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| Section | Objectives |
|---|---|
| Topic 1: IBM SPSS Modeler Functionality | - Automation and scripting capabilities - Using modeling, output, and utility nodes - Streams and stream management |
| Topic 2: Data Preparation | - Importing and accessing data sources - Using nodes for data preparation workflows - Data cleansing, transformation, and manipulation |
| Topic 3: Modeling Techniques | - Unsupervised learning algorithms - Supervised learning algorithms - Model evaluation and deployment |
| Topic 4: Model Deployment and Administration | - Deploying predictive models - Managing model results and scoring processes |
| Topic 5: IBM SPSS Modeler Overview | - Explain data mining concepts and CRISP-DM methodology - Understand SPSS Modeler architecture and components |
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. What are the options for defining outliers in the Data Audit node? (Choose two.)
A) Eigen values greater than 1
B) Inter quartile range
C) Standard deviations from the mean
D) Values that represent less than 1% of all values
3. What is the function of the Ensemble node?
A) Transforming the existing values to improve accuracy
B) None of the above
C) Combining models together to produce higher accuracy
D) The development of additional fields to improve accuracy
4. 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) A+B+C+D
B) sum_n([A, B, C, D])
C) Sum_n((ABCIJ))
D) to_real(A) + to_real(B) + to_real(C) + to_real(D)
5. Which Source node would you use to read text from a free-field (delimited) text file?
A) Enterprise View node
B) Data Collection node
C) Var. File node
D) Fixed File node
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B,C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C |
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