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NEW QUESTION: 1
Azure MachineLearningワークスペースを作成します。
次の要件を満たすという名前のカスタムロールを作成する必要があります。
*ロールメンバーはワークスペースを削除できないようにする必要があります。
*ロールメンバーは、ワークスペースでコンピューティングリソースを作成、更新、または削除できないようにする必要があります。
*ロールメンバーは、ワークスペースに新しいユーザーを追加できないようにする必要があります。
Azure MachineLearningワークスペースでDataScientistロールのJSONファイルを作成する必要があります。
カスタムロールは、IT運用チームによって指定された制限を適用する必要があります。
どのJSONコードセグメントを使用する必要がありますか?
A)
B)
C)
D)
A. オプションC
B. オプションD
C. オプションB
D. オプションA
Answer: D
Explanation:
Explanation
The following custom role can do everything in the workspace except for the following actions:
* It can't create or update a compute resource.
* It can't delete a compute resource.
* It can't add, delete, or alter role assignments.
* It can't delete the workspace.
To create a custom role, first construct a role definition JSON file that specifies the permission and scope for the role. The following example defines a custom role named "Data Scientist Custom" scoped at a specific workspace level:
data_scientist_custom_role.json :
{
"Name": "Data Scientist Custom",
"IsCustom": true,
"Description": "Can run experiment but can't create or delete compute.",
"Actions": ["*"],
"NotActions": [
"Microsoft.MachineLearningServices/workspaces/*/delete",
"Microsoft.MachineLearningServices/workspaces/write",
"Microsoft.MachineLearningServices/workspaces/computes/*/write",
"Microsoft.MachineLearningServices/workspaces/computes/*/delete",
"Microsoft.Authorization/*/write"
],
"AssignableScopes": [
"/subscriptions/<subscription_id>/resourceGroups/<resource_group_name>/providers/Microsoft.MachineLearni
]
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-assign-roles
NEW QUESTION: 2
Which one of the following statements is TRUE for monitor mode debugging?
A. Monitor mode debug might be suitable for debugging timing critical control software
B. Monitor mode debug can be used to halt instruction execution on the processor
C. Monitor mode debug only supports hardware breakpoints and watchpoints
D. Monitor mode debug is only available for ARM processors with a JTAG debug port
Answer: A
NEW QUESTION: 3
A. Option D
B. Option C
C. Option B
D. Option A
Answer: A,D
Explanation:
Explanation
The AWS Documentation provides the following information on lifecycle hooks By default, the instance remains in a wait state for one hour, and then Auto Scaling continues the launch or terminate process (Pending: Proceed or Terminating: Proceed). If you need more time, you can restart the timeout period by recording a heartbeat. If you finish before the timeout period ends, you can complete the lifecycle action, which continues the launch or termination process For more information on AWS Lifecycle hooks, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.html
NEW QUESTION: 4
Where does the Log Processor retain a backup of log information for 14 days?
A. Archive directory
B. Staging directory
C. In process directory
D. Watch directory
Answer: A
