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NEW QUESTION: 1
작업을 검토하는 동안 배치 업데이트 중에 오류가 감지되고 데이터베이스가 롤백을 시작했음을 알 수 있습니다. IT 운영자가 롤백을 중지하고 업데이트를 다시 시작했습니다. 운영자는 업데이트를 다시 시작하기 전에 무엇을 해야 합니까?
A. 롤백 완료 허용
B. 업데이트를 다시 시작하기 전에 승인을 얻었습니다.
C. 나중에 롤백을 예약했습니다.
D. 오류의 원인을 확인했습니다.
Answer: A

NEW QUESTION: 2
分類タスクを解決しています。
k分割交差検証を使用して、限られたデータサンプルでモデルを評価する必要があります。 kパラメーターを分割数として構成することから始めます。
交差検定のkパラメーターを構成する必要があります。
どの値を使用する必要がありますか？
A. k=1
B. k=0.5
C. k=5
D. k=0
Answer: C
Explanation:
Explanation
Leave One Out (LOO) cross-validation
Setting K = n (the number of observations) yields n-fold and is called leave-one out cross-validation (LOO), a special case of the K-fold approach.
LOO CV is sometimes useful but typically doesn't shake up the data enough. The estimates from each fold are highly correlated and hence their average can have high variance.
This is why the usual choice is K=5 or 10. It provides a good compromise for the bias-variance tradeoff.

NEW QUESTION: 3
開発者は、AWS Lambda関数として記述された実稼働配布アプリケーションのパフォーマンスの問題を分析する必要があります。これらの分散Lambdaアプリケーションは、アプリケーションを構成する他のコンポーネントを呼び出します。
開発者は、運用環境でのパフォーマンスの問題の根本原因をどのように特定してトラブルシューティングする必要がありますか？
A. AWS Cloud Trailを使用してからログを調べる
B. AWS X-Rayを使用してから、セグメントとエラーを調べます
C. ロギングステートメントをLambda関数に追加し、Amazon CloudWatchを使用してログを表示します。
D. Amazon Inspectorエージェントを実行してからパフォーマンスを分析する
Answer: B

NEW QUESTION: 4
カスタムオブジェクトは報告可能です。
A. True
B. False
Answer: A