Exam Name: IBM SPSS Modeler Professional v2
Certification Provider: IBM
Corresponding Certification: IBM Certified Specialist
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Updated: Oct 28, 2026
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IBM C2020-010 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional v2 |
| Exam Number: | BAS-010 |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Passing Score: | 66% |
| Real Exam Qty: | 55 |
| Available Languages: | Japanese, English |
| Exam Format: | Single Answer, Multiple Answer, Multiple Choice |
| Exam Price: | USD 120 |
| Recommended Training: | Predictive Modeling Fundamentals IBM SPSS Modeler Foundations |
| Exam Registration: | IBM Training & Certification Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Proctored online or at authorized test centers (RETIRED: no longer available for registration, replaced by C2020-010) |
| Pre Condition: | No formal prerequisites; basic knowledge of statistics and data analysis recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/bas-010 |
IBM C2020-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Exploration and Visualization | 15% | - Descriptive statistics and distributions - Correlation and association analysis - Graph nodes: histograms, scatterplots, bar charts |
| Data Preparation and Manipulation | 25% | - Merge and append datasets - Record operations: select, sort, aggregate, sample - Field operations: derive, filter, reclassify, binning - Handling missing values and outliers |
| Introduction to SPSS Modeler and CRISP-DM | 15% | - Project and stream management - Modeler interface and workbench - CRISP-DM methodology |
| Model Evaluation and Deployment | 5% | - Model accuracy and performance metrics - Export and deploy models - Model comparison and selection |
| Data Access and Source Nodes | 20% | - Import data from files and databases - Variable types and measurement levels - Data preview and metadata inspection |
| Modeling Techniques | 20% | - Classification and regression models - Association rules and sequence detection - Clustering and segmentation - Neural networks and decision trees |
IBM SPSS Modeler Professional v2 Exam FAQ — Half the Effort
Book through the vendor's official registration channels:
The IBM SPSS Modeler Professional v2 is delivered Proctored online or at authorized test centers (RETIRED: no longer available for registration, replaced by C2020-010), so pick the arrangement that fits your schedule.
Yes — download the free trial of the IBM SPSS Modeler Professional v2 material before you buy. Members then enjoy free updating for 365 days, with new versions emailed promptly; renew afterward at 50% off.
The IBM SPSS Modeler Professional v2 is IBM's certification exam for IBM Certified Specialist - SPSS Modeler Professional v2, at the Specialist level. As a major exam recognized by most companies, it proves your IT ability to employers — including the big international ones.
The IBM SPSS Modeler Professional v2 blueprint covers 6 domains — including Data Preparation and Manipulation (25%), Introduction to SPSS Modeler and CRISP-DM (15%), Modeling Techniques (20%). Pay attention to the key points where weightings concentrate; the full outline above lists every subtopic.
USD 120 per attempt, 66% to pass. Half the effort works only with the right focus — rehearse with the 55 practice questions for the C2020-010 exam at ExamPrepAway before booking.
No formal prerequisites; basic knowledge of statistics and data analysis recommended Eligibility rules are updated periodically, so verify the current requirements on the official page (official C2020-010 exam page) before registering.
Files arrive by automatic email within a minute of payment — unlimited devices, and 24/7 customer assisting for any downloading or purchasing problem if nothing shows up within 2 hours. If you get a bad result on the corresponding C2020-010 exam within 60 days of purchase, the money is fully refunded: 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. You may instead exchange for two equal-value products free.
90 minutes for 55 questions. The online engine simulates the formal test atmosphere — practice anywhere, so the clock feels familiar on the day.
Yes:
Pair any official course with the 55 practice questions for the IBM SPSS Modeler Professional v2 — answers expert-verified, suitable for any level of candidate.
IBM SPSS Modeler Professional v2 Sample Questions:
To score new data using an existing model, the user must:
- A. Change the data source and rename the fields as needed to match the names of the fields in original file.
- B. Change the data source and develop a new model for that data.
- C. Not change the data source and develop a new model for that data.
- D. Change the data source and rename the fields so they do not match the names of the fields in original file.
Correct Answer: A 🗳️
Which statement accurately describes the function of the Coerce data check setting on the Type node?
- A. Checks fully instantiated fields for values outside the specified range and reports unspecified values.
- B. Checks all fields for values outside the specified range and reports unspecified values.
- C. None of the above is accurate.
- D. Checks fully instantiated fields for values outside the specified range and converts unspecified values to legal values.
Correct Answer: D 🗳️
What is the function of the Ensemble node?
- A. None of the above
- B. The development of additional fields to improve accuracy
- C. Transforming the existing values to improve accuracy
- D. Combining models together to produce higher accuracy
Correct Answer: D 🗳️
When using the Algorithm method to replace missing values in Data Audit output, which algorithm is used?
- A. 05.0
- B. Cox Regression
- C. C&RT
- D. Neural Net
Correct Answer: C 🗳️
Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if there are $null$ missing values in one or more fields. Which expression would accomplish this task?
- A. sum_n([A, B, C, D])
- B. Sum_n((ABCIJ))
- C. A+B+C+D
- D. to_real(A) + to_real(B) + to_real(C) + to_real(D)
Correct Answer: A 🗳️
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