nerdexam
Microsoft

70-774 · Question #52

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer…

The correct answer is A. Create, open, modify, and delete datasets. B. Create, open, modify, and delete experiments. E. Create, open, modify, and delete web services. Once a Machine Learning workspace is created, you can invite users to your workspace and share access to your workspace and all of its experiments. We support two roles of users: User - A workspace user can create, open, modify and delete datasets, experiments and web services…

Develop machine learning models

Question

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series. Start of repeated scenario You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace. The experiments will be used for training models that will be published to provide scoring from web services. The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem. End of repeated scenario. You plan to share the Machine Learning workspace with the other users. You are evaluating whether to assign the User role or the Owner role to several of the users. Which three actions can be performed by the users who are assigned the User role? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

  • ACreate, open, modify, and delete datasets.
  • BCreate, open, modify, and delete experiments.
  • CInvite users to the workspace.
  • DDelete users from the workspace.
  • ECreate, open, modify, and delete web services.
  • FAccess notebooks.

How the community answered

(48 responses)
  • A
    79% (38)
  • C
    2% (1)
  • D
    6% (3)
  • F
    13% (6)

Explanation

Once a Machine Learning workspace is created, you can invite users to your workspace and share access to your workspace and all of its experiments. We support two roles of users: User - A workspace user can create, open, modify and delete datasets, experiments and web services in the workspace. Owner - An owner can invite, remove, and list users with access to the workspace, in addition to what a user can do. He/she also have access to Notebooks. https://github.com/anthonychu/azure-content/blob/master/articles/machine-learning/machine- learning-create-workspace.md

Topics

#workspace roles#user permissions#Azure ML Studio#contributor access

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