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NEW QUESTION: 1
Examine the dtrace command:
dtrace -n 'syscall::open:entry {printf("%s %s", execname, copyinstr(arg0)):}' Identity the D built-in function that is in use.
A. execname
B. entry
C. open
D. copyinstr
Answer: A
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/cd/E19253-01/819-5488/gbxwv/index.html

NEW QUESTION: 2
どのネットワーク層がDAIやDHCPスヌーピングなどのセキュリティ機能に最適ですか？
A. キャンパスアクセス
B. キャンパス分布
C. エンタープライズエッジ
D. キャンパスコア
E. エンタープライズデータセンター
F. リモートアクセスVPN
Answer: A

NEW QUESTION: 3

A. Option C
B. Option A
C. Option B
D. Option D
Answer: D

NEW QUESTION: 4
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。
次の変数に応じて、学生のアートワークの価格を予測するモデルを作成しています：学生の教育期間、学位タイプ、および芸術形態。
まず、線形回帰モデルを作成します。
線形回帰モデルを評価する必要があります。
解決策：次のメトリックを使用します：相対二乗誤差、決定係数、精度、精度、リコール、F1スコア、およびAUC。
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Explanation
Relative Squared Error, Coefficient of Determination are good metrics to evaluate the linear regression model, but the others are metrics for classification models.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model