IBM SPSS Modeler Professional v2 : C2020-010 valid dumps

C2020-010 real exams

Exam Code: C2020-010

Exam Name: IBM SPSS Modeler Professional v2

Updated: Jul 25, 2026

Q & A: 55 Questions and Answers

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IBM C2020-010 Exam Syllabus Topics:

SectionWeightObjectives
Evaluation and Deployment15%- Export and score new data
- Monitoring deployed models
- Model evaluation and comparison
Administration and Troubleshooting10%- Process Engine logs and diagnostics
- Performance tuning and monitoring
Data Preparation30%- Data cleaning and transformation
- Merge, Append, and Field operations
- Sampling, balancing, and dimensionality reduction
- Type node and data coercion
Business and Data Understanding20%- Data visualization and distribution analysis
- Data sources and import using Source nodes
- CRISP-DM methodology and business objectives
Modeling25%- SQL pushback and performance optimization
- Supervised and unsupervised learning methods
- Model types and Auto Modeling nodes

IBM SPSS Modeler Professional v2 Sample Questions:

1. Which statement is the correct interpretation of the rule: "those that use less than or equal to 4.976 of LOCAL are predicted to be InVol"?

A) The rule applies to 88 people and the confidence is 80.7%.
B) This rule was accurate 88 times which was 80.7% of the time.
C) The accuracy of this rule cannot be determined.
D) Thisruledoesnotexist.


2. The Distribution node produces which output? (Choose two.)

A) Chart showing the count for each category of a field
B) Chart showing the distribution for a continuous field
C) Summary statistics for a continuous field
D) Table displaying the percentage and count for each category of a field


3. What are the advantages of pruning Decision Tree models? (Choose three.)

A) Pruning can improve the generalization of the tree.
B) Pruning can help simplify the tree.
C) Pruning can increase the accuracy of the tree.
D) Pruning can make the tree easier to interpret.


4. After using the Binning node and Optimal binning method on Debt to income ratio using Previously defaulted as the Supervisor Field. we observe in the Matrix table the following relationship between the binned field and Previously defaulted.

True or false: this relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the Binned field is maximized.

A) True
B) False


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) Histogram node
B) Evaluation node
C) Plot node
D) Distribution node


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A,D
Question # 3
Answer: A,B,D
Question # 4
Answer: A
Question # 5
Answer: A

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