2024 100% Free A00-485 Daily Practice Exam With 190 Questions [Q30-Q50]

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2024 100% Free A00-485 Daily Practice Exam With 190 Questions

A00-485 exam torrent SASInstitute study guide

NEW QUESTION 30
In SAS Visual Analytics, what is the purpose of creating an aggregated measure?

To combine multiple categories into fewer levels

To replace dirty data with missing values

To calculate summary statistics for a measure

To transform a categorical variable into a numerical one

NEW QUESTION 31
In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A list of all predictor variables used in the model

A summary of the model’s goodness of fit and performance metrics

A detailed description of the data preprocessing steps

The distribution of the response variable in the dataset

NEW QUESTION 32
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.

NEW QUESTION 33
In a generalized linear model, what is the role of the link function in transforming the linear predictor?

It determines the distribution of the response variable.

It scales the predictor variables.

It ensures that the linear predictor is always positive.

It maps the linear predictor to the range of the response variable.

NEW QUESTION 34
Refer to the exhibit:

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

It suggests the error variance is constant.

The model is not capturing all of the available signals in the data.

It suggests the errors are uncorrelated.

There is an approximately equal number of positive and negative residuals.

NEW QUESTION 35
You want to filter out certain observations to analyze their effect on the model.

Which windows will achieve this? (Choose two.)

Fit Summary

Residual Plot

Assessment

Influence Plot

NEW QUESTION 36
An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?

Create a report filter.

Create a new data hierarchy.

Create an SQL query from the filters tab.

Create a new ranks variable on age and sort descending on that variable.

NEW QUESTION 37
Refer to the fit summary from in the exhibit below.

What can be concluded from the fit summary?

Job Type is not a significant predictor in this model.

Job Type = Office has no important variables associated with it.

Debt to income ratio is a significant predictor when Job Type = Mgr.

Debt to income ratio is a significant predictor when Job Type = Sales.

NEW QUESTION 38
Refer to the exhibit:

A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

NEW QUESTION 39
In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

To calculate the p-values of predictor variables

To determine the order of predictor variables in the model

To ensure that predictor variables are not highly correlated

To verify if the chosen model assumptions are met and make adjustments if necessary

NEW QUESTION 40
How can you apply filters to both visualization and data source in SAS Visual Analytics?

Use the filter pane to apply filters to the visualization

Define filters directly in the data source properties

Use the toolbar options to filter the visualization

Apply filters using the interactive filter dialog in the visualization

NEW QUESTION 41
When creating a Linear Regression, Category Variables can be used for Classification Effects and

Response

Continuous Effects

Group-by

Frequency

NEW QUESTION 42
Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

Cluster Matrix Visible Roles setting is 5.

There are observations with missing values.

Variable Standardization has been chosen.

Parallel Coordinates Visible Roles setting is 5.

NEW QUESTION 43
What is one potential disadvantage of excessively deep decision trees?

Increased interpretability

Overfitting to the training data

Faster prediction times

Greater stability in the model

NEW QUESTION 44
What is variable selection in SAS Visual Statistics used for in logistic regression modeling?

To exclude all predictor variables

To identify and choose relevant predictor variables

To assign roles to variables

To specify the distribution of the response variable

NEW QUESTION 45
Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

Logistic Regression model would be selected at lift=20

Decision Tree model would be selected at lift=5

Logistic Regression model would be selected at lift=5

Decision Tree model would be selected at lift=20

NEW QUESTION 46
Which statement is true regarding model comparison within SAS Visual Statistics?

Two generalized linear models cannot be compared if they use different underlying distributions.

Two cluster analyses cannot be compared if they have different initial seed assignments.

A logistic regression and a decision tree cannot be compared.

A linear regression and a generalized linear model cannot be compared.

NEW QUESTION 47
What are variable selection methods for decision trees used to determine the most important features?

Recursive feature elimination

Principal Component Analysis (PCA)

Information gain or Gini impurity reduction

F-test for feature significance

NEW QUESTION 48
What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?

To determine the cluster’s centroid

To visualize the distribution of data within the cluster

To create a scatter plot of data points

To assign labels to the cluster’s variables

NEW QUESTION 49
Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?

SAS Visual Data Builder

SAS Enterprise Guide

SAS Studio

SAS Enterprise Miner

NEW QUESTION 50
In generalized linear models, what is the purpose of the link function?

To determine the distribution of the response variable

To specify the relationship between the predictor and response variables

To calculate the p-values of predictor variables

To adjust the model for multicollinearity

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2024 100% Free A00-485 Daily Practice Exam With 190 Questions [Q30-Q50]

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