Classification is a type of __ in which models learn using training data and apply those learning to new data

• Supervised Learning
• Unsupervised Learning

WHen using AutoML, the goal of classification models is to predict which categories new data will fall into based on learnings from training data. The possible classifications are

• binary classification
• multiclass classification
• multi-label classification

Using AutoML, you would like to do holiday detection in your data. What would you use

• Classification

• Regression

• Time Series Forecasting

When using AutoML, you want to make ensure high quality input data is being used to train the data. What would you use?

• Data Guard Rails
• ML Explainability (MLX)
• Experiementations
• Model Validation

You are using AutoML, you would like to normalize the data for the model. Which are valid normalization options?

• StandardScaleWrapper

• MinMaxScalar

• MaxAbsScaler

• RobustScalar

• Principal component analysis (PCA)

T/F AutoML will make recommendatioms on which machine learning althorithm model you should use

• "TRue"
• "False"

WIth AutoML, what can be used to help understand and interpret a model's behavior?

• ML Explainability (MLX)
• Data Guard Rails
• Experiementations
• Model Validation

__ is when you compare the results of the training dataset against the test dataset

• Model Validation
• ML Explainability (MLX)
• Data Guard Rails
• Experiementations

Model Validation happens BEFORE/AFTER you train the model

• After
• Before

T/F Custom Vision is a which of the following

• fully-managed
• no-code
• object detection
• programmable