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NEW QUESTION: 1
IKEリアルタイムデバッグの部分的な出力を含む展示を表示して、以下の質問に答えてください。
デバッグ出力に基づいて、このフェーズ1の設定はこのVPNの構成で有効になっていますか？
A. auto-discovery-forwarder
B. 自動検出送信者
C. 自動検出レシーバー
D. 自動検出ショートカット
Answer: B
NEW QUESTION: 2
Which program is started by SAPINST to ensure that the ABAP DDIC is consistent in the target system?
Please choose the correct answer
A. MIGCHECK
B. DIPGNTAB
C. R3LOAD
D. R3SZCHK
Answer: B
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。
Azure Machine Learningを使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdriveを使用して、モデルのAUCメトリックを最適化するパラメーターを見つけたいと考えています。次のコードを実行して、実験用にHyperDriveConfigを構成します。
この構成を使用して、ランダムフォレストモデルをトレーニングし、検証データでテストするスクリプトを実行することを計画しています。検証データのラベル値はy_test変数という名前の変数に格納され、モデルから予測された確率はy_predictedという名前の変数に格納されます。
HyperdriveがAUCメトリックのハイパーパラメータを最適化できるようにするには、スクリプトにログを追加する必要があります。
解決策：次のコードを実行します。
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: B
Explanation:
Use a solution with logging.info(message) instead.
Note: Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines