You create a pipeline in Azure Machine Learning designer to train a model that predicts automobile prices. Due to non-linear relationships in the data, the pipeline computes the natural logarithm (ln) of the prices in the training data, trains a model to predict this ln(price) value, and then calculates the exponential of the scored label to produce the predicted price.

The training pipeline is shown in the exhibit under the "Training pipeline" tab.

You create a real-time inference pipeline from this training pipeline, shown in the exhibit under the "Real-time pipeline" tab.

You need to modify the inference pipeline so that the web service returns the exponential of the scored label as the predicted automobile price, and so that client applications are not required to include a price value in the input data.

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.