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NEW QUESTION: 1
During a VMware SD-WAN design session for a core business application, a customer expressed the following requirements:
* Allow business abstraction so that similar policies can be applied across different hardware types.
* Eliminate the need for the operations team to know the type of physical connectivity or the WAN carrier.
* Maintain SLA for real-time application.
Which design should be taken in terms of Link Steering?
A. Deselect Error Correct before Steering Defaults.
B. Select Transport Group, and then select Preferred option.
C. Select Error Correct Before Steering with % definition
D. Select WAN Link, and then define the DSCP tagging
Answer: D
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
NEW QUESTION: 3
Azure Machine Learning Studioで分類タスクを実行しています。
提供されたデータセットに基づいて、バランスの取れたテストおよびトレーニングサンプルを準備する必要があります。
0.75：0.25の比率でデータを分割する必要があります。
各パラメーターにどの値を使用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：それぞれの正しい選択には1ポイントの価値があります。
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
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