SNIA Qualified Storage Sales Professional (SQSSP)

SNIA's new Qualified Storage Sales Professional (SQSSP) credential is vendor neutral and is designed to validate storage concepts, terminology and basic customer need assessments.  

In direct response to firms requesting specialized training for their sales and marketing professionals, this vendor–neutral training and credential provides individuals withll the technologies in today’s complex data center. Increase the knowledge base and credibility of your sales professionals by arming them with a broad set of information about a variety of different solutions in the storage ecosystem. Demonstrate to your customers that as a field representative you can speak with authority and know–how. A SNIA credential on your business card provides just the “leg up” that tight economies and budgets now require.

Requires Passing

  • SNIA Qualified Storage Sales Professional exam (S10-905).
  • Click here to see detailed description of what will be covered in the exam.

Exam Specs

  • 40 test items
  • 90 minutes
  • Cost: $100.00 USD payable via credit card on-line
  • Passing score:  70%

This is an on-line non-proctored test designed for the Storage Sales Professional or those IT Sales Professionals who are entering the storage domain. The test is designed to be informative and will be updated frequently to meet the needs of the SNIA Qualified Storage Sales Professional participant.

The successful candidate will receive the use of the SQSSP logo and a certificate (pdf). Since it is a qualification test, it will not count towards the SNIA SCSN-E credential.

Please go to http://ibt.prometric.com/snia to take the test.  

Self Study Material

SNIA offers an E-Course study guide available online to give you the freedom to study at your convenience. For information on ordering an E-Course, please visit here

Resilient Storage Networks: Designing Flexible Scalable Data Infrastructures
Author: Greg Schulz
Publisher: Elsevier Science Technology
ISBN: 1555583113

Data Classification and Storage Optimization (pdf) (paper by Alex Adamopoulos)


 

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