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NEW QUESTION: 1
An engineer is deciding what BFD implementation would be most appropriate for a legacy and unstable Packet Over SONET link. Which solution should be suggested?
A. aggressive timers with a very high multiplier
B. averages of a sequence of ping test response times to the remote peer
C. aggressive timers with the lowest possible multiplier
D. slow timers withthe lowest possible multiplier
Answer: C
NEW QUESTION: 2
Welche der folgenden Aussagen identifizieren den Zweck des Geschäftsbeziehungsmanagements?
1. Aufbau und Pflege einer Geschäftsbeziehung zwischen Dienstleister und Kunde
2. Ermittlung der Kundenbedürfnisse und Sicherstellung, dass der Dienstanbieter diese erfüllen kann
A. nur 2
B. nur 1
C. Beide oben genannten
D. Keine der oben genannten
Answer: C
NEW QUESTION: 3
買収後、コンプライアンス要件の対象となるレガシーアプリケーションは、段階的に廃止されるまで引き続き使用することが決定されました。情報システム監査人は、制御の冗長性がある場所とギャップが存在する可能性がある場所を決定する必要があります。次の活動のうち、この決定を行うのに最も役立つのはどれですか？
A. リスク評価
B. 制御テスト
C. 自己評価の管理
D. 制御マッピング
Answer: D
NEW QUESTION: 4
You are building a regression model tot estimating the number of calls during an event.
You need to determine whether the feature values achieve the conditions to build a Poisson regression model.
Which two conditions must the feature set contain? I ach correct answer presents part of the solution. NOTE:
Each correct selection is worth one point.
A. The label data can be positive or negative,
B. The label data must be a negative value.
C. The label data must be a positive value
D. The label data must be non discrete.
E. The data must be whole numbers.
Answer: C,E
Explanation:
Explanation
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
* The response variable has a Poisson distribution.
* Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
* A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression
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