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NEW QUESTION: 1


While using the Microsoft Assessment and planning toolkit, please answer the following question.
What is the average CPU utilization?
A. 0.16%
B. 6.61%
C. 1.09%
D. 52.31%
E. 13.31%
Answer: B

NEW QUESTION: 2
Which of the following statements are true:
I. Heavy tailed parametric distributions are a good choice for severity modeling in operational risk.
II. Heavy tailed body-tail distributions are a good choice for severity modeling in operational risk.
III. Log-likelihood is a means to estimate parameters for a distribution.
IV. Body-tail distributions allow modeling small losses differently from large ones.
A. I and IV
B. II, III and IV
C. II and III
D. All of the above
Answer: D
Explanation:
Explanation
When modeling for operational risk, we are generally concerned with tail losses - this is because the horizon for operational risk is 1 year at the 99.9th percentile. Since the 99.9th percentile is in the tail region, we would like to ensure that the tails are modeled as accurately as possible. Operational risk distributions are modeled using heavy tailed distributions.
Heavy tailed parametric distributions such as log-normal, pareto and others are therefore a good choice for modeling risk severity, therefore statement I is correct.
Body-tail distributions are combinations of parametric distributions, with different types of distributions being used to model the body and the tail - this provides flexibility because small and medium losses upto a threshold can be modeled using one distribution, and losses beyond the threshold can be modeled using a different distribution that is a better estimate of the tail. Statement II is therefore correct.
A log-likelihood function simplifies the optimization of a regular likelihood function. We generally maximize (or minimize the risk functional) a likelihood function with a view to estimating the parameters of the underlying distribution. If the likelihood function is complex, it may sometimes make it mathematically easier to optimize the log of the function - as that changes exponents and multiplications to additions, while behaving in the same way as the underlying function. Therefore statement III is correct, log-likelihood is a means to estimate parameters for a distribution.
Statement IV is correct as body-tail distributions allow modeling different parts of the distribution differently from each other.

NEW QUESTION: 3
展示を参照してください。

セキュリティ管理者は、Cisco FDM REST APIを使用して本番Webサーバに向かうトラフィックを一時的に禁止する必要があります。展示に示されているように、管理者はAPIクエリを送信します。
その行動の結果は何ですか？
A. 必須パラメーター、ソース、宛先、およびサービスが欠落しているため、指定されたコードは実行されません。
B. ソース、宛先、サービス、およびその他のフィールドが「すべて」に設定され、アクションが「拒否」に設定された新しいルールが作成されます。期待どおりに、本番Webサーバーへのトラフィックは許可されません。
C. HTTPメソッド「PUT」を使用するため、指定されたコードは実行されません。 HTTPメソッド「POST」を使用する必要があります。
D. 適切なルールが更新され、ソース、宛先、サービス、その他のフィールドが「すべて」に設定され、アクションが「拒否」に設定されます。期待どおりに、本番Webサーバーへのトラフィックは許可されません。
Answer: D

NEW QUESTION: 4



A. mondayyr10
B. mmddyy10
C. date9
D. ddmmyy10
Answer: B

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