IBM BAS-012 Exam Details & Actual Exam Questions
- Exam Code/Number: BAS-012
- Exam Name/Title: IBM SPSS Modeler Data Analysis for Business Partners v2
- Certification Provider: IBM
- Corresponding Certification: IBM Certified Associate
- Exam Questions: 25
- Updated On: Sep,09 2026
- Certification Level: Associate
IBM SPSS Modeler Data Analysis for Business Partners v2 Exam Questions
View BAS-012 actual exam questions, answers and explanations for free.
95% student found the test questions almost same
All the information you need to pass IBM SPSS Modeler Data Analysis for Business Partners v2 BAS-012 exam and free practice exam verified by EduDump exam experts.
Said the test questions were almost same
Passed the exams with the material
Found the study quides effective and helpful
This exam has been stopped to register, new exam code replace: C2090-012
IBM BAS-012 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Data Analysis for Business Partners v2 Exam |
| Exam Number: | BAS-012 |
| Related Certifications: | IBM Certified Associate - SPSS Modeler Data Analysis v2 |
| Real Exam Qty: | 25 |
| Exam Format: | Multiple Choice Questions |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | Certification expired/withdrawn |
| Recommended Training: | IBM Training and Certification |
| Exam Registration: | IBM Certification Program |
| Sample Questions: | IBM BAS-012 Sample Questions |
| Exam Way: | IBM certification exam delivered through authorized testing providers (historical delivery). |
| Pre Condition: | Designed for Business Partners with beginning knowledge of IBM SPSS Modeler version 14 or higher. Candidates should understand data mining activities including data preparation, data understanding, and modeling. |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-associate-spss-modeler-data-analysis-v2-47100302 |
IBM BAS-012 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Understanding | |
| Topic 2: Modeling | |
| Topic 3: Data Preparation | - Sampling cases - Aggregate data - Create new variables with the Derive Node - Data caching - Remove duplicates - Combine data files - Partition data |
0
0
0
10