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IBM C2020-010 Valid Braindumps - IBM SPSS Modeler Professional v2

C2020-010
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Sep 18, 2026
  • Q & A: 55 Questions and Answers
  • PDF Version

    Free Demo
  • PDF Price: $49.99
  • IBM C2020-010 Value Pack

    Online Testing Engine
  • PDF Version + PC Test Engine + Online Test Engine (free)
  • Value Pack Total: $69.99

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IBM C2020-010 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Evaluation and Deployment15%- Export and score new data
- Monitoring deployed models
- Model evaluation and comparison
Topic 2: Data Preparation30%- Merge, Append, and Field operations
- Sampling, balancing, and dimensionality reduction
- Type node and data coercion
- Data cleaning and transformation
Topic 3: Administration and Troubleshooting10%- Process Engine logs and diagnostics
- Performance tuning and monitoring
Topic 4: Business and Data Understanding20%- Data visualization and distribution analysis
- CRISP-DM methodology and business objectives
- Data sources and import using Source nodes
Topic 5: Modeling25%- SQL pushback and performance optimization
- Supervised and unsupervised learning methods
- Model types and Auto Modeling nodes

IBM SPSS Modeler Professional v2 Sample Questions:

Question #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. An inner join.
  • B. A full outer join.
  • C. An anti-join.
  • D. A partial outer join.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

True or false: business objectives are the origin & every data mining solution.

  • A. False
  • B. True
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

The Feature Selection node is used for what reasons? (Choose two.)

  • A. Selects the best fitting model.
  • B. Selects the best input fields for model.
  • C. Screens input fields for problems such as missing data.
  • D. Ranks the models by importance.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

Question #4

Which statement is correct regarding the Balance node shown below?

  • A. The result group sizes will always be the same each time the Balance node is run.
  • B. The sizes of the first and third groups will be increased.
  • C. The "bad profit" category is the smallest group.
  • D. The sizes of the larger two groups will be reduced to equal the size of the smallest group.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

Which statement is correct regarding the Sample node dialog shown below?

  • A. It will select every 60th record from the data.
  • B. It will always draw the same 60% of the records each time this Sample node is run.
  • C. It will select approximately 60% of the records. That is, each record will have a 60% probability of being selected.
  • D. It will randomly select exactly 60% of all the records.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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