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NEW QUESTION: 1
What does the principle of 'data minimization' mean?
A. Personal data shall be processed lawfully, fairly and in a transparent manner in relation to the data subject.
B. Personal data shall be accurate and where necessary kept up to date.
C. Personal data shall be processed in a manner that ensures appropriate security of the personal data.
D. Personal data shall be adequate and limited to what is necessary for the purposes of the processing.
Answer: D
NEW QUESTION: 2
10,000個のデータポイントと150個の特徴を持つ正規化された数値特徴セットを含むマルチクラス分類タスク用に作成されたデータセットがあります。
データポイントの75％をトレーニングに使用し、25％をテストに使用します。 Pythonでscikit-learn機械学習ライブラリを使用しています。 Xを使用して機能セットを示し、Yを使用してクラスラベルを示します。
次のPythonデータフレームを作成します。
トレーニングセットとテストセットの両方で、機能セットの次元を10個の機能に減らすには、主成分分析（PCA）メソッドを適用する必要があります。
コードセグメントをどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: PCA(n_components = 10)
Need to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
Example:
from sklearn.decomposition import PCA
pca = PCA(n_components=2) ;2 dimensions
principalComponents = pca.fit_transform(x)
Box 2: pca
fit_transform(X[, y])fits the model with X and apply the dimensionality reduction on X.
Box 3: transform(x_test)
transform(X) applies dimensionality reduction to X.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
NEW QUESTION: 3
Which of the following solutions are installed with SAP GRC 12.0? Note: There are 3 correct answers to this question.
A. SAP Global Trade Services
B. SAP Nota Fiscal Electronica
C. SAP Risk Management
D. SAP Access Control
E. SAP Process Control
Answer: C,D,E
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