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SASInstitute A00-255 Exam Syllabus Topics:

SectionObjectives
Topic 1: Business Understanding and Analytical Framework- Define business objectives and analytics goals
- Translate business problems into data mining tasks
Topic 2: Data Understanding and Preparation- Data collection and data source identification
- Feature selection and transformation
- Data cleaning and preprocessing
- Handling missing values and outliers
Topic 3: Model Development- Neural networks and advanced modeling in SAS Enterprise Miner
- Regression modeling techniques
- Decision trees and ensemble methods
Topic 4: Exploratory Data Analysis- Descriptive statistics and data profiling
- Visualization techniques for pattern discovery
Topic 5: Model Implementation and Deployment- Monitoring model performance in production
- Model scoring and deployment in SAS Enterprise Miner
Topic 6: Model Evaluation and Validation- Model comparison and selection
- Model performance metrics
- Validation and cross-validation techniques

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

  • A. Regression
  • B. Ensemble
  • C. Neural Network
  • D. Decision Tree
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

  • A. $0.00
  • B. $11,142.45
  • C. $8,711.65
  • D. $9,586.55
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:

  • A. symmetric
  • B. left skewed
  • C. right skewed
  • D. bimodal
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

  • A. 0.10844
  • B. 0.27649
  • C. 0.24914
  • D. 0.24169
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

  • A. 0.21
  • B. 0.27
  • C. 0.18
  • D. 0.82
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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