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ML Data Scientist Databricks Certified Machine Learning Professional

Databricks Certified Machine Learning Professional

Last Update Apr 30, 2024
Total Questions : 60

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Questions 4

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 4

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
Questions 5

A machine learning engineering manager has asked all of the engineers on their team to add text descriptions to each of the model projects in the MLflow Model Registry. They are starting with the model project"model"and they'd like to add the text in themodel_descriptionvariable.

The team is using the following line of code:

Questions 5

Which of the following changes does the team need to make to the above code block to accomplish the task?

Options:

A.  

Replace update_registered_model with update_model_version

B.  

There no changes necessary

C.  

Replace description with artifact

D.  

Replace client.update_registered_model with mlflow

E.  

Add a Python model as an argument to update_registered_model

Discussion 0
Questions 6

Which of the following machine learning model deployment paradigms is the most common for machine learning projects?

Options:

A.  

On-device

B.  

Streaming

C.  

Real-time

D.  

Batch

E.  

None of these deployments

Discussion 0
Questions 7

A machine learning engineer is monitoring categorical input variables for a production machine learning application. The engineer believes that missing values are becoming more prevalent in more recent data for a particular value in one of the categorical input variables.

Which of the following tools can the machine learning engineer use to assess their theory?

Options:

A.  

Kolmogorov-Smirnov (KS) test

B.  

One-way Chi-squared Test

C.  

Two-way Chi-squared Test

D.  

Jenson-Shannon distance

E.  

None of these

Discussion 0
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