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Explore the Azure Machine Learning workspace Microsoft Quiz Answers
Get Explore the Azure Machine Learning workspace Microsoft Quiz Answers
Throughout this learning path you’ll explore the Azure Machine Learning workspace. Learn how you can create a workspace and what you can do with it. You’ll also explore the various developer tools you can use to interact with the workspace.
This learning path helps prepare you for Exam DP-100: Designing and Implementing a Data Science Solution on Azure.
Prerequisites:
None
Module 1: Explore Azure Machine Learning workspace resources and assets
As a data scientist, you can use Azure Machine Learning to train and manage your machine learning models. Learn what Azure Machine Learning is, and get familiar with all its resources and assets.
Learning objectives:
In this module, you’ll learn how to:
- Create an Azure Machine Learning workspace.
- Identify resources and assets.
- Train models in the workspace.
Prerequisites:
None
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. A data scientist needs access to the Azure Machine Learning workspace to run a script as a job. Which role should be used to give the data scientist the necessary access to the workspace?
- Reader.
- AzureML Data Scientist.
- AzureML Compute Operator.
Q2. The data scientist wants to run a single script to train a model. What type of job is the best fit to run a single script?
- Command
- Pipeline
- Sweep
Module 2: Explore developer tools for workspace interaction
Learn how you can interact with the Azure Machine Learning workspace. You can use the Azure Machine Learning studio, the Python SDK (v2), or the Azure CLI (v2).
Learning objectives:
In this module, you’ll learn how and when to use:
- The Azure Machine Learning studio.
- The Python Software Development Kit (SDK).
- The Azure Command Line Interface (CLI).
Prerequisites:
None
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. A data scientist wants to experiment by training a machine learning model and tracking it with Azure Machine Learning. Which tool should be used to train the model by running a script from their preferred environment?
- The Azure Machine Learning studio.
- The Python SDK.
- The Azure CLI.
Q2. A machine learning model to predict the sales forecast has been developed. Every week, new sales data is ingested and the model needs to be retrained on the newest data before generating the new forecast. Which tool should be used to retrain the model every week?
- The Azure Machine Learning studio.
- The Python SDK.
- The Azure CLI.
Conclusion:
I hope this Explore the Azure Machine Learning workspace Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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