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IBM M2090-732 Exam Questions
Status: RETIRED
Exam Name: IBM SPSS Modeler Sales Mastery Test
Exam Code:
M2090-732
Related Certification(s): IBM Mastery Certification
Certification Provider: IBM
Actual Exam Duration: 75 Minutes
Number of M2090-732 practice questions in our database:
44
(updated: 02-03-2021)
Expected M2090-732 Exam Topics, as suggested by IBM :
- Topic 1: Identify IBM SPSS Modeler cross sell and upsell opportunities/ Identify the users of IBM SPSS Modeler
- Topic 2: Understand the difference between usage and deployment/ Identify the buyers of IBM SPSS Modeler
- Topic 3: Identify the component parts needed to meet a prospect solution/ Describe the scope and opportunity for IBM SPSS Modeler
- Topic 4: Describe how to provide post-sales nurturing for an IBM SPSS Modeler opportunity/ Describe the IBM SPSS Modeler value proposition
- Topic 5: Describe how to progress a IBM SPSS Modeler opportunity/ Describe the characteristics of the IBM SPSS Modeler market
- Topic 6: Qualifying the IBM SPSS Modeler opportunity/ Describe the IBM SPSS Modeler offering options
- Topic 7: Describe the IBM SPSS Modeler value to the target buyers for each offering/ Know the processes for opportunity identification and opportunity registration
- Topic 8: Identify potential pain points by prospect's role in the buying cycle/ Describe the IBM SPSS Modeler capabilities
- Topic 9: Describe how to position IBM SPSS Modeler solutions within the prospect's industry/ Identity characteristics that define a qualified IBM SPSS Modeler opportunity
- Topic 10: Determine opportunity scope - understand buyers objectives/ Describe core differentiators
Disscuss IBM M2090-732 Topics, Questions or Ask Anything Related
Free IBM M2090-732 Exam Actual Questions
Note: Premium Questions for M2090-732 were last updated On 02-03-2021 (see below)
Question #1
Question #2
Question #3
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 _____________.
Correct Answer:
B
Question #4
Question #5
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