Free Databricks Databricks-Machine-Learning-Associate Exam Dumps Questions & Answers

A data scientist wants to use Spark ML to one-hot encode the categorical features in their PySpark DataFrame features_df. A list of the names of the string columns is assigned to the input_columns variable.
They have developed this code block to accomplish this task:

The code block is returning an error.
Which of the following adjustments does the data scientist need to make to accomplish this task?

• A.They need to use VectorAssembler prior to one-hot encoding the features.
• B.They need to use Stringlndexer prior to one-hot encodinq the features.
• C.They need to specify the method parameter to the OneHotEncoder.
• D.They need to remove the line with the fit operation.

A health organization is developing a classification model to determine whether or not a patient currently has a specific type of infection. The organization's leaders want to maximize the number of positive cases identified by the model.
Which of the following classification metrics should be used to evaluate the model?

• A.Precision
• B.Accuracy
• C.Recall
• D.RMSE
• E.Area under the residual operating curve

A data scientist is utilizing MLflow Autologging to automatically track their machine learning experiments. After completing a series of runs for the experiment experiment_id, the data scientist wants to identify the run_id of the run with the best root-mean-square error (RMSE).
Which of the following lines of code can be used to identify the run_id of the run with the best RMSE in experiment_id?

• A.
• B.
• C.
• D.

A data scientist wants to efficiently tune the hyperparameters of a scikit-learn model. They elect to use the Hyperopt library's fmin operation to facilitate this process. Unfortunately, the final model is not very accurate. The data scientist suspects that there is an issue with the objective_function being passed as an argument to fmin.
They use the following code block to create the objective_function:

Which of the following changes does the data scientist need to make to their objective_function in order to produce a more accurate model?

• A.Replace the fmin operation with the fmax operation
• B.Replace the r2 return value with -r2
• C.Remove the mean operation that is wrapping the cross_val_score operation
• D.Add test set validation process
• E.Add a random_state argument to the RandomForestRegressor operation

Which of the following statements describes a Spark ML estimator?

• A.An estimator is a hyperparameter arid that can be used to train a model
• B.An estimator is an evaluation tool to assess to the quality of a model
• C.An estimator is an alqorithm which can be fit on a DataFrame to produce a Transformer
• D.An estimator is a trained ML model which turns a DataFrame with features into a DataFrame with predictions
• E.An estimator chains multiple alqorithms toqether to specify an ML workflow