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NEW QUESTION: 1
What is an example of a just-in-time notice?
A. A warning that a website may be unsafe.
B. A credit card company calling a user to verify a purchase before it is authorized.
C. A full organizational privacy notice publicly available on a website.
D. Privacy information given to a user when he attempts to comment on an online article.
Answer: C
NEW QUESTION: 2
Maximum Tolerable Downtime（MTD）は何を決定しますか？
A. 冗長システムが使用される前のDRプロセスの固定時間
B. ビジネスクリティカルなデータベースが顧客の影響を受ける前に停止していると予測される期間。
C. ビジネスが中断されずに回復できないリスクがあると推定される期間
D. 企業が災害復旧（DR）計画を立てずに災害に耐えることができる一定期間
Answer: C
NEW QUESTION: 3
On a Stingray Traffic Manager (STM), IP transparency is configured:
A. On a per Pool basis and would not require the server's default gateway to be the STM's IP address
B. On a per Virtual Server or Pool basis and would not require the server's default gateway to be the STM's IP address
C. On a per Virtual Server basis and would not require the server's default gateway to be the STM's IP address
D. On a per Pool basis and would require the server's default gateway to be the STM's IP address
E. On a per Virtual Server basis and would require the server's default gateway to be the Stingray Traffic Manager's IP address
Answer: D
NEW QUESTION: 4
決定木アルゴリズムを使用しています。次のツリー深度で一般化するモデルを訓練しました。
10。
さまざまなツリー深度値を持つモデルのバイアスおよび分散プロパティを選択する必要があります。
各ツリーの深さに対してどのプロパティを選択する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
Answer:
Explanation:
Explanation:
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/