Certified-Machine-Learning-Professional Practice Online

Which of the following statements describes streaming with Spark as a model deployment strategy?

A machine learning engineer is in the process of implementing a concept drift monitoring solution. They are planning to use the following steps:

1. Deploy a model to production and compute predicted values

2. Obtain the observed (actual) label values

3. _____

4. Run a statistical test to determine if there are changes over time

Which of the following should be completed as Step #3?

A data scientist has developed a model model and computed the RMSE of the model on the test set. They have assigned this value to the variable rmse. They now want to manually store the RMSE value with the MLflow run.

They write the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so the code block can successfully complete the task?

Which of the following is a benefit of logging a model signature with an MLflow model?

A machine learning engineer has developed a random forest model using scikit-learn, logged the model using MLflow as random_forest_model, and stored its run ID in the run_id Python variable. They now want to deploy that model by performing batch inference on a Spark DataFrame spark_df.

Which of the following code blocks can they use to create a function called predict that they can use to complete the task?