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Free Databricks Databricks-Certified-Machine-Learning-Associate Exam Questions

Absolute Free Databricks-Certified-Machine-Learning-Associate Exam Practice for Comprehensive Preparation 

  • Databricks Databricks-Certified-Machine-Learning-Associate Exam Questions
  • Provided By: Databricks
  • Exam: Databricks Certified Machine Learning Associate
  • Certification: Databricks Certified Associate
  • Total Questions: 75
  • Updated On: Jan 10, 2025
  • Rated: 4.9 |
  • Online Users: 150
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  • Question 1
    • 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?


      Answer: C
  • Question 2
    • Which of the following evaluation metrics is not suitable to evaluate runs in AutoML experiments for regression problems?

      Answer: A
  • Question 3
    • A machine learning engineer is using the following code block to scale the inference of a single-node model on a Spark DataFrame with one million records:





      Assuming the default Spark configuration is in place, which of the following is a benefit of using an Iterator?


      Answer: C
  • Question 4
    • What is the name of the method that transforms categorical features into a series of binary indicator feature variables?

      Answer: C
  • Question 5
    • Which of the following evaluation metrics is not suitable to evaluate runs in AutoML experiments for regression problems?

      Answer: A
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