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- A00-207 - SAS Certified Visual Modeler Using SAS Visual Statistics 7.4
Free A00-207 - SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Exam Questions and Answers
Last updated: March 29, 2025
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A00-207 - SAS Certified Visual Modeler Using SAS Visual Statistics 7.4
#Question
For which data type is k-modes clustering best suited?
A.
Categorical data
B.
Time series data
C.
Mixed data
D.
Numerical data
Correct Answer:
A
K-modes clustering is especially effective for categorical data, as it uses modes to represent the centroids of the clusters.
#Question
In a clustering context, what is 'k' in k-means clustering?
A.
Optimal model size
B.
Number of clusters
C.
Number of dimensions
D.
The average distance to the centroid
Correct Answer:
B
'k' in k-means clustering represents the number of clusters into which the data will be partitioned.
#Question
When examining model performance for a classification task, what does the term 'recall' refer to?
A.
True positives / (True positives + False negatives)
B.
True positives + False negatives
C.
(True positives) / (All negatives)
D.
Percentage of true positives
Correct Answer:
A
Recall, also known as sensitivity, measures the model's ability to identify all relevant instances correctly.
#Question
Which strategy can be employed to improve the reliability of your predictive model?
A.
Data augmentation
B.
Reduce sample size
C.
Ignoring categorical variables
D.
Increase features
Correct Answer:
A
Data augmentation helps to improve representational learning by generating modified versions of data samples.
#Question
In which situation might you consider using a neural network?
A.
When interpretability is key
B.
Simple linear relationships
C.
Complex and non-linear relationships
D.
Small datasets
Correct Answer:
C
Neural networks are particularly powerful for identifying complex, non-linear relationships in large datasets.
#Question
In analytics, what does the term 'explanatory variable' refer to?
A.
An independent variable
B.
The outcome variable
C.
None of the above
D.
The variable being predicted
Correct Answer:
A
An explanatory variable is an independent variable used to explain variations in the dependent (outcome) variable.
#Question
What role does 'train-test split' serve in predictive modeling?
A.
Increases dataset size
B.
Guarantees model performance
C.
Reduces prediction time
D.
Prevents overfitting
Correct Answer:
D
The train-test split is essential to assess how models perform on data they haven't seen, thus helping to prevent overfitting.
A00-207 - SAS Certified Visual Modeler Using SAS Visual Statistics 7.4
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