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NEW QUESTION: 1
セキュリティ要件を満たす電子メールマルウェアソリューションを推奨する必要があります。
推奨事項に何を含めるべきですか？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

NEW QUESTION: 2
Which two determinant types are used in reference data assignment?
A. Business Unit
B. Account Segment
C. Project Segment
D. Project Unit.
Answer: A,D
Explanation:
Determinant TypesThe partitioned reference data is shared using a business context setting called the determinant type. A determinant type is the point of reference used in the data assignment process. The following table lists the determinant types used in the reference data assignment.
Determinant Type
Description
Asset Book
Information about the acquisition, depreciation, and retirement of an asset that belongs to a ledger or a business unit.
Business Unit
The departments or organizations within an enterprise.
Cost Organization
The organization used for cost accounting and reporting on various inventory and cost centers within an enterprise.
Project Unit
A logical organization within an enterprise that is responsible for enforcing consistent project management practices.
Reference Data Set
References to other shared reference data sets.
https://docs.oracle.com/cloud/latest/financialscs_gs/FAIGL/FAIGL1493157.htm#FAIGL194
553

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Pythonスクリプトを使用して、Azure MachineLearningの実験を実行することを計画しています。スクリプトは、実験実行コンテキストへの参照を作成し、ファイルからデータをロードし、ラベル列の一意の値のセットを識別して、実験実行を完了します。
azureml.coreからインポート実行
パンダをpdとしてインポートする
run = Run.get_context（）
データ= pd.read_csv（ 'data.csv'）
label_vals = data ['label']。unique（）
＃ここに指標を記録するコードを追加
run.complete（）
実験では、後で確認できる実行のメトリックとして、データ内の一意のラベルを記録する必要があります。
コメントで示されたポイントで実行メトリックとして一意のラベル値を記録するには、スクリプトにコードを追加する必要があります。
解決策：コメントを次のコードに置き換えます。
label_valsのlabel_valの場合：
run.log（ 'ラベル値'、label_val）
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: A
Explanation:
The run_log function is used to log the contents in label_vals:
for label_val in label_vals:
run.log('Label Values', label_val)
Reference:
https://www.element61.be/en/resource/azure-machine-learning-services-complete-toolbox-ai