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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 |
| Exam Price: | $200 USD (approximate) |
| Real Exam Qty: | 55 |
| Available Languages: | English, Japanese |
| Exam Duration: | 90 minutes |
| Passing Score: | 66% |
| Related Certifications: | IBM Certified Specialist - SPSS Modeler |
| 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 |
|---|---|---|
| Topic 1: Business and Data Understanding | 20% | - Data sources and import using Source nodes - CRISP-DM methodology and business objectives - Data visualization and distribution analysis |
| Topic 2: Modeling | 25% | - Supervised and unsupervised learning methods - Model types and Auto Modeling nodes - SQL pushback and performance optimization |
| Topic 3: Evaluation and Deployment | 15% | - Model evaluation and comparison - Monitoring deployed models - Export and score new data |
| Topic 4: Data Preparation | 30% | - Data cleaning and transformation - Merge, Append, and Field operations - Type node and data coercion - Sampling, balancing, and dimensionality reduction |
| Topic 5: Administration and Troubleshooting | 10% | - Performance tuning and monitoring - Process Engine logs and diagnostics |
IBM SPSS Modeler Professional v2 Sample Questions:
1. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Forwards
B) Stepwise
C) Backwards
D) Enter
2. 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) to_real(A) + to_real(B) + to_real(C) + to_real(D)
B) Sum_n((ABCIJ))
C) A+B+C+D
D) sum_n([A, B, C, D])
3. True or false: business objectives are the origin & every data mining solution.
A) True
B) False
4. Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistencies in the category keys used in both the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:
A) An anti-join.
B) An inner join.
C) A full outer join.
D) A partial outer join.
5. The Distribution node produces which output? (Choose two.)
A) Chart showing the distribution for a continuous field
B) Summary statistics for a continuous field
C) Chart showing the count for each category of a field
D) Table displaying the percentage and count for each category of a field
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C,D |
By Cathy
