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databricks CERTIFIED_MACHINE_LEARNING_ASSOCIATE

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Exam contains 73 questions

Page 5 of 13
Question 25 🔥

A data scientist has developed a linear regression model using Spark ML and computed the predictions in a Spark DataFrame preds_df with the following schema: prediction DOUBLE actual DOUBLEWhich of the following code blocks can be used to compute the root mean-squared-error of the model according to the data in preds_df and assign it to the rmse variable?

Which database solution meets these requirements?
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Question 26 🔥

A machine learning engineer wants to parallelize the training of group-specific models using the Pandas Function API. They have developed the train_model function, and they want to apply it to each group of DataFrame df.They have written the following incomplete code block:Which of the following pieces of code can be used to fill in the above blank to complete the task?

Which database solution meets these requirements?
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Question 27 🔥

Which of the following statements describes a Spark ML estimator?

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Question 28 🔥

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?

Which database solution meets these requirements?
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Question 29 🔥

Which of the following tools can be used to parallelize the hyperparameter tuning process for single-node machine learning models using a Spark cluster?

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Question 30 🔥

Which of the following approaches can be used to view the notebook that was run to create an MLflow run?

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