Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?

• A. A random hyperparameter configuration is returned.
• B. The current best-known hyperparameter configuration is returned.
• C. A hyperparameter configuration with a minimum learning rate is returned.
• D. The last generated hyperparameter configuration is returned.

You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?

• A. F-1 Score
• B. Weighted Recall
• C. Explained Variance Score
• D. Weighted Precision
• E. Mean Absolute Error

You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

• A. Model Catalog
• B. Model Depository
• C. OCI Vault
• D. Data Science Artifactory

The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

• A. Oracle.automl.visualize_algorith_selection_trails()
• B. Oracle.automl.visualize_tuning_trails()
• C. Oracle.automl.visualize_adaptive_sampling_trails()
• D. Oracle.automl.print_trials()

You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

• A. Cramersv_plot{}
• B. Correlation_ratio_plot{}
• C. Pearson_plot{}
• D. Corr{}