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IBM C2020-010 Exam Syllabus Topics:

Section	Objectives
Model Evaluation	- Model Comparison 1. Cross-validation 2. Model selection techniques - Model Assessment 1. Confusion matrix interpretation 2. ROC and lift charts
Deployment and Streams	- Model Deployment 1. Scoring models 2. Exporting models - SPSS Modeler Streams 1. Stream construction and execution 2. Node configuration and management
Model Building	- Clustering Techniques 1. Two-step clustering 2. K-means clustering - Predictive Modeling 1. Regression models 2. Classification models
Data Understanding	- Data Quality 1. Outlier detection 2. Missing value analysis - Data Exploration 1. Data types and structures in SPSS Modeler 2. Data profiling and summary statistics
Data Preparation	- Data Integration 1. Data aggregation 2. Merge and append operations - Data Transformation 1. Normalization and standardization 2. Derived fields creation

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. Which key items must be identified before a data mining project is started? (Choose three.)

A) Available data
B) Available expertise on the data and business
C) Data quality problems
D) A business problem or question

3. Given the following Output Table - to create a Select node which includes vehicles from both groups 4 and B, click on 4 and on B (as shown) and select from the menu:

A) Generate...Select Node ("And").
B) Generate...Select Node ("Or").
C) Edit... Select Node ("Or").
D) Edit...Select Node ("And").

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 section?