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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same or similar answer choice. An answer choice may be correct for more than one question in the series. Each question is Independent of the other questions in this series. Information and details provided in a question apply only to that question.
Your network contains an Active Directory domain named contoso.com. The domain functional level is Windows Server 2012 R2.
Your company hires 3 new security administrators to manage sensitive user dat a.
You create a user account named Secunty1 for the security administrator.
You need to ensure that the password for Secunty1 has at least 12 characters and is modified every 10 days. The solution must apply to Security 1 only.
Which tool should you use?
A. Dsacis
B. Dsadd quota
C. Dsamain
D. Active Directory Administrative Center
E. Dsmod
Answer: D
Explanation:
Using Fine-Grained Password Policies you specify multiple password policies in a single domain and apply different restrictions for password and account lockout policies to different sets of users in a domain. You can apply stricter settings to privileged accounts and less strict settings to the accounts of other users.
To enable Fine-Grained Password Policies (FGPP), you need to open the Active Directory Administrative Center (ADAC)
https://blogs.technet.microsoft.com/canitpro/2013/05/29/step-by-step-enabling-and-using-fine- grained-password-policies-in-ad/
NEW QUESTION: 2
You are running a training experiment on remote compute in Azure Machine Learning.
The experiment is configured to use a conda environment that includes the mlflow and azureml-contrib-run packages.
You must use MLflow as the logging package for tracking metrics generated in the experiment.
You need to complete the script for the experiment.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: import mlflow
Import the mlflow and Workspace classes to access MLflow's tracking URI and configure your workspace.
Box 2: mlflow.start_run()
Set the MLflow experiment name with set_experiment() and start your training run with start_run().
Box 3: mlflow.log_metric(' ..')
Use log_metric() to activate the MLflow logging API and begin logging your training run metrics.
Box 4: mlflow.end_run()
Close the run:
run.endRun()
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-mlflow
NEW QUESTION: 3
ネットワークにcontoso.comという名前のActive Directoryフォレストが含まれています。 フォレストには、Windows Server 2016を実行するRadius1という名前のネットワークポリシーサーバー(NPS)サーバーが含まれています。
Secure Socket Tunneling Protocol(SSTP)接続のみを許可する新しい接続要求ポリシーを作成する必要があります。 Radius1がすべての認証要求を管理します。
どのNASポートタイプとどの認証方法を接続要求ポリシーに設定する必要がありますか? 回答するには、回答領域で適切なオプションを選択します。
注:それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation: