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Microsoft

AI-100 · Question #46

You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com. You need to recommend a solution to ensure that…

The correct answer is B. Obtain an SSL certificate D. Update the web service E. Update DNS. The process of securing a new web service or an existing one is as follows: 1. Get a domain name. 2. Get a digital certificate. 3. Deploy or update the web service with the SSL setting enabled. 4. Update your DNS to point to the web service. Note: To deploy (or re-deploy) the…

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Question

You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com. You need to recommend a solution to ensure that access to the web service is encrypted. Which three actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options

  • AGenerate a shared access signature (SAS)
  • BObtain an SSL certificate
  • CAdd a deployment slot
  • DUpdate the web service
  • EUpdate DNS
  • FCreate an Azure Key Vault

How the community answered

(33 responses)
  • A
    3% (1)
  • B
    76% (25)
  • C
    6% (2)
  • F
    15% (5)

Explanation

The process of securing a new web service or an existing one is as follows: 1. Get a domain name. 2. Get a digital certificate. 3. Deploy or update the web service with the SSL setting enabled. 4. Update your DNS to point to the web service. Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of the key file. https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service

Topics

#SSL certificate#web service encryption#Azure ML deployment#DNS configuration

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