dp-100-data-scientist-assoc video for scenario: The Tivan Group , an influential and prestigious entity in the galactic community, has been responsible for
Scenario: The Tivan Group , an influential and prestigious entity in the galactic community, has been responsible for founding Knowhere and contributing significantly to the galaxy’s economy. Taneleer Tivan, the infamous Collector, leads the organization and is currently overseeing the implementation of Microsoft Azure within the company. The IT team is preparing to build a deep learning convolutional neural network model for image classification . A data scientist has created a script designed to train the model using CUDA devices . To proceed, they must submit an experiment to run the script within the Azure Machine Learning workspace . Available Compute Resources: A Microsoft Surface device with Microsoft Office installed (restricted by corporate policies from additional software installation) . A Compute Instance ( ds-workstation ) with 2 CPUs and 8 GB of memory . An Azure Machine Learning compute target ( CPU-cluster ) with eight CPU-based nodes . An Azure Machine Learning compute target ( gpu-cluster ) with four CPU and GPU-based nodes . Requirement: The data scientist must choose the optimal compute resources for both experiment submission and script execution to minimize model training time . Question: Which of the available compute resources should the data scientist use for running the code and training the model ?