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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM SPSS Modeler Overview | - Understand SPSS Modeler architecture and components - Explain data mining concepts and CRISP-DM methodology |
| Topic 2: Data Preparation | - Importing and accessing data sources - Data cleansing, transformation, and manipulation - Using nodes for data preparation workflows |
| Topic 3: Modeling Techniques | - Supervised learning algorithms - Unsupervised learning algorithms - Model evaluation and deployment |
| Topic 4: Model Deployment and Administration | - Managing model results and scoring processes - Deploying predictive models |
| Topic 5: IBM SPSS Modeler Functionality | - Using modeling, output, and utility nodes - Automation and scripting capabilities - Streams and stream management |
IBM SPSS Modeler Professional v2 Sample Questions:
1. 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) A partial outer join.
B) A full outer join.
C) An inner join.
D) An anti-join.
2. 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) Thisruledoesnotexist.
B) The accuracy of this rule cannot be determined.
C) The rule applies to 88 people and the confidence is 80.7%.
D) This rule was accurate 88 times which was 80.7% of the time.
3. Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Choose two.)
A) None of the above
B) Easter to score
C) Easier interpretation
D) Higher accuracy
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. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
A) Matrix node
B) Table node
C) Distribution node
D) Means node
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B,C | Question # 4 Answer: A | Question # 5 Answer: A,C |




