Free AI-300 – Microsoft AI-300 Practice Test Question

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 on the review screen. You manage an Azure Machine Learning workspace. The Python script named script.py reads an argument named training_data. The training_data argument specifies the path to the training data in a file named dataset1.csv. You plan to run the script.py Python script as a command job that trains a machine learning model. You need to provide the command to pass the path for the dataset as a parameter value when you submit the script as a training job. Solution: python script.py --trainingdata ${{inputs.training_data}} Does the solution meet the goal?

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 have an Azure Machine Learning workspace. You connect to a terminal session from the Notebooks page in Azure Machine Learning studio. You plan to add a new Jupyter kernel that will be accessible from the same terminal session. You need to perform the task that must be completed before you can add the new kernel. Solution: Delete the Python 3.8 - AzureML kernel. Does the solution meet the goal?

HOTSPOT - You use Azure Machine Learning to implement hyperparameter tuning for an Azure ML Python SDK v2-based model training. Training runs must terminate when the primary metric is lowered by 25 percent or more compared to the best performing run. You need to configure an early termination policy to terminate training jobs. Which values should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.