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完全版A00-485練習テスト190別格な問題と解釈が待ってます。今すぐゲット！
質問 # 97
How can you appropriately change the number of clusters in a k-means cluster analysis?
- A. By modifying the random seed
- B. By increasing the number of iterations
- C. By adjusting the learning rate
- D. By changing the K-value
正解：D
質問 # 98
What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?
- A. To visualize the distribution of data within the cluster
- B. To determine the cluster's centroid
- C. To create a scatter plot of data points
- D. To assign labels to the cluster's variables
正解：A
質問 # 99
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?
- A.
- B.
- C.
- D.
正解：B
質問 # 100
In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?
- A. Filter containers
- B. Exclude option in filter dialogs
- C. Interactive filters in the visualization
- D. Filtering using the toolbar options
正解：B、C
質問 # 101
What is the primary purpose of reviewing the residual plot in linear regression analysis?
- A. To assess the linearity assumption and identify potential issues
- B. To calculate the coefficient of determination (R-squared)
- C. To detect outliers in the predictor variables
- D. To determine the p-value associated with the response variable
正解：A
質問 # 102
What is the purpose of applying a prediction cut-off in model assessment?
- A. To determine the optimal threshold for classifying outcomes
- B. To calculate the p-values of predictor variables
- C. To divide the dataset into training and testing sets
- D. To identify influential data points in the dataset
正解：A
質問 # 103
What is the purpose of deriving a cluster ID variable in cluster analysis?
- A. To calculate the distance between clusters
- B. To create a scatter plot of data points
- C. To set parallel coordinate properties
- D. To assign cluster labels to data points
正解：D
質問 # 104
What does the Variable Importance feature help with when choosing the best fitting group-by model?
- A. Understanding the distribution of the target variable
- B. Assessing the significance of each predictor
- C. Identifying the most influential predictors
- D. Evaluating the multicollinearity among predictors
正解：C
質問 # 105
When assessing the quality of a linear regression model, what does a low p-value associated with the F-statistic suggest?
- A. The model has a significant overall explanatory power.
- B. The model is a poor fit for the data.
- C. The model has a weak linear relationship with the response.
- D. The model has a high level of multicollinearity.
正解：A
質問 # 106
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
正解：A
質問 # 107
The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?
- A. The tree will train more slowly.
- B. The tree will be harder to interpret.
- C. The tree will be more complex.
- D. The tree will be simpler.
正解：D
質問 # 108
Refer to the exhibit from SAS Visual Statistics:
What can be concluded from the lift plot shown in the exhibit?
- A. The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.
- B. The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.
- C. The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
- D. The response rate for the best 20% is predicted to increase 5 times under the fitted model.
正解：A
質問 # 109
Which modeling technique automatically includes missing values?
- A. Linear regression
- B. Generalized linear model
- C. Logistic regression
- D. Decision tree
正解：D
質問 # 110
In linear regression, what does a high p-value for a predictor variable suggest?
- A. The predictor has a strong linear relationship with the response.
- B. The predictor is a categorical variable.
- C. The predictor is highly significant for the model.
- D. The predictor is not relevant for the model.
正解：D
質問 # 111
How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?
- A. By calculating the mean of the predictor variables
- B. By summing the residuals of the model
- C. By fitting a linear regression model to the data
- D. By applying the link function to the linear predictor
正解：D
質問 # 112
In cluster analysis, what does the term "centroid" refer to?
- A. The minimum distance between two clusters
- B. The number of variables used in the analysis
- C. The total number of data points in a cluster
- D. The center point of a cluster in the feature space
正解：D
質問 # 113
Refer to the exhibits:
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 6 cluster IDs in Exhibit 2 based on these settings?
- A. Cluster Diagram Visible Roles setting is 6.
- B. Parallel Coordinates Visible Roles setting is 6.
- C. There are observations with missing values.
- D. Variable Standardization has been chosen.
正解：C
質問 # 114
When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?
- A. Specify exclusion criteria in the data source properties
- B. Use the exclude option when setting up a filter
- C. Define a filter condition using the interactive filter pane
- D. Apply a data filter on the visualization
正解：A、B、C、D
質問 # 115
When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?
- A. Poisson distribution with a log link function
- B. Binomial distribution with a logit link function
- C. Normal distribution with an identity link function
- D. Exponential distribution with a square root link function
正解：B
質問 # 116
An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?
- A. Create a new data hierarchy.
- B. Create an SQL query from the filters tab.
- C. Create a new ranks variable on age and sort descending on that variable.
- D. Create a report filter.
正解：D
質問 # 117
Refer to the exhibit:
Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?
- A. Classification = Measure & Model Type = Discrete
- B. Classification = Category & Model Type = Continuous
- C. Classification = Measure & Model Type = Continuous
- D. Classification = Category & Model Type = Discrete
正解：C
質問 # 118
What is the primary benefit of exporting score code for model deployment?
- A. It allows for model performance assessment on a test dataset.
- B. It enables scoring of new data without the need for SAS Visual Statistics.
- C. It provides insights into the distribution of predictor variables.
- D. It automatically generates new predictor variables.
正解：B
質問 # 119
What are variable selection methods for decision trees used to determine the most important features?
- A. Information gain or Gini impurity reduction
- B. F-test for feature significance
- C. Recursive feature elimination
- D. Principal Component Analysis (PCA)
正解：A
質問 # 120
How can you apply filters to both visualization and data source in SAS Visual Analytics?
- A. Define filters directly in the data source properties
- B. Use the toolbar options to filter the visualization
- C. Apply filters using the interactive filter dialog in the visualization
- D. Use the filter pane to apply filters to the visualization
正解：A、B、C、D
質問 # 121
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