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Answer: Create a table using DataFrame API with schema and partitioning.
To create a feature store table in Databricks, you would typically use the DataFrame API to define the schema of the data and specify partitioning for optimal query performance. The code snippet would include creating a DataFrame, defining the schema, and using the `write` method with appropriate partitioning keys.
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You are tasked with creating a feature store table in Databricks. Describe the steps you would take to create this table, including the necessary code snippets and considerations for data schema and partitioning.
A
Create a table using SQL syntax without specifying schema or partitioning.
B
Create a table using DataFrame API with schema but without partitioning.
C
Create a table using SQL syntax with schema and partitioning.
D
Create a table using DataFrame API with schema and partitioning.
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