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IBM C2020-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Modeling Techniques | 20% | - Clustering and segmentation - Association rules and sequence detection - Neural networks and decision trees - Classification and regression models |
| Topic 2: Data Access and Source Nodes | 20% | - Import data from files and databases - Data preview and metadata inspection - Variable types and measurement levels |
| Topic 3: Introduction to SPSS Modeler and CRISP-DM | 15% | - Project and stream management - CRISP-DM methodology - Modeler interface and workbench |
| Topic 4: Data Preparation and Manipulation | 25% | - Merge and append datasets - Record operations: select, sort, aggregate, sample - Handling missing values and outliers - Field operations: derive, filter, reclassify, binning |
| Topic 5: Model Evaluation and Deployment | 5% | - Model accuracy and performance metrics - Model comparison and selection - Export and deploy models |
| Topic 6: Data Exploration and Visualization | 15% | - Descriptive statistics and distributions - Correlation and association analysis - Graph nodes: histograms, scatterplots, bar charts |
IBM SPSS Modeler Professional v2 Sample Questions:
1. True or false: a Database Export node can be used to write data to more than one database table in the same operation.
A) True
B) False
2. 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 full outer join.
B) An anti-join.
C) An inner join.
D) A partial outer join.
3. 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) sum_n([A, B, C, D])
B) A+B+C+D
C) Sum_n((ABCIJ))
D) to_real(A) + to_real(B) + to_real(C) + to_real(D)
4. Which values are available as Field Roles? (Choose three.)
A) Target
B) Nominal
C) Input
D) Partition
5. Which key items must be identified before a data mining project is started? (Choose three.)
A) Available data
B) Data quality problems
C) Available expertise on the data and business
D) A business problem or question
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A,C,D | Question # 5 Answer: A,C,D |
