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SAS Certified Statistical Business Analyst A00-240 Dumps

Passcert offers SAS Certified Statistical Business Analyst A00-240 Dumps to help you pass your exam successfully.

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SAS Certified Statistical Business Analyst A00-240 Dumps

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  1. A00-240 Dumps A00-240 Dumps SAS Certified Statistical SAS Certified Statistical Business Analyst Using SAS 9: Business Analyst Using SAS 9: Regression and Modeling Regression and Modeling Credential Credential https://www.passcert.com/A00-240.html https://www.passcert.com/A00-240.html

  2. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 1 When mean imputation is performed on data after the data is partitioned for honest assessment, When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation? what is the most appropriate method for handling the mean imputation? A. The sample means from the validation data set are applied to the training and test data sets. A. The sample means from the validation data set are applied to the training and test data sets. B. The sample means from the training data set are applied to the validation and test data sets. B. The sample means from the training data set are applied to the validation and test data sets. C. The sample means from the test data set are applied to the training and validation data sets. C. The sample means from the test data set are applied to the training and validation data sets. D. The sample means from each partition of the data are applied to their own partition. D. The sample means from each partition of the data are applied to their own partition. Answer: B Answer: B 2

  3. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 2 An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics? Which statement and option combination will generate these statistics? A. Score data=valid1 out=roc; A. Score data=valid1 out=roc; B. Score data=valid1 outroc=roc; B. Score data=valid1 outroc=roc; C. mode1 resp(event= '1') = gender region/outroc=roc; C. mode1 resp(event= '1') = gender region/outroc=roc; D. mode1 resp(event"1") = gender region/ out=roc; D. mode1 resp(event"1") = gender region/ out=roc; Answer: B Answer: B 3

  4. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 3 In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.) In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.) A. Simple random sampling without replacement A. Simple random sampling without replacement B. Simple random sampling with replacement B. Simple random sampling with replacement C. Stratified random sampling without replacement C. Stratified random sampling without replacement D. Sequential random sampling with replacement D. Sequential random sampling with replacement Answer: A,C Answer: A,C 4

  5. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 4 In order to perform honest assessment on a predictive model, what is an acceptable In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data? division between training, validation, and testing data? A. Training: 50% Validation: 0% Testing: 50% A. Training: 50% Validation: 0% Testing: 50% B. Training: 100% Validation: 0% Testing: 0% B. Training: 100% Validation: 0% Testing: 0% C. Training: 0% Validation: 100% Testing: 0% C. Training: 0% Validation: 100% Testing: 0% D. Training: 50% Validation: 50% Testing: 0% D. Training: 50% Validation: 50% Testing: 0% Answer: D Answer: D 5

  6. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 5 A confusion matrix is created for data that were oversampled due to a rare target. A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling? What values are not affected by this oversampling? A. Sensitivity and PV+ A. Sensitivity and PV+ B. Specificity and PV B. Specificity and PV C. PV+ and PV C. PV+ and PV D. Sensitivity and Specificity D. Sensitivity and Specificity Answer: D Answer: D 6

  7. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 6 An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process. and test sets to perform honest assessment during the model building process. What is the purpose of the training data set? What is the purpose of the training data set? A. To provide an unbiased measure of assessment for the final model. A. To provide an unbiased measure of assessment for the final model. B. To compare models and select and fine-tune the final model. B. To compare models and select and fine-tune the final model. C. To reduce total sample size to make computations more efficient. C. To reduce total sample size to make computations more efficient. D. To build the predictive models. D. To build the predictive models. Answer: A Answer: A 7

  8. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 7 The total modeling data has been split into training, validation, and test data. The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment? What is the best data to use for model assessment? A. Training data A. Training data B. Total data B. Total data C. Test data C. Test data D. Validation data D. Validation data Answer: D Answer: D 8

  9. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 8 What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data? after partitioning the data? A. It violates assumptions of the model. A. It violates assumptions of the model. B. It requires extra computational effort and time. B. It requires extra computational effort and time. C. It omits the training (and test) data sets from the benefits of the cleansing methods. C. It omits the training (and test) data sets from the benefits of the cleansing methods. D. There is no ability to compare the effectiveness of different cleansing methods. D. There is no ability to compare the effectiveness of different cleansing methods. Answer: D Answer: D 9

  10. Download Passcert valid A00-240 exam dumps to pass your A00-240 exam successfully Question 9 A company has branch offices in eight regions. Customers within each region are classified as either "High A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable. amount of purchases per customer is used as the response variable. Suppose there is a significant interaction between REGION and VALUE. Suppose there is a significant interaction between REGION and VALUE. What can you conclude? What can you conclude? A. More high value customers are found in some regions than others. A. More high value customers are found in some regions than others. B. The difference between average purchases for medium and high value customers depends on the region. B. The difference between average purchases for medium and high value customers depends on the region. C. Regions with higher average purchases have more high value customers. C. Regions with higher average purchases have more high value customers. D. Regions with higher average purchases have more medium value customers. D. Regions with higher average purchases have more medium value customers. Answer: B Answer: B 10

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