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NEW QUESTION: 1

A. ISL
B. MPLS
C. Frame Relay
D. 802.1Q
E. PPP
F. HDLC
Answer: D

NEW QUESTION: 2
次のうち、SIEMソリューションのコアコンポーネントではないものはどれですか？
A. 集約
B. エスカレーション
C. 相関
D. コンプライアンス
Answer: B

NEW QUESTION: 3
Refer to the exhibit. OSPFv3 is already running, and R1 has added a new subnet (loopback 11). What is the reason code on R4 when executing the command show ipv6 ospf statistics?

A. P (partial)
B. L (link)
C. N (network)
D. R (router)
Answer: D

NEW QUESTION: 4
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