Actual SAS Certification A00-485 Dumps (V8.02) – Trust DumpsBase for Your Modeling Using SAS Visual Statistics Exam Preparation

1. How can you export score code generated by SAS Visual Statistics for a trained model?

2. Refer to the exhibit:

Which is the modeling approach that should be used when fitting the Target Gift Amount variable?

3. When evaluating a Misclassification plot, what does it typically show?

4. In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

5. You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.

Which statement is true?

6. When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

7. How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?

8. Assuming the event level is the same for both models, which pair of models can be compared?

A)

B)

C)

D)

9. In cluster analysis, what does the term "centroid" refer to?

10. What is meant by "informative missingness" in the context of linear regression?

11. How can you interpret a Tree Map in the context of a decision tree?

12. Which modeling technique automatically includes missing values?

13. When creating a Linear Regression, Category Variables can be used for Classification Effects and

14. Explain what an icicle plot represents in decision tree analysis.

15. Refer to the following exhibit:

After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?

16. In the context of linear regression, what does the term "linearity" refer to?

17. What is one advantage of using SAS Studio to score new data with exported score code?

18. What are some properties that can be defined in a linear regression model?

19. What is the primary purpose of scoring functionality in SAS Visual Statistics?

20. How can score code be implemented to score new data using SAS Enterprise Miner?

21. What are the essentials of logistic regression?

22. When assigning roles in a GLM, what does the "offset" variable typically represent?

23. How is prediction typically performed in logistic regression?

24. What properties can be assigned when comparing models in SAS Visual Statistics?

25. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

26. In a generalized linear model, what is the role of the link function in transforming the linear predictor?

27. A champion model has been selected and you want to export the score code.

Score code is exported as:

28. When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?

29. What can you interpret from the Assessment panel in a decision tree analysis?

30. In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?

31. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.

Which is the most efficient way to do that?

32. When would you typically use a linear regression model instead of a generalized linear model (GLM)?

33. How is the KS Statistic typically used when interpreting an ROC chart?

34. Interactions can be created and added to a linear regression model.

Which statement is true about interactions?

35. Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.

What effect will this have on any new explorations that your teammates create?

36. Which statement is true for negative binomial and Poisson regression models?

37. In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?

38. Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?

39. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?

40. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

41. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

42. In linear regression, what does the coefficient of determination (R-squared) measure?

43. What information can you interpret from a Cluster Matrix?

44. Refer to the exhibit:

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

45. When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?

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

47. Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?

48. Which model does not produce score code?

49. Refer to the exhibit from a linear regression model in SAS Visual Statistics.

Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?

50. Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?

51. How can you appropriately change the number of clusters in a k-means cluster analysis?

52. Refer to the exhibit from SAS Visual Statistics:

What can be concluded from the lift plot shown in the exhibit?

53. What is the primary goal of linear models in statistical modeling?

54. What is the primary benefit of exporting score code for model deployment?

55. In decision tree modeling, what is the purpose of setting a minimum split count?

56. Refer to the fit summary from in the exhibit below.

What can be concluded from the fit summary?

57. 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.

A)

B)

C)

D)

58. 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?

59. 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?

60. What is one potential disadvantage of excessively deep decision trees?

61. During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?

62. When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?

63. What information is conveyed by a Summary bar in model assessment?

64. How can you interpret a Parallel Coordinates plot in cluster analysis?

65. Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?

66. What is the purpose of reviewing Measure Details when preparing data for a model?

67. Interactive group-by analysis can be performed for each of the following in Visual Statistics except:

68. 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.

69. In the below linear regression results display, where would you click to access the parameter estimates?

70. What does the Variable Importance feature help with when choosing the best fitting group-by model?