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NEW QUESTION: 1
Scale the deployment from 5 replicas to 20 replicas and verify
Answer:
Explanation:
kubectl scale deploy webapp --replicas=20 kubectl get deploy webapp kubectl get po -l app=webapp

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. The domain contains a file server named Server1 that runs Windows Server 2012.
You create a user account named User1 in the domain.
You need to ensure that User1 can use Windows Server Backup to back up Server1. The solution must minimize the number of administrative rights assigned to User1.
What should you do?
A. Assign User1 the Back up files and directories user right and the Restore files and directories user right.
B. Assign User1 the Back up files and directories user right.
C. Add User1 to the Power Users group.
D. Add User1 to the Backup Operators group.
Answer: B
Explanation:
Backup Operators have these permissions by default:

However the question explicitly says we need to minimize administrative rights. Since the requirement is for backing up the data only--no requirement to restore or shutdown--then assigning the "Back up files and directories user right" would be the correct. answer.

NEW QUESTION: 3
Azure MachineLearningワークスペースを作成します。
次の要件を満たすDataScientist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、ワークスペースで計算リソースを作成、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B
B. オプションC
C. オプションD
D. オプションA
Answer: D
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.MachineLearningServices/workspaces/<workspace_name>"
]
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-assign-roles