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SPSS IBMSPSSMPRO Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Business Understanding and Planning	10%	- Business objectives 1. Apply CRISP-DM methodology 2. Define business problems 3. Plan analytical projects
Topic 2: Deployment		- Implement analytical solutions 1. Score new data 2. Generate and communicate results 3. Deploy models into business processes
Topic 3: Data Understanding		- Explore and assess data 1. Identify field types and measurement levels 2. Audit data quality 3. Detect missing or invalid values
Topic 4: Evaluation		- Assess model performance 1. Validate predictive accuracy 2. Interpret evaluation metrics 3. Compare candidate models
Topic 5: Modeling		- Build predictive models 1. Clustering and segmentation 2. Regression models 3. Decision tree models 4. Association and sequence models 5. Neural network models
Topic 6: Data Preparation		- Prepare data for modeling 1. Import and export data 2. Merge and append datasets 3. Sample and filter data 4. Transform and bin variables 5. Aggregate and restructure records 6. Derive and reclassify fields

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

1. Looking at the gains chart shown below, which model has a higher level of accuracy when predicting Churn = "Y"?

A) The structured and unstructured data model
B) Predictive accuracy cannot be determined from this gains chart
C) The structured data model
D) The models are equivalent

2. The Feature Selection node is used for what reasons? (Select all that apply)

A) Screens input fields for problems such as missing data.
B) Selects the best input fields for model.
C) Selects the best fitting model
D) Ranks the model by importance.

3. A Database Export node can be used to write data to more than one database table in the same operation.

A) True
B) False

4. In Sequence modeling, specifying that IDs are contiguous has which effect?

A) Speeds up the processing
B) Improves the model Silhouette measure.
C) Requires fewer fields to create the model
D) Requires fewer observations to create a valid model.

5. Which statements are true of the Feature Selection node? (Select all that apply)

A) Input fields can be selected on the basis or importance.
B) The Input fields can only be continuous measurement.
C) The Target fields can be either categorical or continuous measurement.
D) When a target field is not specified then it will create a generalized output.

Solutions:

Question # 1
Answer: A

Question # 2
Answer: A,D

Question # 3
Answer: B

Question # 4
Answer: A

Question # 5
Answer: A,C