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  • Total Questions: 87
  • Updated on: Oct 10, 2026
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Set your test time, check your accuracy — like the actual test. The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 engine at TestKingFree: 87 practice questions for the A00-255 exam in 2026.

SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Predictive Model Assessment and Implementation25-30%- Model Evaluation
  • 1. Select appropriate fit statistics
  • 2. Assess model performance using profit and loss information
  • 3. Use decision processing for oversampling adjustment
  • 4. Compare models using Model Comparison node
- Model Deployment
  • 1. Score data sets within Enterprise Miner
Data Sources20-25%- Prepare Source Data
  • 1. Prepare data for predictive modeling
  • 2. Modify source data
- Create and Explore Data Sources
  • 1. Explore and assess data sources
  • 2. Create data sources from SAS tables in Enterprise Miner
Pattern Analysis10-15%- Segmentation and Association Analysis
  • 1. Perform association analysis
  • 2. Perform sequence analysis and market basket analysis
  • 3. Identify clusters using Cluster and Segment Profile nodes
Building Predictive Models35-40%- Model Development
  • 1. Build neural network models
  • 2. Build regression models
  • 3. Build decision tree models
  • 4. Describe predictive modeling concepts and terminology

A00-255 Exam FAQ — Feel the Real Test

The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is SASInstitute's certification exam for SAS Institute SAS, at the Professional level. Office workers without time for classes prepare best in spare time with focused material. Related credentials include SAS Certified Predictive Modeler Using SAS Enterprise Miner 14, SAS Certified Advanced Analytics Professional, SAS Certified Data Scientist.

USD 250 per attempt, 725/1000 to pass. Retakes cost the full fee — realize your shortcomings early with the 87 practice questions for the A00-255 exam at TestKingFree.

No mandatory prerequisite. Candidates should have hands-on experience with SAS Enterprise Miner and predictive modeling concepts. Eligibility rules change over time, so verify the current requirements on the official page (official A00-255 exam page) before registering.

Upon successful payment, our system emails the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 test braindump automatically within about a minute, with 24/7 customer assisting if nothing arrives within 2 hours. If you fail the corresponding A00-255 exam within 60 days of purchase, we full refund you: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

165 minutes for 55-60 questions. The TestKingFree Soft Test Engine lets you set test time and check accuracy — like the actual test, on any electronic equipment.

The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 blueprint spans 4 domains — including Pattern Analysis (10-15%), Data Sources (20-25%), Building Predictive Models (35-40%). Daily checks keep our material aligned; the complete outline above lists every subtopic.

Yes — download the free demo of the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 test braindump before you buy. Purchases include one-year free updating service — 365 days by email; renew afterward at 50% off.

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

Which model was picked as the best model by SAS Enterprise Miner?
Response:

  • A. Regression
  • B. None of the above
  • C. Decision Tree (3-way)
  • D. Decision Tree
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

  • A. 5862.76
  • B. 67409.93
  • C. 5.00
  • D. 14.69
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

  • A. two hidden layers
  • B. no hidden layer, direct connection between inputs and output is preferred
  • C. three or more hidden layers
  • D. one hidden layer
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

Correct Answer: D  🗳️

What is the kurtosis value for the variable TLDel60Cnt24?
Response:

  • A. between 14 and 16.99
  • B. less than 10
  • C. 17 or higher
  • D. between 10 and 13.99
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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