How to Prepare for SAS Visual Statistics (A00-485) Exam?

How to Prepare for SAS Visual Statistics A00-485 Certification? A00-485 Certification Made Easy with AnalyticsExam.com.

SAS A00-485 Exam Summary: Exam Name SAS Certified Associate Modeling Using SAS Visual Statistics Exam Code A00-485 No. of Questions 55-60 Passing Score 68% Time Limit 110 minutes Exam Fees $120 (USD) Online Practice Test SAS Visual Statistics Certification Practice Exam Sample Questions Rise & Shine with AnalyticsExam.com SAS Visual Statistics Certification Sample Question

SAS Visual Statistics Syllabus Content: Syllabus Topics: SAS Visual Statistics Cross-functional Tasks - 22% Building and Assessing Segmentation Models - 28% Building and Assessing Regression-type Models - 41% Model Comparison and Scoring - 9% Rise & Shine with AnalyticsExam.com

SAS Visual Statistics Training: Recommended Training: SAS Visual Statistics: Interactive Model Building Rise & Shine with AnalyticsExam.com

Tips to Prepare for A00-485 Understand the all Syllabus Topics. Perform SAS Visual Statistics online test at AnalyticsExam.com. Identify your weak areas from SAS Visual Statistics mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com

SAS A00-485 Sample Questions Rise & Shine with AnalyticsExam.com

Que.: 1 : Which model does not produce score code? Options: a) Decision Tree using interactive mode b) Regression using interaction effects c) Regression using the group by option d) Decision Tree using the rapid growth option Rise & Shine with AnalyticsExam.com

Answer: a) Decision Tree using interactive mode Rise & Shine with AnalyticsExam.com

Que.: 2 : Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours. What effect will this have on any new explorations that your teammates create? Options: a) It will delete all observations that do not match your region. b) It will have no effect on any observations in the dataset. c) It will suppress all observations that do not match your region. d) It will suppress all observations that do not match their corresponding region. Rise & Shine with AnalyticsExam.com

Answer: b) It will have no effect on any observations in the dataset. Rise & Shine with AnalyticsExam.com

Que.: 3 : Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics? Options: a) GAM assumes a strict linear relationship between the predictors and the response function. b) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve. c) Specification of a spline effect is optional. d) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit. Rise & Shine with AnalyticsExam.com

Answer: b) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve. Rise & Shine with AnalyticsExam.com

Que.: 4 : Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables. Options: a) y = b0 + b1X1 + b2X2 b) y = b0 + b1X1 + b2X2 + b3(X1X2) c) y = b0 + b1X1 + (b2/b1)X2 d) y = b0 + b1X1 + b2X1 3 Rise & Shine with AnalyticsExam.com

Answer: c) y = b0 + b1X1 + (b2/b1)X2 Rise & Shine with AnalyticsExam.com

Que.: 5 : You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event. Which statement is true? Options: a) The other levels are grouped into one non-event. b) An ordinal logistic regression is performed. c) A multinomial logistic regression is performed. d) The other levels are offset to account for exposure. Rise & Shine with AnalyticsExam.com

Answer: a) The other levels are grouped into one non-event. Rise & Shine with AnalyticsExam.com

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