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NEW QUESTION: 1
A. Dsamain
B. Dsadd quota
C. Dsmod
D. Dsacls
E. Group Policy Management Console
F. Active Directory Administrative Center
G. Ntdsutil
H. Active Directory Users and Computers
Answer: B
NEW QUESTION: 2
You are performing a classification task in Azure Machine Learning Studio.
You must prepare balanced testing and training samples based on a provided data set.
You need to split the data with a 0.75:0.25 ratio.
Which value should you use for each parameter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Split rows
Use the Split Rows option if you just want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50.
You can also randomize the selection of rows in each group, and use stratified sampling. In stratified sampling, you must select a single column of data for which you want values to be apportioned equally among the two result datasets.
Box 2: 0.75
If you specify a number as a percentage, or if you use a string that contains the "%" character, the value is interpreted as a percentage. All percentage values must be within the range (0, 100), not including the values 0 and 100.
Box 3: Yes
To ensure splits are balanced.
Box 4: No
If you use the option for a stratified split, the output datasets can be further divided by subgroups, by selecting a strata column.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
NEW QUESTION: 3
Service Busキューに含まれるメッセージの数に基づいてスケーリングするバックエンドAzure App Serviceを開発しています。
未処理の有効なキューメッセージの平均キュー長が1000を超える場合、App Serviceをスケールアップするルールが既に存在します。
スケールアップ条件が満たされない限り、App Serviceを継続的にスケールダウンする新しいルールを追加する必要があります。
スケールルールをどのように構成する必要がありますか?回答するには、回答エリアで適切なオプションを選択します。
注:各正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation