Free IBM M2020-732 Exam Dumps Questions & Answers

Which of these features require that customers have entitlement to IBM SPSS Modeler Server?

• A.  Space Time Boxes
• B.  SQL Pushback, In Database Scoring Adapters and In Database Mining
• C.  Python Scripting and R integration
• D.  Monte Carlo Simulation and Social Network Analytics

Which is a differentiating feature for IBM SPSS Modeler?

• A.  Creates visually interesting reports and dashboards.
• B.  Has pre-packaged models for churn, fraud and marketing.
• C.  Uses a proprietary data format for speed and performance.
• D.  Has in-database mining and SQL pushback for enterprise scale.

What is the main purpose of segmentation algorithms in IBM SPSS Modeler?

• A.  To prepare a data set for optimal modeling.
• B.  To discover linked purchases and other occurrences.
• C.  To divide the market or customer base into groups.
• D.  To reduce data to a simpler form.

Which statement best describes the integration between IBM Cognos and IBM SPSS Modeler?

• A.  Data used in IBM Cognos BI and IBM TM1 is directly available to IBM SPSS Modeler, and results can be written to the database for IT to make available for reporting.
• B.  Data used in IBM Cognos BI and IBM TM1 is directly available to IBM SPSS Modeler, and results calculated are available for reporting.
• C.  Data used in IBM Cognos BI and IBM TM1 is exported into a file and then read into IBM SPSS Modeler for further analysis.
• D.  IBM SPSS Modeler creates an IBM Cognos report that can be added to an IBM Cognos BI dashboard.

Which business case scenario does NOT fit IBM SPSS Modeler capabilities?

• A.  An insurance firm uses SPSS Modeler to help plan and optimize its outbound marketing campaigns across product groups and channels.
• B.  A stockbroker delivers above average market returns by using IBM SPSS Modeler to pick stocks to invest in.
• C.  A college relies on SPSS Modeler to predict which students are less likely to return to school.
  CA bank fights the spread of an eroding customer base by using predictive analytics to identify customers likely to leave the bank.