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NEW QUESTION: 1
다음 중 AWS 클라우드의 이점은 무엇입니까? (2 개를 선택하십시오.)
A. 자본 비용
B. 무제한 가동 시간
C. 민첩성
D. 코 로케이션
E. 탄력
Answer: C,E
Explanation:
설명
AWS 클라우드의 가장 유명한 이점은 더 많은 트래픽이 발생할 때 서비스를 확장할 수 있기 때문에 탄력성입니다.
전략을 통한 AWS 클라우드의 민첩한 개발은 매일 전 세계 기업 내에서 점점 확립되고 있습니다. 클라우드에서 많은 개선과 최적화가 요구됨에 따라 이러한 전략은 조직 내에서 처음부터 확립되어야 합니다. 이미 기업에 많은 장애물, 정치 및 계층 구조가 있어 비즈니스에서 장벽 역할을 하는 것이 매우 중요합니다.
참조 : https://www.botmetric.com/blog/evolution-agile-enterprises-aws-cloud/

NEW QUESTION: 2
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. いいえ
B. はい
Answer: B
Explanation:
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

NEW QUESTION: 3
HOTSPOT
You administer an Azure Active Directory (Azure AD) tenant.
You add a custom application to the tenant.
The application must be able to:
- Read data from the tenant directly.
- Write data to the tenant on behalf of a user.
In the table below, identify the permission that must be granted to the application. Make only one selection in each column.

Answer:
Explanation: