IBM C2020-010 Q&A - in .pdf

  • C2020-010 pdf
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Aug 06, 2026
  • Q & A: 55 Questions and Answers
  • Convenient, easy to study.
    Printable IBM C2020-010 PDF Format. It is an electronic file format regardless of the operating system platform.
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  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
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  • Updated: Aug 06, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Q&A - Testing Engine

  • C2020-010 Testing Engine
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Aug 06, 2026
  • Q & A: 55 Questions and Answers
  • Uses the World Class C2020-010 Testing Engine.
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IBM C2020-010 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Introduction to SPSS Modeler and CRISP-DM15%- Project and stream management
- Modeler interface and workbench
- CRISP-DM methodology
Topic 2: Data Exploration and Visualization15%- Correlation and association analysis
- Graph nodes: histograms, scatterplots, bar charts
- Descriptive statistics and distributions
Topic 3: Data Preparation and Manipulation25%- Handling missing values and outliers
- Merge and append datasets
- Field operations: derive, filter, reclassify, binning
- Record operations: select, sort, aggregate, sample
Topic 4: Data Access and Source Nodes20%- Data preview and metadata inspection
- Variable types and measurement levels
- Import data from files and databases
Topic 5: Model Evaluation and Deployment5%- Model accuracy and performance metrics
- Model comparison and selection
- Export and deploy models
Topic 6: Modeling Techniques20%- Association rules and sequence detection
- Neural networks and decision trees
- Clustering and segmentation
- Classification and regression models
IBM SPSS Modeler Professional v2 Sample Questions:

1. Which statement accurately describes the function of the Coerce data check setting on the Type node?

A) Checks all fields for values outside the specified range and reports unspecified values.
B) Checks fully instantiated fields for values outside the specified range and converts unspecified values to legal values.
C) None of the above is accurate.
D) Checks fully instantiated fields for values outside the specified range and reports unspecified values.


2. Which key items must be identified before a data mining project is started? (Choose three.)

A) Available expertise on the data and business
B) A business problem or question
C) Data quality problems
D) Available data


3. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?

A) Forwards
B) Enter
C) Stepwise
D) Backwards


4. What is the reason the three nodes in the following figure have been colored purple?

A) BM SPSS Modeler is running out of memory.
B) The purple nodes will be executed later.
C) The purple nodes were pushed back to the database.
D) There are multiple Type nodes in a row.


5. Examine the output generated by the K-Means clustering model.

Study the results of the Distribution node relating the clusters created by K-Means to the outcome (dependent) field current customers; Vol = customers that left; In Vol = customers that were dropped because they did not pay).

A) Improve the long distance calling plan and rates.
B) Improve the international calling plan and rates.
C) Improve the local calling plan and rates.
D) Create a"Pay as You Go"plan (pay only for the minutes you use).


Solutions:

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

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