A00-485 PDF Pass Leader, A00-485 Latest Real Test [Q18-Q41]

A00-485 PDF Pass Leader, A00-485 Latest Real Test

Valid A00-485 Test Answers & A00-485 Exam PDF

NEW QUESTION # 18
Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.

What can be concluded from the fit summary?

A. Customer Value Level is not a significant predictor in this model.
B. Customer Value Level C has no important variables associated with it.
C. Average Sales is an important predictor when Customer Value Level = C.
D. Average Sales is a significant predictor when Customer Value Level = E.

Answer: D

NEW QUESTION # 19
When performing decision tree analysis in SAS Visual Statistics, how does the property setting for
"include missing" modify the usage of missing values within categorical discrete predictors?

A. assigns the smallest available machine value
B. imputes the median of the predictor's known values
C. assigns its own level
D. imputes the mean of the predictor's known values

Answer: C

NEW QUESTION # 20
When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?

A. Exponential distribution with a square root link function
B. Binomial distribution with a logit link function
C. Poisson distribution with a log link function
D. Normal distribution with an identity link function

Answer: B

NEW QUESTION # 21
When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

A. Running a SQL query to generate predictions
B. Opening the code file and manually executing it
C. Dragging and dropping the score code file into the project
D. Converting the code to a macro for automation

Answer: B,C

NEW QUESTION # 22
Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?

A. Poisson distribution with a log link function
B. Logistic distribution with a logit link function
C. Exponential distribution with a log link function
D. Normal distribution with an identity link function

Answer: C

NEW QUESTION # 23
What is the primary purpose of choosing an appropriate distribution in a generalized linear model?

A. To control the significance level of predictor variables
B. To determine the number of predictors in the model
C. To accurately reflect the nature of the response variable's distribution
D. To simplify the model's mathematical formulation

Answer: C

NEW QUESTION # 24
Which of the following criteria are commonly used for pruning a decision tree?

A. Maximum tree height
B. Maximum depth
C. Maximum leaf nodes
D. Minimum split count

Answer: B,C,D

NEW QUESTION # 25
What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?

A. To create a scatter plot of data points
B. To assign labels to the cluster's variables
C. To determine the cluster's centroid
D. To visualize the distribution of data within the cluster

Answer: D

NEW QUESTION # 26
In group-by modeling, when is the p-value for the group-by variable considered significant?

A. When the p-value is less than 0.01
B. When the p-value is less than 0.05
C. When the p-value is exactly 0.05
D. When the p-value is greater than 0.05

Answer: A,B

NEW QUESTION # 27
In linear regression modeling, what roles are typically assigned to variables?

A. Input, Target, and Nominal
B. Dependent, Independent, and Categorical
C. Predictor, Response, and Interaction
D. Intercept, Slope, and Error

Answer: B

NEW QUESTION # 28
You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?

A. logistic regression model using the Logit link function
B. logistic regression model using the Probit link function
C. logistic regression model using the Tobit link function
D. generalized linear model using the binomial distribution and the log link function

Answer: A

NEW QUESTION # 29
Refer to the exhibit:

What does the Residual Plot from a linear regression model reveal?

A. It suggests the error variance is constant.
B. There is an approximately equal number of positive and negative residuals.
C. It suggests the errors are uncorrelated.
D. The model is not capturing all of the available signals in the data.

Answer: D

NEW QUESTION # 30
An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?

A. Create an SQL query from the filters tab.
B. Create a new ranks variable on age and sort descending on that variable.
C. Create a new data hierarchy.
D. Create a report filter.

Answer: D

NEW QUESTION # 31
What is the primary purpose of reviewing the residual plot in linear regression analysis?

A. To detect outliers in the predictor variables
B. To calculate the coefficient of determination (R-squared)
C. To determine the p-value associated with the response variable
D. To assess the linearity assumption and identify potential issues

Answer: D

NEW QUESTION # 32
Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

A. A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
B. GAM assumes a strict linear relationship between the predictors and the response function.
C. The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.
D. Specification of a spline effect is optional.

Answer: C

NEW QUESTION # 33
How can you derive a leaf ID for use in other models or analyses based on a decision tree?

A. By extracting the node IDs of all leaf nodes
B. By applying a clustering algorithm to leaf node values
C. By calculating the distance between data points and leaf nodes
D. By concatenating the decision rules leading to a leaf node

Answer: A

NEW QUESTION # 34
You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

Answer: C

NEW QUESTION # 35
When interpreting a Misclassification plot in model comparison, what does it typically show?

A. The relationship between two predictor variables
B. The distribution of the response variable
C. The trade-off between false positives and false negatives at different thresholds
D. The performance of models in terms of AUC

Answer: C

NEW QUESTION # 36
Refer to the exhibit:

A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.

Answer: B

NEW QUESTION # 37
When interpreting an Influence plot, what does it typically show?

A. The interaction between two predictor variables
B. The effect of each predictor variable on the response
C. The relationship between the response variable and the intercept term
D. The distribution of residuals in the model

Answer: B

NEW QUESTION # 38
Which SAS tool is suitable for creating complex data manipulation and transformation workflows in a visual interface?

A. SAS Visual Data Builder
B. SAS Visual Analytics
C. SAS Studio
D. SAS Enterprise Guide

Answer: A

NEW QUESTION # 39
When investigating leaf nodes in a decision tree, what does it reveal about the data?

A. The feature values associated with each leaf node
B. The class labels assigned to each leaf node
C. The statistical significance of each leaf node
D. The decision rules leading to each leaf node

Answer: A,B,D

NEW QUESTION # 40
You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
"College Grad", etc.
Which action allows you to incorporate this variable in the cluster analysis without returning a warning?