Exam ID HP2-N44
Exam type Web-Based online exam used in certifications
Exam duration 1 hour 15 minutes
Exam length 45 questions
Passing score 70%
Delivery languages English
Related Certifications
Supporting courses These recommended courses help you prepare for the exam:

Register for this Exam

You will need an HP Learner ID and a Pearson VUE login and password.

During the exam, you can make specific comments about the exam and items. HP welcomes these comments as part of our continuous improvement process.

Exam description

This exam tests your skills on selling data warehousing solutions, analytical databases, or server hardware solutions.

Who should take this exam?

This exam is for sales professionals who position, recommend, and sell the HP Vertica Enterprise Edition Platform.
Big Data domain experience is preferred.
Exams are based on an assumed level of industry-standard knowledge that may be gained from training, experience in the field, or other pre-requisite events.

Exam contents

This exam has 45 questions. Here are types of questions to expect:
  • Multiple choice (multiple responses)
  • Multiple choice (single response)

Tips for taking this exam

You are not required to take the recommended, supported courses; and completion of training does not guarantee that you will pass the exam. HP strongly recommends a combination of training, thorough review of courseware and additional study references, and sufficient on the job experience prior to taking the exam.


This exam validates that you can successfully perform the following:

Explain HP Vertica's value proposition and product messaging in the Big Data market.

  • Describe the different types of data stored by Big Data solutions.
  • Describe Vertica's value proposition and key differentiators.


Demonstrate awareness of Vertica's competitors in the Big Data market.

  • Differentiate Vertica from legacy data warehousing and analytics technologies.
  • Differentiate Vertica from other Big Data solutions.
  • Describe Vertica's positioning with respect to Hadoop.


Understand Vertica buyers and decision makers.

  • Describe how to spot a Vertica opportunity.
  • Explain how to position Vertica with different decision makers in an opportunity.


HP Vertica Use Cases

  • Identify typical business applications that are appropriate candidates for Vertica implementation.


Big Data Market Glossary

  • Describe relevant terminology and concepts used in the Big Data market.