Q: 11
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a model to forecast weather conditions based on historical data. You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script. Solution: Run the following code: 
Does the solution meet the goal?
Options
Discussion
Option A This matches what I saw in the official MS docs and some exam practice, where ScriptRunConfig manages both your scripts and data, and setting the environment with from_conda_spec handles the packages.
A . B is tempting but the conda env and sourcedirectory bits are what the exam wants.
A imo. The code uses
ScriptRunConfig with the scripts folder as the source and sets up the Conda environment from the dependencies file, so the packages and data get packaged right. Looks like it covers everything needed for Azure ML training.Be respectful. No spam.