合格できるSASInstitute Modeling Using SAS Visual Statistics試験最速合格保証最近更新されたFast2test問題集！ [Q48-Q70]

合格できるSASInstitute Modeling Using SAS Visual Statistics試験最速合格保証最近更新されたFast2test問題集！

合格できるA00-485試験の190問題で最適なFast2test出題問題

質問 # 48
What are the roles that can be assigned in a generalized linear model (GLM)?

A. Intercept
B. Offset
C. Target
D. Predictor

正解：B、C、D

質問 # 49
When would you typically use a linear regression model instead of a generalized linear model (GLM)?

A. When the goal is to model categorical outcomes
B. When there is no assumption of linearity in the data
C. When dealing with count data
D. When the dependent variable is binary

正解：B

質問 # 50
Which statement is true regarding model comparison within SAS Visual Statistics?

A. A logistic regression and a decision tree cannot be compared.
B. Two cluster analyses cannot be compared if they have different initial seed assignments.
C. A linear regression and a generalized linear model cannot be compared.
D. Two generalized linear models cannot be compared if they use different underlying distributions.

正解：B

質問 # 51
When interpreting a Residual Plot, what does it reveal about the model's performance?

A. The linear relationship between predictors and the response
B. The presence of any outliers or patterns in prediction errors
C. The p-values associated with the predictor variables
D. The distribution of predictor variables in the dataset

正解：B

質問 # 52
How is the KS Statistic typically used when interpreting an ROC chart?

A. To identify the optimal prediction cut-off threshold
B. To evaluate the overall performance of a classification model
C. To measure the area under the ROC curve
D. To assess the balance between sensitivity and specificity

正解：D

質問 # 53
In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A. By exporting it as a separate dataset
B. By including it as a dimension in a new visualization
C. By linking it to a table in a database
D. By embedding it within a scatter plot

正解：B

質問 # 54
How are split points determined in a decision tree?

A. By minimizing the number of leaf nodes
B. By maximizing information gain or Gini impurity reduction
C. Randomly assigned
D. Based on the order of appearance in the dataset

正解：B

質問 # 55
What does the interactive group-by feature in SAS Visual Analytics allow you to do?

A. Apply group-by modeling to multiple measures simultaneously
B. Create subgroups within the group-by variable
C. Interactively explore different levels of the group-by variable
D. Dynamically change the group-by variable during analysis

正解：C、D

質問 # 56
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.

A. 0
B. 1
C. 2
D. 3

正解：D

質問 # 57
What information is conveyed by a Summary bar in model assessment?

A. The performance metrics of the model, such as AUC and KS Statistic
B. The summary statistics of the response variable
C. The standard deviation of the predictor variables
D. The distribution of residuals in the model

正解：A

質問 # 58
Which of the following tasks in SAS Visual Analytics involves reducing the granularity of categorical data?

A. Imputing a variable
B. Aggregating a measure
C. Creating a dummy variable
D. Transforming a variable

正解：B

質問 # 59
In the below nonparametric logistic regression results display, where would you click to get a plot of significant continuous effects?

正解：

解説：

質問 # 60
What are decision tree properties that can be defined during model construction?

A. The maximum depth of the tree
B. The learning rate for gradient boosting
C. The minimum number of data points in a leaf node
D. The number of neighbors in a k-nearest neighbors model

正解：A、C

質問 # 61
Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A. The p-value of the intercept term
B. The AUC (Area Under the Curve)
C. The R-squared value
D. The learning rate of the model

正解：B

質問 # 62
How can you interpret a Parallel Coordinates plot in cluster analysis?

A. It shows the distribution of data within a cluster.
B. It visualizes the relationship between clusters.
C. It displays the hierarchical structure of clusters.
D. It provides a summary of cluster statistics.

正解：A、B

質問 # 63
When interpreting a Misclassification plot in model comparison, what does it typically show?

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

正解：C

質問 # 64
Which modeling technique automatically includes missing values?

A. Linear regression
B. Decision tree
C. Logistic regression
D. Generalized linear model

正解：B

質問 # 65
What are some properties that can be defined in a linear regression model?

A. Maximum depth and minimum leaf size
B. Coefficients, p-values, and R-squared
C. Learning rate and number of iterations
D. Confusion matrix and accuracy

正解：B

質問 # 66
What is the primary purpose of specifying the link function in logistic regression?

A. To establish the relationship between the linear predictor and the probability of an event
B. To ensure that all predictor variables are used
C. To determine the distribution of the response variable
D. To control the significance level of predictor variables

正解：A

質問 # 67
When examining the Cluster Summary tab, what information is typically available?

A. The decision tree structure for each cluster
B. The number of iterations performed during clustering
C. The number of variables in the analysis
D. Statistics for each cluster, such as mean and standard deviation

正解：D

質問 # 68
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. In relation to the other clusters, it consists of people whose house values are lower.
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 who are younger.
D. It contains the most observations.

正解：A、B

質問 # 69
Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?