DAA-C01 · Question #59
How does using Snowsight's data loading capabilities impact the overall data preparation process?
The correct answer is B. Streamlines data loading, reducing preparation time. B is correct because Snowsight provides a guided, point-and-click interface for loading data - including file uploads, format detection, and column mapping - that eliminates manual scripting steps and reduces the time needed to get data ready for analysis. Why the distractors…
Question
How does using Snowsight's data loading capabilities impact the overall data preparation process?
Options
- ADoesn't support batch data loading
- BStreamlines data loading, reducing preparation time
- CIncreases data transformation complexities
- DLimits data loading to specific file formats
How the community answered
(43 responses)- A2% (1)
- B91% (39)
- C7% (3)
Explanation
B is correct because Snowsight provides a guided, point-and-click interface for loading data - including file uploads, format detection, and column mapping - that eliminates manual scripting steps and reduces the time needed to get data ready for analysis.
Why the distractors fail:
- A is wrong - Snowsight does support batch loading; users can load multiple files or configure staged loads.
- C is wrong - Snowsight simplifies transformations by auto-detecting schemas and offering preview/mapping tools, not increasing complexity.
- D is wrong - Snowsight supports a broad range of formats (CSV, JSON, Parquet, Avro, ORC, etc.), so there is no narrow format restriction.
Memory tip: Think of Snowsight as the "easy button" for data loading - its entire UI purpose is to streamline workflows, so any answer suggesting it adds friction or limits functionality contradicts its core design goal.
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