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材料1:

A machine learning engineer has developed the following custom model class with preprocessing logic to combine two columns:

class RFWithPreprocess(mlflow.pyfunc.PythonModel):

Def_init_(self,params):

self.params = params

self.rf model =None

def preprocess input (self, model_input):

input =model_input.copy()

input["price"] = input["spend"] / input["units"]

return input

def fit(self, X_train, y train):

from sklearn.ensemble import RandomForestRegressor

input = self.preprocess_input(X_train)

rf_model = RandomForestRegressor(**self.params)

rf_model.fit(input, y_train)

self.rf model = rf model

def predict(self, model input):

input = model_input.copy()

return self.rf_model.predict(input)

However, instances of this class are unable to compute predictions.

1. Question

Which of the following changes will update the class so predictions can be computed while continuing to apply the preprocessing logic?

20 of 60. A machine learning engineer has been informed that there is an error associated with a model that is currently in the Production stage. As a result, the engineer wants to delete the Production-stage model version model_version for the MLflow Model Registry model model using the MLflow Client client. They ran the following block of code, but the model version was not deleted: client.delete model version( Name=model, Version=model_version ） Which of the following describes why the model version was not deleted?

19 of 60. A machine learning engineer wants to test a new model version in the MLflow Model Registry. In which of the following stages should the model be during the testing period?

18 of 60. A machine learning engineer wants to load the data from the very first version of a Delta table from location path. Which of the following lines of code can be used to accomplish this task?

17 of 60. A data scientist wants to log outlier feature data from a CSV file at path outlier_path with an MLflow run for model model. Which of the following code blocks will accomplish this task inside of an existing MLflow run block?

16 of 60. A data scientist is utilizing MLflow to track their machine learning experiments.After completing a run with run ID run_id for the experiment with experiment ID exp_id, the data scientist wants to programmatically return the logged metrics for run_id.They have an active MLflow Client client and an active Spark session spark. Which of the following lines of code can be used to return the logged metrics for run_id?

15 of 60. A data scientist has loaded data from the Delta table at the location path into a Spark DataFrame df. After a few transformations to df, they assign the new DataFrame to the variable new_df and want to write new_df to the path location. They want to replace all of the existing data in the Delta table at the location path. Which of the following DataFrame writing modes can they use to accomplish this task?

14 of 60. A data scientist has developed a scikit-learn random forest model model, but they have not yet logged model with MLflow. They have created a model signature model_signature and a few example input records input_records. Which of the following blocks of code can be used to log all of this information?

13 of 60. A machine learning engineer is converting a Hyperopt-based hyperparameter tuning process from manual MLflow logging to MLflow Autologging.They notice that not all details and objects are automatically logged, and they will need to manually log some things. Which of the following will need to be manually logged when performing nested runs with Hyperopt and MLflow Autologging?

12 of 60. A data scientist set up a machine learning pipeline to automatically log feature importance data from a CSV with each run. They now want to view the feature importance data in Databricks. Which of the following locations in Databricks will show this data?

11 of 60. Which of the following is a benefit of logging an input example with an MLflow model?

10 of 60. Which of the following MLflow operations can be used to log a plot that was generated during an MLflow run?

9 of 60. A data scientist wants to examine the data in the Feature Store table table from the database dev as a Spark DataFrame. They have access to Feature Store Client fs. Which of the following lines of code can be used to get the data from table as a Spark DataFrame?

8 of 60. A data scientist has computed updated rows that contain new feature values for primary keys already stored in the Feature Store table features. The updated feature values are stored in the DataFrame features_df. They want to update the rows in features if the associated primary key is in features_df. If a row's primary key is not in features_df, they want the row to remain unchanged in features. Which of the following code blocks can they use to perform this task using the Feature Store Client fs?

7 of 60. A data scientist would like to switch from manually using MLflow logging to MLflow Autologging for all machine learning libraries used in a notebook. They begin by adding m1flow.autolog()to the top of the below code block: mlflow.autolog() With mlflow.start_run(run_name="ML Project") as run: Rf = RandomForestRegressor(random_state=42) Rf_model = rf.fit(X_train, y_train) Mse = mean_squared error(rf_model.predict(X_train), y train) mlflow.log_metric("training_mse", mse) Mlflow.sklearn.log_model(rf_model, "rf_model") The data scientist is now trying to determine which line of code will kick off the MLflow Autologging process. Which of the following lines of code within the above code block will start the MLflow Autologginig process?

6 of 60. A data scientist is using MLflow to track their machine learning experiment. As a part of each of their MLflow runs, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values. They are using the following code block: With mlflow.start_run(run_name="Parent run") as run: Print("Start parent run") With mlflow.start run(run_name="Child 1"): Mlflow.log param("run_name", "child_1") With mlflow.start_run(run_name="Child 2"): Mlflow.log_param("run_name", "child_2") The code block is returning an error. Which of the following changes does the data scientist need to make to the above code block so that it successfully nests the child runs under the parent run in MLflow?

5 of 60. A data scientist has run the following line of code to create a Feature Store table: Fs.create table( Name="new table", Primary_keys="customer_id", Schema=df.schema, Description="Customer features" ) Which of the following correctly describes the data in the Feature Store table new_table?

4 of 60. A data scientist wants to track the runs of their random forest model. The data scientist is changing the number of trees and the maximum depth of the trees in the forest across each run. They write the following code block: With mlflow.start run(experiment id=exp id, run name=run name) as run: Rf = RandomForestRegressor(∗∗params) Rf.fit(X,y) Predictions = rf.predict(X_test) Mlflow.log_params(params) Return run.info.run_id Which of the following Python object types does params need to be an instance of?

3 of 60. A data scientist has developed and logged a Spark ML random forest model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the featureImportances of the original model object. Which of the following lines of code can be used to restore the model object so that featureImportances is available?

2 of 60. A machine learning engineer has developed a machine learning pipeline that produces a scikit-learn model model and computes the RMSE rmse,MAE mae, and R-squared r2 values for the test set. They now want to log these values with the MLflow run. These values are stored in the dictionary metrics. They run the following code block: With mlflow.start_run(experiment id=exp id, run_name=run_name) as run: # Log metrics Mlflow.log_metric(metrics) The code block produces an error. Which of the following changes to the code block will successfully complete the task?