Online Access Free 1z0-1110-22 Practice Test

You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?

• A.Accumulated Local Effects.
• B.Feature Permutation Importance Explanations.
• C.Feature Dependence Explanations.
• D.Local Interpretable Model-Agnostic Explanations.

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

You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

• A.Local explanation techniques are model agnostic, while global explanation techniques are not.
• B.Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
• C.Global and local behaviors of machine learning models are similar.
• D.Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.

The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?

• A.Regression Analysis
• B.K-Means Clustering
• C.Multiclass Classification
• D.Recurrent Neural Network
• E.Binary Classification
• F.Principal Component Analysis

You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?

• A.Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
• B.Accelerated Data Science (ADS) Software Development Kit (SDK)
• C.OCI Python SDK
• D.Git CLI
• E.Console
• F.ODSC CLI