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NEW QUESTION: 1
Ann is concerned that the application her team is currently developing is vulnerable to unexpected user input that could lead to issues within the memory is affected in a detrimental manner leading to potential exploitation. Which of the following describes this application threat?
A. Buffer overflow
B. Replay attack
C. Distributed denial of service
D. Zero-day exploit
Answer: C

NEW QUESTION: 2
When looking at a dashboard panel that is based on a report, which of the following is true'?
A. You can modify the search string in the panel and you can change and configure the visualization
B. You can modify the search string in the panel but you cannot change and configure the visualization
C. You cannot modify the search string in the panel, but you can change and configure the visualization
D. You cannot modify the search string in the panel, and you cannot change and configure the visualization
Answer: C

NEW QUESTION: 3
2クラスのロジスティック回帰モデルを使用して、バイナリ分類を作成しています。
不均衡のモデル結果を評価する必要があります。
どの評価基準を使用する必要がありますか？
A. 相対絶対誤差
B. 相対二乗誤差
C. 平均絶対誤差
D. AUCカーブ
Answer: D
Explanation:
One can inspect the true positive rate vs. the false positive rate in the Receiver Operating Characteristic (ROC) curve and the corresponding Area Under the Curve (AUC) value. The closer this curve is to the upper left corner, the better the classifier's performance is (that is maximizing the true positive rate while minimizing the false positive rate). Curves that are close to the diagonal of the plot, result from classifiers that tend to make predictions that are close to random guessing.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance#evaluating-a-binary-classification-model