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ML Data Scientist Databricks Certified Machine Learning Professional

Databricks Certified Machine Learning Professional

Last Update Apr 23, 2025
Total Questions : 60

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Questions 2

A machine learning engineer wants to programmatically create a new Databricks Job whose schedule depends on the result of some automated tests in a machine learning pipeline.

Which of the following Databricks tools can be used to programmatically create the Job?

Options:

A.  

MLflow APIs

B.  

AutoML APIs

C.  

MLflow Client

D.  

Jobs cannot be created programmatically

E.  

Databricks REST APIs

Discussion 0
Questions 3

A machine learning engineer is migrating a machine learning pipeline to use Databricks Machine Learning. They have programmatically identified the best run from an MLflow Experiment and stored its URI in themodel_urivariable and its Run ID in therun_idvariable. They have also determined that the model was logged with the name"model". Now, the machine learning engineer wants to register that model in the MLflow Model Registry with the name"best_model".

Which of the following lines of code can they use to register the model to the MLflow Model Registry?

Options:

A.  

mlflow.register_model(model_uri, "best_model")

B.  

mlflow.register_model(run_id, "best_model")

C.  

mlflow.register_model(f"runs:/{run_id}/best_model", "model")

D.  

mlflow.register_model(model_uri, "model")

E.  

mlflow.register_model(f"runs:/{run_id}/model")

Discussion 0
Questions 4

A data scientist has developed a scikit-learn random forest model model, but they have not yet logged model with MLflow. They want to obtain the input schema and the output schema of the model so they can document what type of data is expected as input.

Which of the following MLflow operations can be used to perform this task?

Options:

A.  

mlflow.models.schema.infer_schema

B.  

mlflow.models.signature.infer_signature

C.  

mlflow.models.Model.get_input_schema

D.  

mlflow.models.Model.signature

E.  

There is no way to obtain the input schema and the output schema of an unlogged model.

Discussion 0
Questions 5

A data scientist has developed a scikit-learn modelsklearn_modeland they want to log the model using MLflow.

They write the following incomplete code block:

Questions 5

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

Options:

A.  

mlflow.spark.track_model(sklearn_model, "model")

B.  

mlflow.sklearn.log_model(sklearn_model, "model")

C.  

mlflow.spark.log_model(sklearn_model, "model")

D.  

mlflow.sklearn.load_model("model")

E.  

mlflow.sklearn.track_model(sklearn_model, "model")

Discussion 0
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