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You have a model nugget in the Models palette, but the stream used to create the model is not available. You want to refresh the model by rebuilding it on a new data set, but using the same variables and settings used to build the original model nugget. Which capability in the modeling nuggets in the Models palette will you use for this purpose?
Add To Stream
Generate Modeling node
An organization wants to determine why they are losing customers. Which supervised modeling technique would be used to accomplish this task?
An e-retailer conducting a data mining project has limited an initial study to approximately 30,000 customers who have registered on the site. There are still millions of records in the Web logs. The data miner wants to determine the frequency distribution of the age of their customers. The Age column is acontinuous field. Which node would you use to accomplish this task?
Sim Fit node
When describing data, which two nodes address value types? (Choose two.)
Data Audit node
Answer: A, D
You want to calculate the difference between the minimum and maximum values of some of your data fields. Which feature or mode of the Aggregate node would allow you to calculate this using a single node?
You are provided with a data set that includes daily maximum temperatures at an airport. Your analysis requires you to create a new field containing the maximum temperature from five days ago. Which node would be used for this purpose?
When using IBM SPSS Modeler Professional, you want to organize your streams, annotations, stream output, and results within the interface. Which two tabs within Modeler will allow you to accomplish this goal? (Choose two.)
Answer: B, C
IBM C2020-930 Exam (IBM SPSS Modeler Professional v3) Detailed Information
C2090-930 Test Information / Examination Information
Number of questions : 60 Time allowed in minutes: 90 Required passing score : 67% Languages : English
Test C2090-930: IBM SPSS Modeler Professional v3
Overview- selected tab,
Sample / Assessment Test
This test will certify that the successful candidate has the fundamental knowledge to participate as an effective team member in the implementation of IBM SPSS Modeler Professional analytics solutions.
SPSS Modeler Professional Functionality (10%)
Identify the purpose of each palette
Describe the use of SuperNodes
Describe the advantages of SPSS Modeler scripting
Business Understanding and Planning (10%)
Describe the CRISP-DM process
Describe how to map business objectives to data mining goals
Data Understanding (15%)
Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes)
Describe data quality issues (for example, outliers and missing data)
Data Preparation (20%)
Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node)
Describe how to integrate data (for example, Merge node and Append node)
Describe sampling, partitioning, and balancing data (for example, Sample node, Balance node and Partition node)
Describe methods for refining data (for example, Select node, Filter node and Aggregate node)
Describe classification models (including GLM and regression)
Describe segmentation models
Describe association models
Describe auto modeling nodes
Demonstrate how to combine models using the Ensemble node
Evaluation and Analysis (15%)
Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations)
Describe how to use model nugget interfaces
Describe how to use Export nodes (tools for exporting data)
Identify how to score new data using models
Identify SPSS Modeler reporting methods
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