IBM C2090-011 Exam Details & Actual Exam Questions
- Exam Code/Number: C2090-011
- Exam Name/Title: IBM SPSS Statistics Level 1 v2
- Certification Provider: IBM
- Corresponding Certification: IBM Certified Specialist
- Exam Questions: 55
- Updated On: Sep,10 2026
- Certification Level: Specialist
IBM SPSS Statistics Level 1 v2 Exam Questions
View C2090-011 actual exam questions, answers and explanations for free.
93% student found the test questions almost same
All the information you need to pass IBM SPSS Statistics Level 1 v2 C2090-011 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
(39 Up Votes)IBM C2090-011 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Statistics Level 1 v2 |
| Exam Number: | BAS-011 / C2090-011 |
| Exam Format: | Multiple Choice |
| Exam Price: | $200 USD |
| Real Exam Qty: | 55 |
| Exam Duration: | 90 minutes |
| Passing Score: | 67% |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Japanese |
| Recommended Training: | IBM Official Preparation Guide IBM SPSS Statistics Essentials |
| Exam Registration: | IBM Certification Portal Pearson VUE Registration |
| Sample Questions: | IBM C2090-011 Sample Questions |
| Exam Way: | Online proctored or onsite testing at Pearson VUE centers |
| Pre Condition: | No formal prerequisites; working knowledge of IBM SPSS Statistics v15 or higher recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-statistics-level-1-v2-47100102 |
IBM C2090-011 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Transformations | 18% | - Recoding variables - Counting values - IF conditions - Computing new variables |
| Data Understanding / Descriptives | 9% | - Frequencies and descriptive statistics - Measures of central tendency and dispersion - Crosstabs and means procedure |
| Data Management | 22% | - Handling duplicates and missing values - Adding/removing cases and variables - Aggregation and sorting - Select cases and split file |
| Reading and Defining Data | 16% | - Defining variable properties - Managing datasets - Reading data files |
| Basic Inferential Statistics | 13% | - T-tests - Correlation analysis - Linear regression basics - Chi-square tests |
| Operations and General Usage | 15% | - Navigation and interface settings - Saving and exporting files - Syntax editor usage |
| Output and Visualization | 7% | - Editing pivot tables - Creating and modifying charts - Exporting results |
0
0
0
10