Answer-first summary for fast verification
Answer: By adding `primary_keys` parameter inside `fs.create_table`. ```python fs.create_table( name=table_name, primary_keys=['column1', 'column2'], schema=airbnb_df.schema, description="All Errors are captured in this table" ) ```
The correct answer is to add the `primary_keys` parameter inside `fs.create_table`. This is because the `create_table` method requires the specification of primary keys to uniquely identify records in the table. The provided code snippet lacks this essential parameter, leading to the error.
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After instantiating FeatureStoreClient as fs, the following code snippet results in an error. What is the correct way to fix this code?
fs.create_table(
name=table_name,
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
fs.create_table(
name=table_name,
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
A
By changing fs.create_table to fs.write_table.
B
By adding the df parameter inside fs.create_table.
fs.create_table(
name=table_name,
df=airbnb_df,
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
fs.create_table(
name=table_name,
df=airbnb_df,
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
C
By changing fs.create_table to fs.createtable.
D
By adding primary_keys parameter inside fs.create_table.
fs.create_table(
name=table_name,
primary_keys=['column1', 'column2'],
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
fs.create_table(
name=table_name,
primary_keys=['column1', 'column2'],
schema=airbnb_df.schema,
description="All Errors are captured in this table"
)
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