GSI DP-100 Day 1

Which of the following descriptions accurately describes Azure Machine Learning?

• A Python library that you can use as an alternative to common machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow.

• An application for Microsoft Windows that enables you to create machine learning models by using a drag and drop interface.

• A cloud-based platform for operating machine learning solutions at scale.

Which edition of Azure Machine Learning workspace should you provision if you only plan to use the graphical Designer tool to train machine learning models?

• Enterprise

• Basic

You need a cloud-based development environment that you can use to run Jupyter notebooks that are stored in your workspace. The notebooks must remain in your workspace at all times.

What should you do?

• Install Visual Studio Code on your local computer.

• Create a Compute Instance compute target in your workspace.

• Create a Training Cluster compute target in your workspace.

You plan to use the Workspace.from_config() method to connect to your Azure Machine Learning workspace from a Python environment on your local workstation. You have already used pip to install the azureml-sdk package.

What else should you do?

• What else should you do? Run pip install azureml-sdk['notebooks'] to install the notebooks extra.

• Download the config.json file for your workspace to the folder containing your local Python code files.

• Create a Compute Instance compute target in your workspace.

You want to use automated machine learning with car sales data to train a machine learning model that predicts the price of a car based on its make, model, engine size, and mileage.

What task type should you select?

• Regression

• Classification

• Time-Series forecasting

You must create a compute target for training experiments that require a graphical processing unit (GPU). You want to be able to scale the compute so that multiple nodes are started automatically as required. Which kind of compute target should you create?

• Compute Instance

• Compute Cluster

• Inference Cluster

A bank wants to use historic loan repayment records to categorize loan applications as low-risk or high-risk based on characteristics like the loan amount, the income of the borrower, and the loan period. What kind of machine learning model should the bank use automated machine learning to create?

• Regression

• Classification

• Time-Series Forecasting

Which of following is a wizard interface that enables you to train a model using a combination of algorithms and data preprocessing techniques to find the best model

• Auto ML

• Designer

• Notebook

• Compute

Which of following is not an assets of AzureML Workspace.

You can select Multiple

• Compute

• Storage Account

• Notebook

• Experiments

How you are able to create AzureML workspace?.

You can select multiple option as part of answer

• Azure Portal

• Azure CLI

• AzureML python SDK

• Azure Resource Manager template