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NEW QUESTION: 1
EBSスナップショットの作成が開始されたがEBSボリュームが完了していない場合
A. スナップショットが完了するまで使用できません
B. スナップショットが完了するまで、EC2インスタンスのデタッチまたはアタッチを解除できません
C. スナップショットの進行中に読み取り専用モードで使用できます
D. スナップショットの進行中に使用できます
Answer: D
Explanation:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-copy-snapshot.html
NEW QUESTION: 2
You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features.
You use 75 percent of the data points for training and 25 percent for testing. You are using the scikit-learn machine learning library in Python. You use X to denote the feature set and Y to denote class labels.
You create the following Python data frames:
You need to apply the Principal Component Analysis (PCA) method to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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
会社はAmazon EMRクラスターを使用して、1日に1回データを処理します。生データはAmazon S3から取得され、処理された結果データもAmazon S3に保存されます。処理は4時間以内に完了する必要があります。現在、わずか3時間かかります。ただし、処理時間は5〜10分かかります。生データの量が増えるため、毎週長くなります。
チームは、計算能力の増加に伴うコストの上昇も懸念しています。 EMRクラスターは現在、3つのm3 xlargeインスタンス（1つのマスターノードと2つのコアノード）で実行されています。
次のソリューションのうち、増加するコンピューティングニーズに関連するコストを削減するのはどれですか？
A. 追加のタスクノードを追加しますが、コストを相殺するために、追加ノードごとにすべての前もって変換可能なリザーブドインスタンスをチームに購入させます。
B. タスクノードを追加しますが、マスターノードをオンデマンドモードで使用し、コアノードとタスクノードにオンデマンドインスタンスとスポットインスタンスを組み合わせたインスタンスフリートを使用します。マスターノードのスケジュール済みリザーブドインスタンスを購入します。
C. 追加のタスクノードを追加しますが、オンデマンドモードのマスターノードと、コアノードとタスクノードのオンデマンドインスタンスとスポットインスタンスが混在するインスタンスフリートを使用します。マスターノード用の標準のすべての事前予約済みインスタンスを購入します。
D. タスクノードを追加しますが、スポットモードのマスターノードと、コアノードとタスクノードのオンデマンドインスタンスとスポットインスタンスの混合でインスタンスフリートを使用します。オンデマンドインスタンスを実行するコストを相殺するために、十分なスケジュール済みリザーブドインスタンスを購入します。
Answer: A
NEW QUESTION: 4
In video conferences, in order to improve the voice quality, we can use Audio Enhancement Technologies such as()-(Select 3 answers)
A. EC
B. VAD
C. AAC-LD
D. CNG
Answer: A,B,D