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Databricks-Machine-Learning-Professional: Certified Machine Learning Professional
Free Practice Exam Questions (page: 8)
Updated On: 10-Jan-2026

Page 3 of 16
PDF with 109 Questions

Which of the following is a simple, low-cost method of monitoring numeric feature drift?

  1. Jensen-Shannon test
  2. Summary statistics trends
  3. Chi-squared test
  4. None of these can be used to monitor feature drift
  5. Kolmogorov-Smirnov (KS) test

Answer(s): B



A data scientist has developed a model to predict ice cream sales using the expected temperature and expected number of hours of sun in the day. However, the expected temperature is dropping beneath the range of the input variable on which the model was trained.
Which of the following types of drift is present in the above scenario?

  1. Label drift
  2. None of these
  3. Concept drift
  4. Prediction drift
  5. Feature drift

Answer(s): E



A data scientist wants to remove the star_rating column from the Delta table at the location path. To do this, they need to load in data and drop the star_rating column.
Which of the following code blocks accomplishes this task?

  1. spark.read.format("delta").load(path).drop("star_rating")
  2. spark.read.format("delta").table(path).drop("star_rating")
  3. Delta tables cannot be modified
  4. spark.read.table(path).drop("star_rating")
  5. spark.sql("SELECT * EXCEPT star_rating FROM path")

Answer(s): D



Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?

  1. fs.create_table
  2. fs.write_table
  3. fs.get_table
  4. There is no way to accomplish this task with fs
  5. fs.read_table

Answer(s): A



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