A00-240熱門認證 -最新A00-240考證 & SAS Certified Statistical Business Analyst Using SAS 9: Regression And Modeling Credential - Royalholidayclubbed

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SAS Institute Systems Certification A00-240 IT考試的認證資格得到了國際社會的廣泛認可。

一旦您通過考試，您將獲得不錯的工作機會，所以，選擇A00-240 - SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential熱門認證題庫就是選擇成功，我們將保證您百分之百通過考試。使用Royalholidayclubbed的最新 A00-240 題庫考古題以後你不僅可以一次輕鬆通過考試，還可以掌握考試要求的技能。想通過學習SASInstitute的最新 A00-240 題庫認證考試的相關知識來提高自己的技能，讓別人更加認可你嗎？SASInstitute的考試可以讓你更好地提升你自己。

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但是要想通過A00-240熱門認證資格認證卻不是一件簡單的事。不過只要你找對了捷徑，通過考試也就變得容易許多了。

A00-240 PDF DEMO:

QUESTION NO: 1
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)
A. New cases with missing values on input variables cannot be scored without extra data processing.
B. Complete case analysis means that fewer observations will be used in the model building process.
C. The model will likely be overfit.
D. There will be a high rate of collinearity among input variables.
Answer: A,B

QUESTION NO: 2
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
A. Accuracy = 83/150, Error Rate = 67/150
B. Accuracy = 58/102, Error Rate = 23/48
C. Accuracy = 25/150, Error Rate = 44/150
D. Accuracy = 83/102, Error Rate = 67/102
Answer: B

QUESTION NO: 3
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
A. Chi Square
B. Adjusted R Square
C. Mallow's Cp
D. Average Squared Error
Answer: D

QUESTION NO: 4
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and
60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A. X=40, Y=10
B. X=.10, Y=05
C. X=.05, Y=10
D. X=.05, Y=.40
Answer: C

QUESTION NO: 5
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
A. Training: 0% Validation: 100% Testing: 0%
B. Training: 50% Validation: 50% Testing: 0%
C. Training: 50% Validation: 0% Testing: 50%
D. Training: 100% Validation: 0% Testing: 0%
Answer: B

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Updated: May 28, 2022

by RHC.

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