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Q1. Which task is part of the Data Understanding stage of the CRISP-DM process model?
A. Explore data
B. Balance data
C. Clean data
D. Construct data
Answer: C
Q2. What are two purposes of model nuggets? (Choose two.)
A. Scoring data to generate predictions
B. Enabling further analysis of the model properties
C. Merging of two or more data sets
D. Reducing the number of columns in a data set
Answer: B,D
Q3. You have a large amount of data from which you want to build a model. Although many of the records of data are complete, there are substantial amounts of records which contain missing data. The records containing incomplete information should be excluded from analysis.
Which node will exclude the undesired records?
A. Filler node
B. Filter node
C. Select node
D. Aggregate node
Answer: C
Q4. Which capability would be achieved by only creating a SuperNode in IBM SPSS Modeler Professional?
A. To merge multiple input data sources into one large combined data set for streamlined data processing and summary statistics
B. To shrink the data stream by grouping several nodes into one node so that streams are neater and more manageable
C. To summarize data outliers, extremes, and missing values within the data set and offers tools for handling these values
D. To evaluate the ability of models to generate accurate predictions and perform comparisons between predicted values and actual values for models
Answer: B
Explanation: Reference:
ftp://ftp.software.ibm.com/software/analytics/spss/documentation/modeler/14.2/en/SourceProcessOutputNodes.pdf
Q5. You have a data source which provides many fields needed for data scoring. Some of these fields are not needed after the scoring is complete for the rest of the stream to operate.
Which node should be used to remove these fields?
A. Filter node
B. Select node
C. Sample Node
D. Type node
Answer: B
Q6. You have a poorly performing risk model and are looking for strategies to improve performance. You know that only about one percent of your cases represent risk, and you have over 1 million cases to use for training purposes.
What is the correct approach to test for improving performance?
A. Use the Time Series node to reduce the number of all cases by a factor of 100.
B. Use the CHAID node to reduce the number of all cases used to train the model by half.
C. Use the Balance node to reduce the number of non-risky cases used to train the model by a factor of 100.
D. Use the Ensemble node to reduce the number of non-risky cases used to train the model by a factor of-100.
Answer: D
Q7. Which two types of missing values are automatically recognized by IBM SPSS Modeler Professional without being explicitly defined by users? (Choose two.)
A. Null or system-missing values
B. String with value "%NULL%"
C. Blank missing values
D. Numeric set to NaN
Answer: B,D
Q8. You need to produce a variety of data files that will be viewed in external applications outside of IBM SPSS Modeler Professional, such as IBM SPSS Statistics or Microsoft Excel.
Which palette tab would be used in this scenario?
A. Output
B. Export
A. C. Source
D. Modeling
Answer: C
Q9. You have executed a model node which has generated a model nugget connected to your stream's data source.
What will allow the stream to score data with this new nugget?
A. Remove any partition node to allow all data to be scored.
B. Add a Discriminant node to use the nugget model for scoring.
C. Remove the Reclassify node to use the nugget model for scoring.
D. Add an output node downstream from the nugget.
Answer: C
Q10. When describing data, which two nodes address value types? (Choose two.)
A. Data Audit node
B. Statistics node
C. Type node
D. Report node
Answer: A,C