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NEW QUESTION: 1
サービス運用におけるコミュニケーションの重要な原則はどれですか？
A. 意図された目的または結果として生じるアクションがあります
D18912E1457D5D1DDCBD40AB3BF70D5D
B. 情報は常に伝達されるべきです
C. 構成管理システムに保存されます
D. 会議は常に最良のコミュニケーション手段です
Answer: A
NEW QUESTION: 2
A resource has already resolved. What is the best way to modify a property of an asset resource in an OSGi service implementation?
A. Adapt resource to Node.class, then invoke node.setProperty(''isFlagged'',true),
B. Resource.setProperty(isFlaggedtrue
C. Start a new AssetsManager object, then invoke setAssetPorperty(resource, ''isFlagged.''
D. itemsetPropertyisFlagged true).
Answer: B
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