This webdemo is just a demo data, only for reference and learning, there is no other purposes.
1.Which mining model needs to be processed through training and testing phase before being applied into the Scoring function?
A. Sequential
B. Clustering
C. Association
D. Classification
Answer: D
3. An insurance company wants to use data mining to predict fraudulent
claims. Based on historical data, 1% of claim transactions were
classified as fraud. To work on this problem, the Predictor and Tester
mining operators in DWE Design Studio were used to analyze a small
subset of claim history data. Which preprocessing function operator is
the most efficient mechanism to feed data into the Predictor mining
operator?
A. Sampler
B. Select List
C. Random Splitter
D. Field Extractor
Answer: C
4. A group of Alphablox users needs a report which contains rule heads
and bodies of an Association model in a tabular format. Which of the
following describes a complete Mining Flow that loads the model output
of an Associations operator into a table?
A. Table Source ---> Associations --> Table Target
B. Table Source ---> Associations --> Associations Extractor
C. Table Source ---> Associations --> Visualizer --> Table Target
D. Table Source ---> Associations --> Associations Extractor --> Table Target
Answer: D
5. An investment banking company wants to use data mining to predict
customer lapsing behavior. The cost of losing existing customers is
very high, and the company wants to keep all customers happy. Based on
a recent customer survey with a small subset of existing customers, 2%
of customers indicated they were not satisfied. To predict whether or
not a customer is satisfied, Predictor and Tester operators in DWE
Design Studio were used to analyze the survey results. Which of the
following should be done in this situation?
A. Increase the Maximum tolerated systematic error (RSquared).
B. Decrease the Maximum tolerated systematic error (RSquared).
C. Increase the weight of "Satisfied (Actual) & Dissatisfied (Predicted)" in the Cost Matrix parameter option.
D. Increase the weight of "Dissatisfied (Actual) & Satisfied (Predicted)" in the Cost Matrix parameter option.
Answer: D
6. As part of a market basket analysis effort, a retail company needs
to analyze sales transaction data to understand which products tend to
be bought together by the same customer during each visit to the store.
Which data mining function is most appropriate for this business
problem?
A. Clustering
B. Regression
C. Associations
D. Classification
Answer: C
7. Application data changes over time and differs from that used to
train a classification model M. Assume that a mining flow with a Tester
operator with M and the application data as input and a test model T as
output has been defined. What must be done to check if M can still
safely be applied?
A. Open T in a visualizer and check the tree depth. If the tree depth is greater than 10, the model is OK.
B. Open T in a visualizer and check the model quality figures. If the quality is greater than 0.5, the model is OK.
C. Open M and T in a visualizer and check the tree depth. If the tree
depth of T is greater than the tree depth of M, the model is OK.
D. Open M and T in a visualizer and check the model quality figures. If
the quality is about the same as the quality of M, the model is OK.
Answer: D
8. Which of the following must be fulfilled to execute a mining flow that creates a classification model in the database?
A. All input and output ports of all operators must be connected.
B. The flow must contain a Predictor operator whose properties define a Cost Matrix.
C. The flow must contain a Predictor operator whose output port must be connected to a Visualizer.
D. The flow must contain a Predictor operator whose properties (Mining Settings) define a categorical target column.
Answer: D
2. A classification model (in PMML format) was created by a third party
vendor tool such as SPSS. After importing the model into DB2, where is
it stored?
A. In a user-specified table
. under an automatically generated name, e.g. SPSS_017.
B. In the table IDMMX.CLASSIFMODELS under a user-specified MODELNAME.
The default is the value of the attribute "modelname" in the PMML
TreeModel.
C. In the table .CLASSIFMODELS under a user-specified
MODELNAME. The default is the value of the attribute "modelname" in the
PMML TreeModel.
D. In a user-specified table . under a
user-specified MODELNAME. The default is the value of the attribute
"modelname" in the PMML TreeModel.
Answer: B
