Which of the following tools can be used to distribute large-scale feature engineering without the use of a UDF or pandas Function API for machine learning pipelines?
A machine learning engineer is using the following code block to scale the inference of a single-node model on a Spark DataFrame with one million records:Assuming the default Spark configuration is in place, which of the following is a benefit of using an Iterator?
Which statement describes a Spark ML transformer?
Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?
A data scientist is using the following code block to tune hyperparameters for a machine learning model:Which change can they make the above code block to improve the likelihood of a more accurate model?
A data scientist has been given an incomplete notebook from the data engineering team. The notebook uses a Spark DataFrame spark_df on which the data scientist needs to perform further feature engineering. Unfortunately, the data scientist has not yet learned the PySpark DataFrame API.Which of the following blocks of code can the data scientist run to be able to use the pandas API on Spark?
