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NEW QUESTION: 1

A. Option D
B. Option C
C. Option B
D. Option A
Answer: C

NEW QUESTION: 2
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 must be a negative value.
B. The data must be whole numbers.
C. The label data must be a positive value
D. The label data can be positive or negative,
E. The label data must be non discrete.
Answer: B,C
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

NEW QUESTION: 3
Refer to the exhibit.

このファイアウォール構成の影響は何ですか？
A. OUTSIDEインターフェイスへのIPトラフィックを制御します。
B. ファイアウォールで終端するIPsecパケットを制御します。
C. ファイアウォールから発信されるIPsecパケットを制御します。
D. IPトラフィックがOUTSIDEインターフェイスから発信されることを制御します。
Answer: B

NEW QUESTION: 4
Refer to the exhibit, you determine that Computer A cannot ping Computer Which reason for the problem is most likely true?

you determine that Computer A cannot ping Computer. Which reason for the problem is most likely true?
A. The subnet mask for computer B is incorrect.
B. The default gateway address for computer B is incorrect.
C. The Subnet mask for Computer A is incorrect.
D. The default gateway address for Computer A is incorrect.
Answer: C
Explanation:
255.255.255.224 =/27