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NEW QUESTION: 1
You manage Active Directory Domain Services (AD DS) for a company. You assign Office 365 licenses to all users. You implement Microsoft Azure Active Directory (Azure AD) Connect.
Your company terminates an employee.
You need to ensure that the terminated employee can no longer access any Office 365 rescues.
Which Windows PowerShell cmdlet should you run?
A. Set-AdUser
B. Set-MsolUser
C. Remove-MsolServicePrincipal
D. Remove-MsolServicePrincipalCredential
Answer: A
Explanation:
Explanation
If your organization synchronizes user accounts to Office 365 from a local Active Directory environment, you must delete those user accounts in your local Active Directory service. You can't delete or restore them in Office 365. Therefore, you have to make use of the Set-AdUser cmdlet.
References:
https://support.office.com/en-us/article/remove-a-former-employee-from-office-365-44d96212-4d90-4027-9aa9-
https://docs.microsoft.com/en-us/powershell/module/addsadministration/set-aduser?view=win10-ps

NEW QUESTION: 2
SAP HANAデータベースのアップグレード中のビジネスダウンタイムを最小限に抑えるために使用できる更新方法はどれですか。注：正解は2つあります。
A. SAP Provisioning Managerを使用したエクスポート/インポート
B. ほぼゼロのダウンタイム
C. SUMのデータベース移行オプション
D. フェーズの更新
Answer: B,C

NEW QUESTION: 3
どのオブジェクトをフォルダに保存できますか？
A. レポート
B. ドキュメント
C. メール
D. ダッシュボード
Answer: A,B,D

NEW QUESTION: 4
Which of the following are feature engineering techniques? (Select 2 answers)
A. Feature prioritization
B. Bucketization of a continuous feature
C. Hidden feature layers
D. Crossed feature columns
Answer: B,D
Explanation:
Selecting and crafting the right set of feature columns is key to learning an effective model. Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical feature into a bucket ID (as a categorical feature) depending on which bucket that value falls into. Using each base feature column separately may not be enough to explain the data. To learn the differences between different feature combinations, we can add crossed feature columns to the model.
Reference:
https://www.tensorflow.org/tutorials/wide#selecting_and_engineering_features_for_the_model