DP-100 Question #160: Real Exam Question with Answer & Explanation

Question

You create a pipeline in designer to train a model that predicts automobile prices. Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the training data, trains a model to predict this natural log of price value, and then calculates the exponential of the scored label to get the predicted price. The training pipeline is shown in the exhibit. (Click the Training pipeline tab.) Training pipeline You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the Real-time pipeline tab.) Real-time pipeline You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored label as the predicted automobile price and that client applications are not required to include a price value in the input values. Which three modifications must you make to the inference pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options

• AConnect the output of the Apply SQL Transformation to the Web Service Output module.
• BReplace the Web Service Input module with a data input that does not include the price column.
• CAdd a Select Columns module before the Score Model module to select all columns other than
• DReplace the training dataset module with a data input that does not include the price column.
• ERemove the Apply Math Operation module that replaces price with its natural log from the data
• FRemove the Apply SQL Transformation module from the data flow.