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NEW QUESTION: 1
Oracle Cloud Infrastructure Container Engine for Kubernetes(OKE)では、レプリカセットは何をしますか?
A. ポッドの宣言的な更新を提供します。
B. 常に実行されているレプリカポッドの安定したセットを維持します。
C. すべてのノードがポッドのコピーを実行することを保証します。
D. 一連のポッドで実行されているアプリケーションを公開します。
Answer: D

NEW QUESTION: 2
Scenario:
CGE is experiencing numerous issues with its existing profile management solution. The Citrix Architect managing the project is tasked with designing a solution that alleviates existing issues and, if possible, minimizes the loss of existing customizations. Configuration changes need to be implemented quickly and with minimal complexity.
Why does enabling 'Active write back' when configuring group profiles benefit CGE's Sales end-user group?
A. It minimizes the required storage needed for folder redirection.
B. It simplifies home drive cleanup.
C. It improves data accuracy in volatile environments.
D. It improves application performance.
Answer: D

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:
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