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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: Nov 13, 2024
  • Rated: 4.9 |
  • Online Users: 150
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  • Question 1
    • A data scientist is performing hyperparameter tuning using an iterative optimization algorithm. Each evaluation of unique hyperparameter values is being trained on a single compute node. They are performing eight total evaluations across eight total compute nodes. While the accuracy of the model does vary over the eight evaluations, they notice there is no trend of improvement in the accuracy. The data scientist believes this is due to the parallelization of the tuning process.

      Which change could the data scientist make to improve their model accuracy over the course of their tuning process?


      Answer: C
  • Question 2
    • What is the name of the method that transforms categorical features into a series of binary indicator feature variables?

      Answer: C
  • Question 3
    • A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features to be included in the exploration.

      Which of the following lines of code can the data scientist run to accomplish the task?


      Answer: E
  • Question 4
    • 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 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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