SPSS IBMSPSSMPRO Questions & Answers - in .pdf
- Vendor: SPSS
- Exam Code: IBMSPSSMPRO
- Exam Name: IBM SPSS Modeler Professional Certification
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- Vendor: SPSS
- Exam Code: IBMSPSSMPRO
- Exam Name: IBM SPSS Modeler Professional Certification
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SPSS IBMSPSSMPRO Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM SPSS Modeler Professional Certification |
| Exam Number: | IBMSPSSMPRO |
| Exam Price: | USD 200 |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | Historically valid while certification remained active; this certification program has been withdrawn. |
| Exam Format: | Scenario-based Questions, Multiple Choice |
| Passing Score: | 40 out of 60 questions (approximately 67%) |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Related Certifications: | IBM Certified Specialist - SPSS Modeler Professional v3 |
| Sample Questions: | SPSS IBMSPSSMPRO Sample Questions |
| Exam Way: | Pearson VUE authorized testing centers (historically); the certification and its associated exam have been withdrawn by IBM. |
| Pre Condition: | Recommended knowledge includes database and ODBC concepts, basic statistical concepts, and basic computer programming proficiency. No mandatory prerequisite exam was required. |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-modeler-professional-v3-47100203 |
SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Understanding | - Explore and assess data
| |
| Deployment | - Implement analytical solutions
| |
| Business Understanding and Planning | 10% | - Business objectives
|
| Modeling | - Build predictive models
| |
| Data Preparation | - Prepare data for modeling
| |
| Evaluation | - Assess model performance
|
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
Question #1
Some data mining model such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysis determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could ad with interpretation?
A. Plot node
B. Evaluation node
C. Distribution node
D. Histogram node
Question #2
The Select node shown below performs which operation?
A. Selects respondents whose incomes are between 20,000 and 50,000.
B. The expression is incorrect.
C. Selects respondents whose incomes are greater than or equal to 20, 000 and less than or equal to 50,000.
D. Selects respondents whose incomes are exactly 20,000 or 50,000.
Question #3
Which mode is not available In the Auto Numeric node?
A. Regression
B. Chaid
C. Neural Net
D. Logistic
Question #4
As a default, the Evaluation node provides a graph of the first category of your target field.
To change the category, you need to modify which sector?
A. Include business rule
B. User defined score
C. User defined hit
D. Export results to file
Question #5
The Feature Selection node is used for what reasons? (Select all that apply)
A. Ranks the model by importance.
B. Selects the best input fields for model.
C. Screens input fields for problems such as missing data.
D. Selects the best fitting model
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: A | Question #3 Correct Answer: C | Question #4 Correct Answer: C | Question #5 Correct Answer: A,C |
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