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NEW QUESTION: 1
Welche der folgenden Informationen enthält die MEISTEN relevanten Informationen zum proaktiven Verstärken der Sicherheitseinstellungen?
A. Bastionswirt
B. Honigtopf
C. Einbruchmeldesystem
D. Intrusion Prevention System
Answer: B
Explanation:
Erläuterung:
Das Design eines Honeypots ist so konzipiert, dass es den Hacker anlockt und Hinweise auf die Methoden und Strategien des Hackers sowie auf die Ressourcen gibt, die zur Bekämpfung solcher Angriffe erforderlich sind. Ein Bastionswirt liefert keine Informationen über einen Angriff. Intrusion Detection-Systeme und Intrusion Prevention-Systeme wurden entwickelt, um einen laufenden Angriff zu erkennen, zu adressieren und so schnell wie möglich zu stoppen. Über einen Honeypot kann der Angriff fortgesetzt werden, um Informationen über die Strategie und Methoden des Hackers zu erhalten.

NEW QUESTION: 2
アウトバウンド販売のためにビジネス開発チームが開発すべきスキルはどれですか？ （3つ選択してください）
A. 交渉とコミュニケーション
B. 横向きの思考
C. 紛争管理と解決
D. 結果ベースの考え方
E. 批判的思考
F. 変革的なネットワーキングの考え方
Answer: A,D,F

NEW QUESTION: 3
When log sizing is factored for the Cortex Data Lake on the NGFW, what is the average log size used in calculation?
A. depends on the Cortex Data Lake tier purchased
B. 1500 bytes
C. 8MB
D. 18 bytes
Answer: B
Explanation:
https://knowledgebase.paloaltonetworks.com/KCSArticleDetail?id=kA10g000000ClVMCA0

NEW QUESTION: 4
Azure Machine Learning Studioで線形回帰モデルを開発しています。さまざまなアルゴリズムを比較する実験を実行します。
次の画像は、結果データセットの出力を示しています。

ドロップダウンメニューを使用して、画像に表示される情報に基づいて各質問に回答する回答の選択肢を選択します。
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: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression