How does performing data discovery through querying tables in Snowflake aid in data preparation?

Question

Options

• AIt limits data selection options.
• BData discovery enhances data transformation understanding.
• CIt simplifies data transformation tasks.
• DQuerying tables doesn't impact data preparation.

• A
  6% (3)
• B
  88% (46)
• C
  2% (1)
• D
  4% (2)

Explanation

Performing data discovery by querying Snowflake tables reveals the actual structure, content, and relationships within your data - this understanding directly informs how you need to transform data (cleaning nulls, normalizing formats, joining tables, etc.), making B correct. Option A is wrong because querying actually expands your awareness of available data rather than restricting choices. Option C confuses understanding with simplification - discovery improves your comprehension of what transformations are needed, but it doesn't reduce the complexity of performing them. Option D is wrong because understanding your data's shape and quality is foundational to every preparation decision you make.

Memory tip: Think of data discovery as "reading the recipe before cooking" - you don't skip steps, but you understand what each ingredient (column/field) needs before you start transforming it.

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