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NEW QUESTION # 84
What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?
- A. Increased performance by reducing data retrieval from the source
- B. Enhanced user experience by providing more interactive filtering options
- C. Improved security by restricting access to specific data
- D. Consistency in data presentation across multiple visualizations
Answer: A,D
NEW QUESTION # 85
How can you export score code generated by SAS Visual Statistics for a trained model?
- A. By exporting it as a PDF document
- B. By exporting it as a standalone script file
- C. By copying and pasting it into a text editor
- D. By printing it directly from the SAS Visual Statistics interface
Answer: B,C
NEW QUESTION # 86
Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?
- A. Supervised learning
- B. Reinforcement learning
- C. Semi-supervised learning
- D. Unsupervised learning
Answer: D
NEW QUESTION # 87
Refer to the Parallel Coordinates Plot shown on the Exhibit.
Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)
- A. It contains the most observations.
- B. In relation to the other clusters, it consists of people from the lower income group.
- C. In relation to the other clusters, it consists of people whose house values are lower.
- D. In relation to the other clusters, it consists of people who are younger.
Answer: B,C
NEW QUESTION # 88
When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?
- A. Measure format and informat
- B. Measure calculation method
- C. Measure name and label
- D. Measure data type
Answer: A,C,D
NEW QUESTION # 89
Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?
- A. The resulting model is a multinomial logistic regression model with a generalized logit link.
- B. The resulting model is a binary logistic regression model with a selected level as the event.
- C. The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
- D. You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
Answer: B
NEW QUESTION # 90
When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?
- A. Random seed
- B. Learning rate
- C. K-value
- D. Cluster centroid initialization
Answer: C
NEW QUESTION # 91
In a generalized linear model, what is the role of the link function in transforming the linear predictor?
- A. It maps the linear predictor to the range of the response variable.
- B. It scales the predictor variables.
- C. It determines the distribution of the response variable.
- D. It ensures that the linear predictor is always positive.
Answer: A
NEW QUESTION # 92
Interactive group-by analysis can be performed for each of the following in Visual Statistics except:
- A. Logistic regression
- B. Generalized linear model
- C. Linear regression
- D. Decision tree
Answer: D
NEW QUESTION # 93
Which modeling technique automatically includes missing values?
- A. Logistic regression
- B. Generalized linear model
- C. Linear regression
- D. Decision tree
Answer: D
NEW QUESTION # 94
When building a predictive model with logistic regression, when should you choose an appropriate link function?
- A. Based on the nature of the response variable and the problem
- B. After specifying the number of predictors
- C. Before assigning roles to variables
- D. After specifying the learning rate
Answer: A
NEW QUESTION # 95
You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?
- A. Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
- B. Create a calculated item that divides total amount of sales by the total amount of items sold.
- C. Create an aggregated measure using the Avg aggregation on total amount of sales.
- D. Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
Answer: A
NEW QUESTION # 96
When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?
- A. Category items are not allowed.
- B. A target variable is required.
- C. Interaction items are allowed.
- D. At least two variables are required.
Answer: D
NEW QUESTION # 97
After a logistic regression has been created in SAS Visual Statistics, you discover that not all observations were used to create the model.
How would you run the model on all of the data?
- A. Include the correct interaction term.
- B. Include the correct offset term.
- C. Select Use Variable Selection on the properties tab.
- D. Select Informative Missingness on the properties tab.
Answer: D
NEW QUESTION # 98
Which model does not produce score code?
- A. Regression using the group by option
- B. Decision Tree using interactive mode
- C. Decision Tree using the rapid growth option
- D. Regression using interaction effects
Answer: B
NEW QUESTION # 99
In SAS Visual Analytics, which tool is commonly used to transform variables using functions like logarithm or square root?
- A. SAS Enterprise Miner
- B. SAS Enterprise Guide
- C. SAS Studio
- D. SAS Visual Data Builder
Answer: D
NEW QUESTION # 100
Refer to the exhibit:
How many predictor variables would be included in the score code produced by this model?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 101
What do cluster properties refer to in the context of cluster analysis?
- A. A measure of data point centrality
- B. Characteristics shared by data points within a cluster
- C. The number of clusters in the analysis
- D. Descriptive statistics of individual data points
Answer: B
NEW QUESTION # 102
How is prediction typically performed in logistic regression?
- A. By estimating the probability of an event for each observation
- B. By fitting a straight line through the data points
- C. By calculating the mean of the response variable
- D. By maximizing the likelihood of the response variable
Answer: A
NEW QUESTION # 103
Refer to the fit summary from in the exhibit below.
What can be concluded from the fit summary?
- A. Job Type = Office has no important variables associated with it.
- B. Job Type is not a significant predictor in this model.
- C. Debt to income ratio is a significant predictor when Job Type = Mgr.
- D. Debt to income ratio is a significant predictor when Job Type = Sales.
Answer: C
NEW QUESTION # 104
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. Normal distribution with an identity link function
- C. Logistic distribution with a logit link function
- D. Exponential distribution with a log link function
Answer: D
NEW QUESTION # 105
What information can you interpret from a Cluster Matrix?
- A. The cluster centroids
- B. The order of cluster creation
- C. The number of data points in each cluster
- D. The proximity or similarity between clusters
Answer: A,D
NEW QUESTION # 106
How are split points determined in a decision tree?
- A. By maximizing information gain or Gini impurity reduction
- B. Based on the order of appearance in the dataset
- C. Randomly assigned
- D. By minimizing the number of leaf nodes
Answer: A
NEW QUESTION # 107
What properties can be defined in a logistic regression model?
- A. The number of iterations
- B. The distribution of the response variable
- C. Coefficients and p-values
- D. The learning rate
Answer: B,C
NEW QUESTION # 108
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