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IBM C2020-010 Exam Syllabus Topics:

SectionWeightObjectives
Data Access and Source Nodes20%- Variable types and measurement levels
- Data preview and metadata inspection
- Import data from files and databases
Model Evaluation and Deployment5%- Model accuracy and performance metrics
- Model comparison and selection
- Export and deploy models
Data Preparation and Manipulation25%- Record operations: select, sort, aggregate, sample
- Handling missing values and outliers
- Merge and append datasets
- Field operations: derive, filter, reclassify, binning
Data Exploration and Visualization15%- Graph nodes: histograms, scatterplots, bar charts
- Descriptive statistics and distributions
- Correlation and association analysis
Modeling Techniques20%- Clustering and segmentation
- Neural networks and decision trees
- Association rules and sequence detection
- Classification and regression models
Introduction to SPSS Modeler and CRISP-DM15%- CRISP-DM methodology
- Project and stream management
- Modeler interface and workbench

IBM SPSS Modeler Professional v2 Sample Questions:

1. Which statement accurately describes the function of the Coerce data check setting on the Type node?

A) None of the above is accurate.
B) Checks all fields for values outside the specified range and reports unspecified values.
C) Checks fully instantiated fields for values outside the specified range and reports unspecified values.
D) Checks fully instantiated fields for values outside the specified range and converts unspecified values to legal values.


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


3. What are the options for defining outliers in the Data Audit node? (Choose two.)

A) Values that represent less than 1% of all values
B) Standard deviations from the mean
C) Inter quartile range
D) Eigen values greater than 1


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

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


5. Which statement is the correct interpretation of the rule: "those that use less than or equal to 4.976 of LOCAL are predicted to be InVol"?

A) The rule applies to 88 people and the confidence is 80.7%.
B) Thisruledoesnotexist.
C) This rule was accurate 88 times which was 80.7% of the time.
D) The accuracy of this rule cannot be determined.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: B,C
Question # 4
Answer: A,C
Question # 5
Answer: A

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