Prepare with IBM C2020-010 exam practice material, pass for sure
Updated: Aug 30, 2026
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IBM C2020-010 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional v2 |
| Exam Number: | C2020-010 |
| Exam Format: | Multiple Choice, Multiple Select |
| Passing Score: | 66% |
| Related Certifications: | IBM Certified Specialist - SPSS Modeler |
| Exam Price: | $200 USD (approximate) |
| Available Languages: | English, Japanese |
| Real Exam Qty: | 55 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | No fixed expiration (valid indefinitely) |
| Recommended Training: | IBM SPSS Modeler Professional v2 Training |
| Exam Registration: | IBM Certification Portal Pearson VUE Registration |
| Sample Questions: | IBM C2020-010 Sample Questions |
| Exam Way: | Proctored online or onsite via Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended hands-on experience with IBM SPSS Modeler |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM C2020-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 25% | - SQL pushback and performance optimization - Model types and Auto Modeling nodes - Supervised and unsupervised learning methods |
| Business and Data Understanding | 20% | - Data sources and import using Source nodes - CRISP-DM methodology and business objectives - Data visualization and distribution analysis |
| Administration and Troubleshooting | 10% | - Process Engine logs and diagnostics - Performance tuning and monitoring |
| Evaluation and Deployment | 15% | - Monitoring deployed models - Export and score new data - Model evaluation and comparison |
| Data Preparation | 30% | - Type node and data coercion - Sampling, balancing, and dimensionality reduction - Data cleaning and transformation - Merge, Append, and Field operations |
IBM SPSS Modeler Professional v2 Sample Questions:
Question 1
As a default, the Evaluation node provides a graph of the first category of your target field. To change the category, you need to modify which section?
A. Export results to file
B. User defined score
C. User defined hit
D. Include business rule
Question 2
Which Model nodes can have a categorical target field? (Choose three.)
A. Neural Net node
B. Linear node
C. Discriminant node
D. C&R Tree node
Question 3
Which statement is correct regarding the Sample node dialog shown below?
A. It will always draw the same 60% of the records each time this Sample node is run.
B. It will select approximately 60% of the records. That is, each record will have a 60% probability of being selected.
C. It will select every 60th record from the data.
D. It will randomly select exactly 60% of all the records.
Question 4
Suppose you wanted to select only the records with complete data on all the fields for analysis and need to generate a Select node to perform that operation. Which other node should you use to generate the Select node?
A. Data Audit node
B. Derive node
C. Filler node
D. Filter node
Question 5
Some data mining models such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysts determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could aid with interpretation?
A. Distribution node
B. Histogram node
C. Evaluation node
D. Plot node
Solutions:
| Question 1 Answer: C | Question 2 Answer: A,C,D | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: B |
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