A00-406

Refer to the exhibit below: Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?A . Logi_rfm4B . Logi_rfm6C . Logi_rfm8D . Logi_rfm12View AnswerAnswer: D

What is the main advantage of ensemble methods in model building?A . They require minimal data preprocessingB . They produce simple and interpretable modelsC . They combine multiple models to improve predictive performanceD . They work well with high-dimensional dataView AnswerAnswer: C

Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?A . MySQLB . MongoDBC . Oracle DatabaseD . Microsoft SQL ServerView AnswerAnswer: B

What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?A . To evaluate regression modelsB . To visualize data distributionC . To compare a model's true positive rate with the false positive rateD . To measure feature importanceView AnswerAnswer: C

What is the primary goal of A/B testing in the context of model deployment?A . To evaluate the model's accuracyB . To compare two different versions of a model or strategy to determine which performs betterC . To assess data qualityD . To create synthetic dataView AnswerAnswer: B

What is the primary purpose of model documentation in the model deployment phase?A . To create synthetic dataB . To assess data qualityC . To provide information on the model's development, architecture, and usageD . To evaluate the model's accuracyView AnswerAnswer: C

Which statements are true for the F1 score? (Choose 2.)A . F1 score is calculated based on a depth value.B . F1 score is calculated based on a cut off value.C . F1 score is applicable to a model with a binary target.D . F1 score is applicable to a...

What is overfitting in machine learning, and how can it be addressed in a pipeline?A . Overfitting occurs when the model is too simple and underperforms.B . Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.C...

When deploying a machine learning model, what is meant by "model latency"?A . The time it takes to build a modelB . The time it takes to train a modelC . The time it takes for the model to make predictions once deployedD . The time it takes to create...

What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?A . Real-time data processingB . Support for complex data structuresC . Simple and standardized communicationD . High security featuresView AnswerAnswer: C