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Updated: Sep 03, 2026
No. of Questions: 55 Questions & Answers with Testing Engine
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IBM BAS-010 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional v2 |
| Exam Number: | BAS-010 |
| Exam Price: | USD 120 |
| Passing Score: | 66% |
| Available Languages: | Japanese, English |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 55 |
| Exam Format: | Single Answer, Multiple Answer, Multiple Choice |
| Exam Duration: | 90 minutes |
| Recommended Training: | Predictive Modeling Fundamentals IBM SPSS Modeler Foundations |
| Exam Registration: | Pearson VUE IBM Training & Certification |
| Sample Questions: | IBM BAS-010 Sample Questions |
| Exam Way: | Proctored online or at authorized test centers (RETIRED: no longer available for registration, replaced by C2020-010) |
| Pre Condition: | No formal prerequisites; basic knowledge of statistics and data analysis recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/bas-010 |
IBM BAS-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Modeling Techniques | 20% | - Classification and regression models - Neural networks and decision trees - Clustering and segmentation - Association rules and sequence detection |
| Data Exploration and Visualization | 15% | - Descriptive statistics and distributions - Correlation and association analysis - Graph nodes: histograms, scatterplots, bar charts |
| Data Preparation and Manipulation | 25% | - Merge and append datasets - Field operations: derive, filter, reclassify, binning - Record operations: select, sort, aggregate, sample - Handling missing values and outliers |
| Model Evaluation and Deployment | 5% | - Model comparison and selection - Model accuracy and performance metrics - Export and deploy models |
| Data Access and Source Nodes | 20% | - Variable types and measurement levels - Import data from files and databases - Data preview and metadata inspection |
| Introduction to SPSS Modeler and CRISP-DM | 15% | - Project and stream management - CRISP-DM methodology - Modeler interface and workbench |
IBM SPSS Modeler Professional v2 Sample Questions:
Question 1
What are the advantages of pruning Decision Tree models? (Choose three.)
A. Pruning can help simplify the tree.
B. Pruning can increase the accuracy of the tree.
C. Pruning can improve the generalization of the tree.
D. Pruning can make the tree easier to interpret.
Question 2
Which key items must be identified before a data mining project is started? (Choose three.)
A. A business problem or question
B. Data quality problems
C. Available expertise on the data and business
D. Available data
Question 3
In Sequence modeling, specifying that IDs are contiguous has which effect?
A. Requires fewer observations to create a valid model.
B. Requires fewer fields to create the model.
C. Improves the model Silhouette measure.
D. Speeds up the processing.
Question 4
In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A. Stepwise
B. Backwards
C. Enter
D. Forwards
Question 5
True or false: in the PCA/Factor node when doing a Principal Components analysis without rotation, the values reported in the Component Matrix represents the correlation between each field and a factor.
A. False
B. True
Solutions:
| Question 1 Answer: A,C,D | Question 2 Answer: A,C,D | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: B |
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