IBM C2020-010 Questions & Answers - in .pdf
- Total Q&A: 55
- Update: Jul 26, 2026
- Price: $49.99
- Vendor: IBM
- Exam Code: C2020-010
- Exam Name: IBM SPSS Modeler Professional v2
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IBM C2020-010 Q&A - Testing Engine
- Total Q&A: 55
- Update: Jul 26, 2026
- Price: $49.99
- Vendor: IBM
- Exam Code: C2020-010
- Exam Name: IBM SPSS Modeler Professional v2
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IBM C2020-010 Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM SPSS Modeler Professional v2 |
| Exam Number: | BAS-010 |
| Exam Price: | USD 100 |
| Passing Score: | 65% |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 64 |
| Related Certifications: | IBM Certified Professional - IBM SPSS Modeler |
| Exam Format: | Multiple Choice |
| Available Languages: | English |
| Recommended Training: | IBM Training - SPSS Modeler Courses |
| Exam Registration: | IBM Certification Exams |
| Sample Questions: | IBM C2020-010 Sample Questions |
| Exam Way: | Online proctored exam or authorized testing center |
| Pre Condition: | Knowledge of data mining concepts, statistics fundamentals, and experience using IBM SPSS Modeler is recommended. |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation | - Data cleansing, transformation, and manipulation - Using nodes for data preparation workflows - Importing and accessing data sources |
| Topic 2: Model Deployment and Administration | - Deploying predictive models - Managing model results and scoring processes |
| Topic 3: IBM SPSS Modeler Functionality | - Using modeling, output, and utility nodes - Automation and scripting capabilities - Streams and stream management |
| Topic 4: Modeling Techniques | - Model evaluation and deployment - Unsupervised learning algorithms - Supervised learning algorithms |
| Topic 5: IBM SPSS Modeler Overview | - Explain data mining concepts and CRISP-DM methodology - Understand SPSS Modeler architecture and components |
IBM SPSS Modeler Professional v2 Sample Questions:
1. 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
2. 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) Include business rule
B) User defined score
C) User defined hit
D) Export results to file
3. True or false: a Database Export node can be used to write data to more than one database table in the same operation.
A) False
B) True
4. Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of the following nodes? (Choose two.)
A) Data Audit node
B) Sample node
C) Table node
D) Statistics node
5. Which nodes can be used to replace missing data with valid values? (Choose two.)
A) Data Audit node
B) Distribution node
C) Filter node
D) Filler node
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A,D | Question # 5 Answer: A,D |
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