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Databricks Databricks-Machine-Learning-Professional Exam Dumps
Databricks Certified Machine Learning Professional
Total Questions : 60
Update Date : July 16, 2026
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Databricks-Machine-Learning-Professional Exam Dumps
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Databricks Databricks-Machine-Learning-Professional Sample Questions
Question # 1Which of the following machine learning algorithms typically uses bagging?
A. IGradient boosted trees
B. K-means
C. Random forest
D. Decision tree
Question # 2
The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not scale well to large datasets with a large number of variables. Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?
A. Logistic regression
B. Singular value decomposition
C. Iterative optimization
D. Least-squares method
Question # 3
A data scientist has produced three new models for a single machine learning problem. In the past, the solution used just one model. All four models have nearly the same prediction latency, but a machine learning engineer suggests that the new solution will be less time efficient during inference. In which situation will the machine learning engineer be correct?
A. When the new solution requires if-else logic determining which model to use to compute each prediction
B. When the new solution's models have an average latency that is larger than the size of the original model
C. When the new solution requires the use of fewer feature variables than the original model
D. When the new solution requires that each model computes a prediction for every record E. When the new solution's models have an average size that is larger than the size of the original model
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