Which of the following is a valid pandas call to read a Parquet file into a DataFrame?

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Multiple Choice

Which of the following is a valid pandas call to read a Parquet file into a DataFrame?

Explanation:
Loading a Parquet file into a DataFrame in pandas is done with read_parquet, which reads the file and returns a DataFrame. The file path must be a valid string pointing to the Parquet file. The direct call to load the data returns the whole DataFrame: pd.read_parquet('/lakehouse/default/Files/Customers.parquet'). The first option uses read_csv, which is for CSV files and won’t read a Parquet file correctly. The second option would still read the file but then call head(), returning only the first few rows rather than the full DataFrame. The fourth option uses a path without a leading slash, which may be incorrect depending on the working directory and could fail if the path is absolute. So the direct read_parquet call is the valid way to load the data into a DataFrame.

Loading a Parquet file into a DataFrame in pandas is done with read_parquet, which reads the file and returns a DataFrame. The file path must be a valid string pointing to the Parquet file. The direct call to load the data returns the whole DataFrame: pd.read_parquet('/lakehouse/default/Files/Customers.parquet'). The first option uses read_csv, which is for CSV files and won’t read a Parquet file correctly. The second option would still read the file but then call head(), returning only the first few rows rather than the full DataFrame. The fourth option uses a path without a leading slash, which may be incorrect depending on the working directory and could fail if the path is absolute. So the direct read_parquet call is the valid way to load the data into a DataFrame.

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