questions often test your ability to count the number of rows generated by GROUP BY CUBE or understand dimensionality changes. This chapter provides the theoretical basis.

    Intuition: What is a Data Cube?

    The Core Idea

    Traditional SQL aggregates along specific groups. OLAP aggregates along all possible combinations.

    Spreadsheet View
    Rows: Products
    Columns: Regions
    Data Cube View
    All combinations + Totals
    A Data Cube includes:
    1 Inner cells (Product A in Region X)
    2 Row totals (Product A everywhere)
    3 Column totals (Region X everywhere)
    4 Grand total (Everything)
    Key Insight: The "Cube" is a metaphor for multidimensionality. A 2D cube is a square, a 3D cube is a cube, an -D cube is a hypercube.

    OLAP Operations and Data Cube Aggregation: Solved Questions with Step-by-Step Explanations (2 Problems)

    Question 1 · Database Management and Warehousing MCQ
    Consider a fact table in an OLAP application: , where and are its dimension attributes and is a dependent attribute. Suppose attribute takes values and takes values, and all combinations of these values are present in the table . How many tuples are there in the result of the following query?

    SELECT D1, D2, sum(val)
    FROM Facts
    GROUP BY CUBE (D1, D2);
    1. A.

    2. B.

    3. C.

    4. D.

    Question 2 · Database Management and Warehousing MCQ
    Consider that the visualization of a 3-dimensional data cube is showing Sales Quantity for each combination of the attributes Product Type, Month and Country.
    From this, if we want to further visualize the Sales Quantity for each combination of Product Type, Month and State, which of the following OLAP operations should be performed?
    1. A.

      Slicing

    2. B.

      Dicing

    3. C.

      Roll-up

    4. D.

      Drill-down

    More previous year questions (pyqs) in this unit

    chapter
    OLAP Operations and Data Cube Aggregation Previous Year Questions (PYQs) for GATE DA: 2+ Solved Questions with Step-by-Step Solutions

    Solve 2+ OLAP Operations and Data Cube Aggregation previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.

    A question from this chapter

    Question 1
    Consider a fact table in an OLAP application: , where and are its dimension attributes and is a dependent attribute. Suppose attribute takes values and takes values, and all combinations of these values are present in the table . How many tuples are there in the result of the following query?

    SELECT D1, D2, sum(val)
    FROM Facts
    GROUP BY CUBE (D1, D2);
    Question 2
    Consider that the visualization of a 3-dimensional data cube is showing Sales Quantity for each combination of the attributes Product Type, Month and Country.
    From this, if we want to further visualize the Sales Quantity for each combination of Product Type, Month and State, which of the following OLAP operations should be performed?
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