Vendor: IBM
Certifications: IBM Certifications
Exam Name: IBM SPSS Modeler Sales Mastery Test v1
Exam Code: M2090-732
Total Questions: 44 Q&As ( View Details)
Last Updated: Mar 14, 2025
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VCE
IBM M2090-732 Last Month Results
M2090-732 Q&A's Detail
Exam Code: | M2090-732 |
Total Questions: | 44 |
Single & Multiple Choice | 44 |
CertBus Has the Latest M2090-732 Exam Dumps in Both PDF and VCE Format
M2090-732 Online Practice Questions and Answers
Which is NOT a competitor for IBM SPSS Modeler?
A. RapidMiner
B. R
C. SAS
D. Tableau
Which pain point of business executives is best addressed by IBM SPSS Modeler?
A. The need to make smarter decisions at all levels of the organization.
B. Rapidly increasing marketing costs.
C. Inability to automate routine analytics tasks.
D. Regulatory compliance.
Which IBM SPSS Modeler edition is the best match for the below value proposition?
Combines predictive analytics on all data - structured and unstructured - with decision management capabilities to make better decisions at the point of impact.
A. IBM SPSS Modeler Gold
B. IBM SPSS Modeler Premium
C. IBM SPSS Modeler Professional
D. All IBM SPSS Modeler editions share this value proposition
Which IBM SPSS Modeler edition best matches the below value proposition?
Provides a range of advanced algorithms, data manipulation and automated modeling and preparation techniques to build predictive models and uncover hidden patterns in structured data.
A. IBM SPSS Modeler Gold
B. IBM SPSS Modeler Premium
C. IBM SPSS Modeler Professional
D. All IBM SPSS Modeler editions share this value proposition
Which words complete the value proposition for IBM SPSS Modeler Premium?
The differentiating features of IBM SPSS Modeler Premium that can address a wider multitude of business cases and create more accurate models on structured and unstructured data are____________, ____________and _____________.
A. Space Time Boxes, Logistic Regression, Automatic Data Preparation
B. Text Analytics, Entity Analytics, Social Network Analysis
C. Database access, SQL pushback, Integration with IBM SPSS Statistics
D. Classification models, Association models, Clustering models
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