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NEW QUESTION: 1
In parameters, Group and ID can contain only the following characters: a to z, A to Z, 0 to 9, underscore(_).
A. True
B. False
Answer: A
NEW QUESTION: 2
Siehe Ausstellung. Was bewirkt diese Konfiguration?
A. Der Switch verwirft den gesamten eingehenden ARP-Verkehr mit ungültigen MAC-zu-IP-Adressbindungen.
B. Der gesamte Eingangs- und Ausgangsverkehr wird gelöscht, da die Schnittstelle nicht vertrauenswürdig ist
C. Der Ausgangsverkehr wird nur weitergeleitet, wenn das Ziel ein DHCP-Server ist.
D. Alle ARP-Pakete werden vom Switch verworfen
Answer: A
Explanation:
Dynamic ARP inspection is an ingress security feature; it does not perform any egress checking.
NEW QUESTION: 3
Pythonで機械学習モデルを作成しています。 提供されたデータセットには、いくつかの数値列と1つのテキスト列が含まれています。 テキスト列は、製品のカテゴリを表します。 製品カテゴリは常に次のいずれかになります。
*自転車
* 車
* バン
*ボート
scikit-learn Pythonパッケージを使用して回帰モデルを構築しています。
scikit-learn Pythonパッケージと互換性があるようにテキストデータを変換する必要があります。
コードセグメントをどのように完成させ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: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/
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