Databricks Certified Machine Learning Associate Exam Questions & Answers

All 20 questions

1. Q1 A data scientist is using MLflow to manage machine learning experiments and versions. They want to update the metadata of an existing…
2. Q2 In an AutoML experiment, what are the evaluation metrics automatically calculated for each run when dealing with regression problems?
3. Q3 A data scientist is using 3-fold cross-validation and a specific hyperparameter grid for optimizing model hyperparameters via grid search in a classification…
4. Q4 Which of the following options in Pandas API on Spark sets the limit for a shortcut and computes a specified number of…
5. Q5 What is the potential reason for the reduced performance speed when using the pandas API compared to native Spark DataFrames, especially for…
6. Q6 What are the standard evaluation metrics automatically computed for each run in an AutoML experiment when dealing with classification problems? Choose only…
7. Q7 When creating a pandas-on-Spark DataFrame from a Spark DataFrame, what caution should be considered regarding the default index?
8. Q8 A machine learning team wants to use the Python library newpackage on all of their projects. They share a cluster for all…
9. Q9 A Data scientist has created two regression models. The first model uses price as a label variable and the second model uses…
10. Q10 What is the primary goal of using dimensionality reduction techniques in Spark ML workflows?
11. Q11 A senior data scientist is working on a machine learning project using MLflow. They want to implement a feature that allows for…
12. Q12 Which Databricks tool provides support for end-to-end machine learning lifecycle management?
13. Q13 A data scientist employs MLflow for tracking their machine learning experiment. As part of each MLflow run, they conduct hyperparameter tuning. The…
14. Q14 A machine learning model has been trained and evaluated successfully using Databricks MLlib. The data scientist now needs to deploy the model…
15. Q15 What is the purpose of the feature_store_lookups parameter in AutoML?
16. Q16 A data scientist is working on a regression task in Databricks using Spark MLlib. They have computed predictions and true labels stored…
17. Q17 What skill is valuable in modern data science for managing multi-task ML workflows?
18. Q18 How does Spark ML tackle a linear regression problem for an extraordinarily large dataset? Which one of the options is correct?Choose only…
19. Q19 A data scientist has designed a three-class decision tree classifier utilizing Spark MLandcomputed the predictions in a Spark DataFrame, named preds_dt, with…
20. Q20 What is the key difference between DataFrame.pandas_on_spark.transform_batch() and DataFrame.pandas_on_spark.apply_batch()?