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IBM C2020-010 Exam Syllabus Topics:

Section	Objectives
Topic 1: Model Building	- Clustering Techniques 1. Two-step clustering 2. K-means clustering - Predictive Modeling 1. Classification models 2. Regression models
Topic 2: Deployment and Streams	- SPSS Modeler Streams 1. Node configuration and management 2. Stream construction and execution - Model Deployment 1. Scoring models 2. Exporting models
Topic 3: Data Preparation	- Data Transformation 1. Normalization and standardization 2. Derived fields creation - Data Integration 1. Data aggregation 2. Merge and append operations
Topic 4: Model Evaluation	- Model Comparison 1. Model selection techniques 2. Cross-validation - Model Assessment 1. ROC and lift charts 2. Confusion matrix interpretation
Topic 5: Data Understanding	- Data Exploration 1. Data profiling and summary statistics 2. Data types and structures in SPSS Modeler - Data Quality 1. Missing value analysis 2. Outlier detection

IBM SPSS Modeler Professional v2 Sample Questions:

1. What is the reason the three nodes in the following figure have been colored purple?

A) The purple nodes will be executed later.
B) BM SPSS Modeler is running out of memory.
C) There are multiple Type nodes in a row.
D) The purple nodes were pushed back to the database.

2. Which statement about the Filler dialog shown below is correct?

A) No missing values will be replaced because neither field was specified in the Condition box for missing value replacement.
B) The missing values for both GE and INCOME will be replaced by zeroes.
C) Missing values for the field @RELD will be replaced.
D) None of the statements is correct.

3. Which stage of the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology is the most time consuming?

A) Business Understanding
B) Evaluation
C) Data Preparation
D) Modeling

4. What are the advantages of pruning Decision Tree models? (Choose three.)

A) Pruning can improve the generalization of the tree.
B) Pruning can make the tree easier to interpret.
C) Pruning can increase the accuracy of the tree.
D) Pruning can help simplify the tree.

5. Which nodes can be used to replace missing data with valid values? (Choose two.)

A) Distribution node
B) Filter node
C) Data Audit node
D) Filler node

Solutions:

Question # 1
Answer: D

Question # 2
Answer: B

Question # 3
Answer: C

Question # 4
Answer: A,B,D

Question # 5
Answer: C,D