After instantiating FeatureStoreClient as fs, the following code snippet results in an error. What is the correct way to fix this code? ```python fs.create_table( name=table_name, schema=airbnb_df.schema, description="All Errors are captured in this table" ) ``` | Databricks Certified Machine Learning - Associate Quiz

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"
)

Real Exam

Explanation:

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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Databricks Certified Machine Learning - Associate

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Databricks Certified Machine Learning - Associate

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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" )`

Databricks Certified Machine Learning - Associate

Get started today

Databricks Certified Machine Learning - Associate

Get started today

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" )

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" )`