nerdexam
Microsoft

DP-100 · Question #486

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…

The correct answer is A. Yes. The answer is Yes (A). When you create a managed online endpoint in Azure Machine Learning with default settings, the default value of auth_mode is key. Key-based authentication issues API keys, which are non-expiring artifacts. Because the default already configures key…

Train and deploy models

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 in the review screen. You train and register an Azure Machine Learning model. You plan to deploy the model to an online endpoint. You need to ensure that applications will be able to use the authentication method with a non- expiring artifact to access the model. Solution: Create a managed online endpoint with the default authentication settings. Deploy the model to the online endpoint. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(48 responses)
  • A
    73% (35)
  • B
    27% (13)

Explanation

The answer is Yes (A). When you create a managed online endpoint in Azure Machine Learning with default settings, the default value of auth_mode is key. Key-based authentication issues API keys, which are non-expiring artifacts. Because the default already configures key authentication, deploying with default settings implicitly satisfies the requirement for a non-expiring authentication method - no additional configuration is needed. This solution meets the stated goal.

Topics

#Azure Machine Learning#Model Deployment#Online Endpoints#Authentication

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