Vendor: Databricks
Certifications: Databricks Certifications
Exam Name: Databricks Certified Machine Learning Professional
Exam Code: DATABRICKS-MACHINE-LEARNING-PROFESSIONAL
Total Questions: 60 Q&As ( View Details)
Last Updated: Mar 18, 2025
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VCE
Databricks DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Last Month Results
DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Q&A's Detail
Exam Code: | DATABRICKS-MACHINE-LEARNING-PROFESSIONAL |
Total Questions: | 60 |
Single & Multiple Choice | 60 |
CertBus Has the Latest DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Exam Dumps in Both PDF and VCE Format
DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Online Practice Questions and Answers
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?
A. Label drift
B. None of these
C. Concept drift
D. Prediction drift
E. Feature drift
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?
A. spark.read.format(“delta”).load(path).drop(“star_rating”)
B. spark.read.format(“delta”).table(path).drop(“star_rating”)
C. Delta tables cannot be modified
D. spark.read.table(path).drop(“star_rating”)
E. spark.sql(“SELECT * EXCEPT star_rating FROM path”)
Which of the following is a reason for using Jensen-Shannon (JS) distance over a Kolmogorov-Smirnov (KS) test for numeric feature drift detection?
A. All of these reasons
B. JS is not normalized or smoothed
C. None of these reasons
D. JS is more robust when working with large datasets
E. JS does not require any manual threshold or cutoff determinations
A machine learning engineer needs to select a deployment strategy for a new machine learning application. The feature values are not available until the time of delivery, and results are needed exceedingly fast for one record at a time. Which of the following deployment strategies can be used to meet these requirements?
A. Edge/on-device
B. Streaming
C. None of these strategies will meet the requirements.
D. Batch
E. Real-time
A data scientist has computed updated feature values for all primary key values stored in the Feature Store table features. In addition, feature values for some new primary key values have also been computed. The updated feature values are
stored in the DataFrame features_df. They want to replace all data in features with the newly computed data.
Which of the following code blocks can they use to perform this task using the Feature Store Client fs?
A. Option A
B. Option B
C. Option C
D. Option D
E. Option E
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