DP-100 Day 2

You are using automated machine learning to train a model that predicts the species of an iris based on its petal and sepal measurements. Which kind of task should you specify for automated machine learning?

• Regression

• Classification

• Time Series Forecasting

You want to use automated machine learning with car sales data to train a machine learning model that predicts the price of a car based on its make, model, engine size, and mileage.

What task type should you select?

• Regression

• Classification

• Time -Series Forecasting

You are creating a training pipeline using a dataset that has multiple numeric columns. You want to transform the numeric columns so that the values are all on a similar scale.

Which module should you add to the pipeline?

• Select Columns in a Dataset

• Clean Missing Data

• Normalize Data

AutoMl is used for which task types

• Regression

• Classification

• Time-Series Forecasting

• Clustering

There are three main steps to run an automated machine learning experiment using the user interface

• Select Dataset

• Configure run

• Split Dataset

• Task type and Setting

Which evaluation Metric you set for regression task type automated machine learning experiment

• Coefficient of determination

• Precision

• Recall

• AUC

Which evaluation Metric you set for Classification task type automated machine learning experiment (You may select multiple)

• RMSE

• R Squared

• AUC

• F1 Score

In.......................................................you define a dataflow for training a machine learning model as a pipeline.

• AutoML

• Azure CLI

• Designer

Training Pipeline execute Train Score and ...................... step in sequence

• Split Dataset

• Select Algorithm

• Evaluate

• Output

For real-time or batch-prediction which pipeline is used

• Inference

• Training

• Deployment

• None