The 000-450 – Midrange Storage Sales V1 exam is the test that you need to pass if you wish to gain the IBM Certified Specialist – Midrange Storage Sales V1 certification. If you successfully pass the 000-450 exam, your primary role as a specialist will be to use the tools and resources necessary to sell storage solutions that are appropriate for individual customer needs and requirements.
Since you will be dealing with customers on an ongoing basis, the 000-450 exam is designed to make sure that you have up to date knowledge on a variety of IBM products. These products include the Storwize V7000 Unified, LTO-5 Tape Products, SAN Volume Controller, FlashCopy Manager, Tivoli Storage Manager, Midrange Tape Systems, ProtecTIER Appliance, System Storage DS5000 and DS3500, and Real-time Compression Appliance. Familiarity with Techline, Partnerline, eConfig, and PartnerWorld are also recommended.
Additionally, to be a successful candidate, you should be able to gather customer requirements and understand how to determine product positioning of IBM storage products. You should be able to communicate the features and benefits of IBM storage products to customers so that they will be able to see how IBM products can solve their problems.
Before taking the 000-450 exam, IBM recommends that you have at least twelve months of work experience. You may also find that passing the exam is easier if you use an exam preparation service, such as TestsLive, to review the concepts found on the exam.
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Pricing and Profitability Management: A Practical Guide for Business Leaders [Hardcover]
Julie Meehan, Mike Simonetto, Larry Montan and Chris Goodin
Wiley; 1 edition (July 12, 2011)
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Forecasting, Structural Time Series Models and the Kalman Filter Free PDF Download. Andrew C. Harvey offers a synthesis of ideas and materials that ordinarily seem separately in time series and econometrics literature, presenting a complete assessment of both theoretical and utilized concepts.
Maybe the most novel characteristic of the book is its use of Kalman filtering together with econometric and time collection methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical remedy of structural time sequence models. This technique was initially developed in management engineering however is becoming more and more vital in economics and operations research.
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Forecasting, Structural Time Series Models and the Kalman Filter
Andrew C. Harvey
Cambridge University Press (April 26, 1991)
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