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2021 Nov C2090-930 practice test

Q31. 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


Q32. You are attempting to flag outliers in a data set across multiple fields.

In IBM SPSS Modeler Professional, what would be the appropriate node to use?

A. COX

B. PCA/Factor

C. Anomaly

D. Apriori

Answer: B

Explanation: Regerence: ftp://ftp.software.ibm.com/software/analytics/spss/documentation/modeler/14.2/en/Modeling Nodes.pdf


Q33. 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

Answer: B


Q34. You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of five medications. The column. Drug, is a character field that describes the medication. You need to find out which proportion of the patients responded to each drug.

Which node should be used?

A. Web node

B. Distribution node

C. Sim Fit node

D. Evaluation node

Answer: C


Q35. You are hired by a large corporation to perform advanced analytics on their human resources data. One of the fields available in this data set is employee salary. You need to convert raw salary information into percentile rankings within the corporation.

Which node will you use to accomplish this task?

A. Binning node

B. Field Reorder node

C. Partition node

D. Distinct node

Answer: D


Replace C2090-930 test questions:

Q36. You need to score future data using an association model.

Which statement describes the data format requirement to do this?

A. An association model built using transactional data can be used to score tabular data.

B. An association model built using tabular data can be used to score transactional data.

C. Any association model can be used to score both transactional and tabular data: regardless of the format of the input data used to build the model.

D. An association model built using transactional data can only be used to score transactional data; an association model built using tabular data can only be used to score tabular data.

Answer: B


Q37. Referring to the exhibit, respectively, which field is the predicted value and what is the confidence that you have in the prediction?

A. $XS-Credit rating; $XSC-Credit rating

B. Credit rating; $XSC-Credit rating

C. $XSC-Credit rating; $XS-Credit rating

D. Credit rating; $XS-Credit rating

Answer: D


Q38. Besides providing a new predicted value, which additional task would some modeling nuggets perform?

A. Provide additional information regarding the quality of the prediction.

B. Filter non-target fields from being passed downstream.

C. Use the scored data to update itself to increase its accuracy.

D. Export the predictions to external storage or processes for further use.

Answer: C

Explanation: Reference:

http://www- 01.ibm.com/support/knowledgecenter/SS3RA7_17.0.0/clementine/record_ops_nodes.html


Q39. Referring to the exhibit, from which node is the output generated and on which data does it show greater accuracy?

A. Statistics, 1_Training

B. Statistics, 2_Testing

C. Analysis, 1_Training

D. Analysis, 2_Testing

Answer: B


Q40. What is a type of SuperNode within IBM SPSS Modeler Professional?

A. Terminal

B. Output

C. Import

D. Classification

Answer: D

Explanation: Reference:

ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf