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NEW QUESTION: 1
Your company uses Office 365 and has an Enterprise E3 license plan. Employees are issued laptop computers that are configured with a standard image.
The image includes an installation of Office 365 ProPlus that must be activated by the employees. An employee recently received a new laptop computer to replace an older laptop.
The older laptop will be reimaged.
When the employee attempts to start Word for the first time, she receives a message saying that she cannot activate it because she has already activated five devices.
You need to help the employee activate Office on her new laptop computer.
What should you do?
A. Remove the employee's E3 license and then assign a new E3 license.
B. Sign in to the Office 365 portal by using your Global Admin account and then deactivate the old laptop.
C. Sign in to the Office 365 portal as the employee and deactivate the old laptop.
D. Assign a second E3 license to the employee.
Answer: B
Explanation:
Deactivating Office on a particular device for a specific user can be done with either logging in as the employee and deactivating it, or by using your Global Admin account.
Sign into the Office 365 Portal -> Users -> Active Users -> Select User Name -> Edit Office Installations and pick the device you want to remove.
References: https://support.office.com/en-us/article/Remove-a-former-employee-from-Office-
365-44d96212-4d90-4027-9aa9-a95eddb367d1#bkmk_remove

NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
複数の列に欠損値を含む数値データセットを分析しています。
機能セットの次元に影響を与えることなく、適切な操作を使用して欠損値を消去する必要があります。
すべての値を含めるには、完全なデータセットを分析する必要があります。
解決策：連鎖方程式による多重代入（MICE）メソッドを使用して、各欠損値を置き換えます。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or "Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Note: Multivariate imputation by chained equations (MICE), sometimes called "fully conditional specification" or "sequential regression multiple imputation" has emerged in the statistical literature as one principled method of addressing missing data. Creating multiple imputations, as opposed to single imputations, accounts for the statistical uncertainty in the imputations. In addition, the chained equations approach is very flexible and can handle variables of varying types (e.g., continuous or binary) as well as complexities such as bounds or survey skip patterns.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION: 3
Ein Projekt verwendet mehrere Anbieter. Welches Dokument sollte der Projektmanager verwenden, um die verschiedenen Projektdokumente zu klassifizieren, um die proprietären Informationen eines Anbieters zu schützen?
A. Procurement management plan
B. Project management information system (PMIS)
C. Communications management plan
D. Statement of work (SOW)
Answer: A

NEW QUESTION: 4
In HDLC, the start and end fields of the flag frame are a fixed value, is it?
A. 0
B. 1
C. 2
D. 3
Answer: D