Welcome! Preparing for the Modeling using SAS Visual Statistics (A00-485) certification exam can be a daunting task, but we're here to make it easier for you. Here are the sample questions that will help you become familiar with the SAS A00-485 exam style and structure. We encourage you to try our Demo SAS Visual Statistics Certification Practice Exam to measure your understanding of the exam structure in an environment that simulates the actual test environment.

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## SAS A00-485 Sample Questions:

**01. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?**

**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.

**02. Which equation does NOT represent a linear model?**

**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

**03. Refer to the exhibit from a linear regression model in SAS Visual Statistics.**

**Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?**

**a)**The Intercept is an important predictor of the response.

**b)**RestPulse is a significant predictor of the response.

**c)**For one one-unit increase in RunTime, there is an expected decrease in the response of 2.6287.

**d)**For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.

**04. Which model does not produce score code?**

**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

**05. Refer to the exhibit:**

**Which is the modeling approach that should be used when fitting the Target Gift Amount variable?**

**a)**Linear regression model with Interaction effects.

**b)**Generalized linear model with a Poisson distribution and Identity link.

**c)**Generalized linear model with a Normal distribution and Log Link.

**d)**Logistic regression model.

**06. 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?**

**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.

**07. Refer to the exhibit:**

**Which option was not specified in creating the linear regression model using SAS Visual Statistics?**

**a)**interaction term

**b)**group-by variable

**c)**variable selection

**d)**continuous effects

**08. 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?**

**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.

**09. In the below nonparametric logistic regression results display, where would you click to get a plot of significant continuous effects?**

**Solution:**

**Determine whether the given solution is correct?**

**a)**Correct

**b)**Incorrect

**10. You would like to compare multiple models that you've built in SAS Visual Statistics. Which parameters must be the same for all models being compared?**

**a)**Data Source

**b)**Assessment Bins

**c)**Model Type

**d)**Event Level

**e)**Response Variable

**f)**Link Function

## Answers:

Question: 1 | Answer: b | Question: 2 | Answer: c |

Question: 3 | Answer: c | Question: 4 | Answer: a |

Question: 5 | Answer: c | Question: 6 | Answer: a |

Question: 7 | Answer: b | Question: 8 | Answer: b |

Question: 9 | Answer: a | Question: 10 | Answer: a, d, e |

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