übungstest exam A00-240 Prüfungsfragen dumps SAS Advanced Programming Exam for SAS 9 (ICND2 v3.0) www.it-pruefungen.ch

QUESTION NO: 1
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?

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.
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.

Answer: B

QUESTION NO: 2
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.
Which statement and option combination will generate these statistics?

A. Scoredata=valid1 out=roc;
B. Scoredata=valid1 outroc=roc;
C. mode1resp(event= ’1′) = gender region/outroc=roc;
D. mode1resp(event”1″) = gender region/ out=roc;

Answer: B

QUESTION NO: 3
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

A. Simple random sampling without replacement
B. Simple random sampling with replacement
C. Stratified random sampling without replacement
D. Sequential random sampling with replacement

Answer: A,C

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QUESTION NO: 4
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

A. Training: 50% Validation: 0% Testing: 50%
B. Training: 100% Validation: 0% Testing: 0%
C. Training: 0% Validation: 100% Testing: 0%
D. Training: 50% Validation: 50% Testing: 0%

Answer: D

QUESTION NO: 5
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?

A. Sensitivity and PV+
B. Specificity and PV
C. PV+ and PV
D. Sensitivity and Specificity

Answer: D

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QUESTION NO: 7
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.
What is the purpose of the test data set?

A. To provide a unbiased measure of assessment for 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.
D. To build the predictive models.

Answer: A