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NEW QUESTION: 1
A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations.
The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the trained model is applied to a previously unseen validation dataset. The accuracy of the model is
99.1%, but the Data Scientist has been asked to reduce the number of false negatives.
Predicted 0 1
Actual 0 99,966| 34 1 877|123
Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model? (Select TWO.)
A. Change the XGBoost eval_metric parameter to optimize based on rmse instead of error.
B. Decrease the XGBoost max_depth parameter because the model is currently overfitting the data.
C. Increase the XGBoost max_depth parameter because the model is currently underfitting the data.
D. Increase the XGBoost scale_pos_weight parameter to adjust the balance of positive and negative weights.
E. Change the XGBoost evaljnetric parameter to optimize based on AUC instead of error.
Answer: A

NEW QUESTION: 2
What are message attributes (sometimes called headlines) in the Java GUI? (Select three.)
A. Class
B. Status
C. Priority
D. Application
E. Severity
F. Message Group
Answer: D,E,F

NEW QUESTION: 3
SysOps管理者は、Amazon EC2自動スケーリンググループのAmazon EBS-backed Amazon EC2インスタンスで実行されているアプリケーションを維持しています。アプリケーションは、異常なインスタンスを自動的に終了するように設定されています。管理者は、障害分析のためにこれらのインスタンスのアプリケーションログを保持したいと考えています。
これを達成するアクションはどれですか？
A. ログをAmazon CloudWatch Logsにストリーミングするように統合CloudWatchエージェントを構成します。
B. EC2の状態変更が終了するとログをAmazon S3に転送するようにAmazon CloudWatchイベントルールを構成します。
C. EC2インスタンスをホストするサブネットのVPCフローログを構成します。
D. ストレージタイプをEBSからインスタンスストーンに変更します。
Answer: A