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NEW QUESTION: 1
You need to design a resource governance solution for an Azure subscription. The solution must meet the following requirements:
* Ensure that all ExpressRoute resources are created in a resource group named RG1.
* Delegate the creation of the ExpressRoute resources to an Azure Active Directory (Azure AD) group named Networking.
* Use the principle of least privilege.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: An Azure policy assignment at the subscription level that has an exclusion Box 2: A custom RBAC role assignment at the level of RG1 Azure role-based access control (Azure RBAC) is the authorization system you use to manage access to Azure resources. To grant access, you assign roles to users, groups, service principals, or managed identities at a particular scope.
Reference:
https://docs.microsoft.com/en-us/azure/governance/policy/tutorials/create-and-manage

NEW QUESTION: 2
A budget deficit leads to a shortfall in domestic savings relative to investment because
A. saving falls because of concern about the size of the deficit
B. savers buy government bonds instead of private bonds
C. investment falls because of concern about the size of the deficit
D. saving falls because the interest rate falls
Answer: B

NEW QUESTION: 3

You need to record the row count as a metric named row_count that can be returned using the get_metrics method of the Run object after the experiment run completes. Which code should you use?
A. run.log('row_count', rows)
B. run.upload_file('row_count', './data.csv')
C. run.log_table('row_count', rows)
D. run.tag('row_count', rows)
E. run.log_row('row_count', rows)
Answer: A
Explanation:
Explanation
Log a numerical or string value to the run with the given name using log(name, value, description=''). Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run