Databricks Certified Machine Learning Associate Practice Mode

Community Discussion

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• Chose C0

  - Correct answer : C — scikit-learn, XGBoost, and LightGBM implementations of classification algorithms tried during trials. A . AutoML's classification trials are not built on TensorFlow or PyTorch deep learning models; its algorithm pool for classification and regression comes from classical machine learning libraries instead. B . AutoML does not train its trials using Spark MLlib's distributed algorithm implementations; it distributes trials of single-node scikit-learn, XGBoost, and LightGBM models across the cluster instead. C . Databricks AutoML evaluates classification and regression trials using open source algorithms from scikit-learn, XGBoost, and LightGBM, training and comparing multiple model types from these libraries before ranking the trials. D . Prophet and ARIMA are the libraries AutoML uses specifically for forecasting experiments, not classification; classification trials draw from a different set of algorithm libraries.