
Explanation:
Databricks SQL is optimized for working with large-scale data directly in the Databricks Lakehouse Platform, making it ideal for organization-branded visualizations that can be embedded in marketing materials and dashboards. Option B is correct because Databricks SQL provides built-in visualization capabilities that maintain brand consistency while leveraging the platform's data processing power. Option D is also correct because Databricks SQL excels at simple, exploratory visualizations on big data where other tools might struggle with performance. Option A is less suitable as Databricks SQL's visualization features are more functional than presentation-grade. Option C is incorrect because custom, interactive visualizations on small data are better handled by specialized BI tools like Tableau or Power BI that offer more advanced interactivity and customization features.
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Which data visualization use cases are best suited for Databricks SQL compared to other visualization tools?
A
Presentation-grade visualizations for publication
B
Organization-branded visualizations for marketing material
C
Custom, interactive visualizations on small data
D
Simple, exploratory visualizations on big data