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NEW QUESTION: 1
Azure Machine Learning Studioで新しい実験を作成しています。多くの列に欠損値がある小さなデータセットがあります。データでは、各列に予測変数を適用する必要はありません。欠損データの処理モジュールを使用して、欠損データを処理する予定です。
データクリーニング方法を選択する必要があります。
どの方法を使用する必要がありますか？
A. 正規化
B. を使用して置き換えます。確率的PCA
C. 合成マイノリティオーバーサンプリングテクニック（SMOTE）
D. MICEを使用して交換
Answer: B
Explanation:
Replace using Probabilistic PCA: Compared to other options, such as Multiple Imputation using Chained Equations (MICE), this option has the advantage of not requiring the application of predictors for each column. Instead, it approximates the covariance for the full dataset. Therefore, it might offer better performance for datasets that have missing values in many columns.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data
NEW QUESTION: 2
DRAG DROP
Drag each NTP command on the left to its effect on the right.
Answer:
Explanation:
NEW QUESTION: 3
A wireless printer has been configured with a static IP address. Which action does the Cisco WLC take in response?
A. It does not transfer location information to the printers.
B. It does not transfer AAA requests to the printers.
C. It does not transfer ARP requests to the printers.
D. It does not transfer join requests to the printers.
Answer: B
NEW QUESTION: 4
A network administrator wants to see what ports are open on a server. Which of the following commands will show open ports?
A. netstat
B. nslookup
C. tracert
D. nbtstat
Answer: A
Explanation:
Netstat command displays various network related information such as network connections, routing tables, interface statistics, masquerade connections, multicast memberships etc.
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