QUESTION 1
A customer has a large data set with no target variables or known results and is looking for a good approach for understanding more about groups within the data set.  IBM C2090-930 exam Questions and Answers
Which two IBM SPSS Modeler Professional node applications represent a correct approach to accomplish this task? (Choose two.)
A. The customer uses a Kohonen node in an effort to group data into clusters using a self-organizing map of neurons.
B. The customer uses a TwoStep node to identify the optimal set of clusters within the data.
C. The customer uses a RFM Aggregate node to identify the optimal set of clusters within the data.
D. The customer uses a Carma node in an effort to group data into clusters using a self-organizing map of neurons.
Correct Answer: AB

QUESTION 2
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.
Correct Answer: C
C2090-930
QUESTION 3              C2090-930 exam
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?
A. History node
B. Filler node
C. Transpose node
D. Binning node
Correct Answer: A

QUESTION 4
Your data contains 5,000 sales transactions across twelve regions.
Which node would reduce your data, showing the average sales amount for each region?
A. Aggregate node
B. Select node
C. Filter node
D. Derive node
Correct Answer: D

QUESTION 5
You have designed a model predicting the goals scored for each player in the World Cup and now want to evaluate the model using held-out scoring data.
Which node is designed to produce this actual vs. predicted model evaluation?
A. Means
B. Apriori
C. Statistics
D. Analysis
Correct Answer: D

QUESTION 6
You are working on a project where the business objective is to increase customer retention. You havecompleted the Data Preparation stage of the CRISP-DM process model.
What is the next stage?
A. Data Understanding
B. Deployment
C. Evaluation
D. Modeling
Correct Answer: B

QUESTION 7
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
Correct Answer: B

QUESTION 8
What is an accurate description of the purpose of data segmentation?
A. Separate an individual data field into a predefined number of equal-sized groups according to the field values.
B. Assemble similar data across data sets by using a primary key.
C. Separate a data set into two equal partitions in preparation for continued analysis.
D. Group data using one or more fields to produce subsets with similar attributes.
Correct Answer: D

QUESTION 9
You are provided two data sources which both contain event IDs and the date/time that the events occurred. C2090-930 exam
Which node will merge these two data sources?
A. Append node
B. Filter node
C. Aggregate node
D. Sort node
Correct Answer: A

QUESTION 10
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.
Correct Answer: D

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