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NEW QUESTION: 1
Ein Administrator gestaltet das Netzwerk eines Unternehmens neu und möchte den Hardwarebedarf reduzieren. Derzeit wird für das gesamte VLAN-Routing eine einzige Switch-Schnittstelle zu einem Router verwendet. Welche der folgenden Möglichkeiten würde die Anzahl der Geräte in dieser Konfiguration verringern?
A. Brücke
B. Schalter
C. Multilayer-Schalter
D. Firewall der nächsten Generation
Answer: C
NEW QUESTION: 2
Which of the following best describes the difference between a circuit based and application based firewall?
A. Circuit based looks at IP addresses and ports
B. Circuit based provides more security
C. Application based is more flexible and handles more protocols
D. Circuit based firewalls are only found in Cisco routers
E. Application based builds a state table
Answer: A
Explanation:
Circuit based look only at IP address and ports, whereas application based dig much deeper into the packet. This makes it more secure.
NEW QUESTION: 3
CSVファイルからテキストを前処理する予定です。 Azure Machine Learning Studioのデフォルトのストップワードリストをロードします。
次の要件を満たすように、テキストの前処理モジュールを構成する必要があります。
*単一の標準形式から複数の関連する単語を確認します。
*テキストからパイプ文字を削除します。
*情報検索を最適化するために単語を削除します。
どの3つのオプションを選択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: Remove stop words
Remove words to optimize information retrieval.
Remove stop words: Select this option if you want to apply a predefined stopword list to the text column. Stop word removal is performed before any other processes.
Box 2: Lemmatization
Ensure that multiple related words from a single canonical form.
Lemmatization converts multiple related words to a single canonical form Box 3: Remove special characters Remove special characters: Use this option to replace any non-alphanumeric special characters with the pipe | character.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/preprocess-text