Why is the Parquet format preferred for complex data sets?

Question

Options

• AIt has visually appealing data presentation
• BIt supports efficient compression and encoding schemes
• CIt randomly alters data for testing
• DIt changes data colors for differentiation

• B
  91% (30)
• C
  6% (2)
• D
  3% (1)

Explanation

Parquet is a columnar storage format specifically designed to handle complex, nested data structures with efficient compression and encoding schemes (B). By storing data column-by-column rather than row-by-row, Parquet can apply highly optimized compression algorithms (like Snappy or Gzip) per column, dramatically reducing storage size and improving query performance on large analytical workloads.

Why the distractors are wrong:

• A - File formats have no concept of "visual appeal"; Parquet files aren't even human-readable without tooling.
• C - Randomly altering data would corrupt it, making it useless; no production format does this.
• D - Binary file formats don't use color; this conflates data visualization with data storage.

Memory tip: Think of Parquet as a "parking garage for data" - cars (columns) of the same type are parked together, making it faster to find and compress similar items than if they were scattered randomly across rows.

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