RELIABLE A00-255 STUDY NOTES & LATEST A00-255 TEST OBJECTIVES

Reliable A00-255 Study Notes & Latest A00-255 Test Objectives

Reliable A00-255 Study Notes & Latest A00-255 Test Objectives

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Tags: Reliable A00-255 Study Notes, Latest A00-255 Test Objectives, Certification A00-255 Exam Infor, A00-255 Technical Training, A00-255 Real Torrent

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SASInstitute A00-255 Certification Exam consists of 70 multiple-choice and short-answer questions that need to be completed within 2 hours and 30 minutes. The topics covered in the exam include data preparation, variable selection, model assessment, and deployment. A00-255 exam also tests the candidate's ability to interpret results and communicate findings to stakeholders. A00-255 exam is available in English and can be taken online or in person at SASInstitute authorized testing centers.

SASInstitute A00-255 (SAS Predictive Modeling Using SAS Enterprise Miner 14) certification exam is designed for professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner 14. SAS Institute is a well-known software company that provides analytics and data management solutions. SAS Enterprise Miner is one of their flagship products that allows users to build predictive models using advanced analytics techniques.

To prepare effectively for the SASInstitute A00-255 Exam, candidates can enroll in SAS training courses, review online study guides, and practice with SAS Enterprise Miner 14 on their own. Clearing A00-255 exam not only validates one's proficiency in using advanced analytics tools but also propels their career growth by opening up new avenues and opportunities for them.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q57-Q62):

NEW QUESTION # 57
Refer to the exhibit:

The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:

  • A. Role: InputLevel: Interval
  • B. Role: InputLevel: Nominal
  • C. Role: RejectedLevel: Nominal
  • D. Role: IntervalLevel: Input

Answer: B


NEW QUESTION # 58
Multicollinearity in regression refers to which of the following?
Response:

  • A. non-normality of the target variable
  • B. high correlations among input variables
  • C. high skewness in distributions of input variables
  • D. non-constant variance of the target variable

Answer: B


NEW QUESTION # 59
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

  • A. 13.39%
  • B. 47.82%
  • C. 48.59%
  • D. 14.00%

Answer: C


NEW QUESTION # 60
Which of the following is not true about results produced by the Regression node?
Response:

  • A. Variable Summary information identifies the roles of variables used by the Regression node.
  • B. Model Information provides you with information that includes the number of target categories and the number of model parameters.
  • C. Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.
  • D. Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.

Answer: D


NEW QUESTION # 61
Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

  • A. 0
  • B. 0.8
  • C. 0.05
  • D. 1.2

Answer: C


NEW QUESTION # 62
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