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NEW QUESTION: 1
Which of the following is an NI deliverable during sales phase?
A. Acceptance procedure
B. Care plan
C. Project Target Agreement
D. Logistics plan
Answer: A

NEW QUESTION: 2
-- Exhibit --
[edit protocols ospf]
user@R2# show
area 0.0.0.6 {
nssa {
default-lsa default-metric 10;
area-range 184.23.12.0/24;
}
interface ge-1/1/4;
}
[edit protocols ospf]
user@R2# show ospf database
OSPF database, Area 0.0.0.0
Type ID Adv Rtr Seq Age Opt Cksum Len
Router *192.168.0.2 192.168.0.2 0x80000004 749 0x22 0x87c2 60
Router 192.168.0.3 192.168.0.3 0x80000004 399 0x22 0x94b5 60
Summary *10.0.0.0 192.168.0.2 0x80000003 19 0x22 0xe2e4 28
Summary *192.168.0.1 192.168.0.2 0x80000002 1100 0x22 0xbda7 28
OSPF database, Area 0.0.0.6
Type ID Adv Rtr Seq Age Opt Cksum Len
Router 192.168.0.1 192.168.0.1 0x80000004 404 0x20 0x76db 60
Router *192.168.0.2 192.168.0.2 0x80000003 1802 0x20 0x319b 48
Summary *11.0.0.0 192.168.0.2 0x80000002 2504 0x20 0xf5d3 28
Summary *192.168.0.2 192.168.0.2 0x80000003 2153 0x20 0xc5a0 28
Summary *192.168.0.3 192.168.0.2 0x80000002 398 0x20 0xc79d 28 NSSA *0.0.0.0 192.168.0.2 0x80000001 11 0x20 0xcbf1 36 NSSA 184.23.12.0 192.168.0.1 0x80000002 447 0x28 0xb93f 36
OSPF AS SCOPE link state database
Type ID Adv Rtr Seq Age Opt Cksum Len Extern *184.23.12.0 192.168.0.2 0x80000003 11 0x22 0x28d6 36 -- Exhibit -
Click the Exhibit button.
Referring to the exhibit, which two statements are correct? (Choose two.)
A. R2 is an ABR.
B. R2 injects a Type 5 LSA for 184.23.12.0/24 into the backbone.
C. R2 injects a Type 3 LSA for 184.23.12.0/24 into the backbone.
D. R2 is an ASBR.
Answer: A,B

NEW QUESTION: 3
Azure Machine Learning Studioで実験を作成します。 10,000行を含むトレーニングデータセットを追加します。最初の9,000行はクラス0（90パーセント）を表します。
残りの1,000行はクラス1（10パーセント）を表します。
トレーニングセットは、2つのクラス間の不均衡です。 5つのデータ行を使用して、クラス1のトレーニング例の数を4,000に増やす必要があります。 Synthetic Minority Oversampling Technique（SMOTE）モジュールを実験に追加します。
モジュールを構成する必要があります。
どの値を使用する必要がありますか？回答するには、回答領域のダイアログボックス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:

説明

ボックス1：300
300（％）と入力すると、モジュールは元のデータセット（1000）と比較して少数派の割合（3000）を3倍にします。
ボックス2：5
5つのデータ行を使用する必要があります。
[最近傍の数]オプションを使用して、SMOTEアルゴリズムが新しいケースを構築するときに使用する機能空間のサイズを決定します。最近傍とは、あるターゲットケースに非常によく似たデータ行（ケース）です。任意の2つのケース間の距離は、すべてのフィーチャの加重ベクトルを組み合わせて測定されます。
最近傍の数を増やすことで、より多くのケースからフィーチャを取得できます。
最近傍の数を少なく保つことにより、元のサンプルの機能に似た機能を使用します。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

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