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IBM M2090-743 Exam Actual Questions
IBM Big Data and Analytics Sales Mastery v2

M2090-743 PDF Dumps
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  • M2090-743 Exam Questions
  • Questions: 20 Q&A
  • File Format: PDF Print-able
  • Testing Engine Software:Included
  • Last Updated: 09 May, 2025
  • Free Update: 60 Days
  • Success Rate: 97%
  • Price: one time payment 50% Off   $68

Passing the IBM M2090-743 (IBM Big Data and Analytics Sales Mastery v2)

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M2090-743 Exam Objectives & Details

Exam Objectives:

The IBM M2090-743 IBM Big Data and Analytics Sales Mastery v2 exam is designed to test a candidate's knowledge of IBM's big data and analytics solutions. The exam objectives include:

  • Understanding of the big data market and IBM's big data and analytics solutions
  • Ability to identify customer needs and create value propositions
  • Knowledge of IBM's big data and analytics offerings and their features and benefits
  • Ability to differentiate IBM's offerings from those of competitors
  • Understanding of the sales process and how to close deals
  • Knowledge of IBM's partner ecosystem and how to work with partners to close deals

Exam Details:

The IBM M2090-743 exam is a proctored exam that can be taken either at a testing center or online. The exam consists of 44 multiple-choice questions that must be completed within 90 minutes. The passing score for the exam is 75%. The cost of the exam varies by location and delivery method. Candidates can expect to pay between $100 and $200 for the exam.

The exam is delivered through Pearson VUE, which is IBM's authorized testing partner. Candidates must create an account with Pearson VUE to register for the exam. On the day of the exam, candidates must present two forms of identification, one of which must be a government-issued photo ID.

Related Books:

  • Big Data and Analytics: A Conceptual Overview by Pradeep Kumar Mishra
  • Big Data Analytics: Turning Big Data into Big Money by Frank Kane
  • Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos et al.
  • Big Data Analytics: A Practical Guide for Managers by Kim H. Pries and Robert Dunnigan

While not required, reading one or more of these books can help a candidate prepare for the M2090-743 exam. The books cover a range of topics related to big data and analytics, including Hadoop, data warehousing, and machine learning. They also provide practical advice for implementing big data solutions and using data analytics to drive business results.

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Section Name Total Score Gained Score
Network Perimeter Protection 16 11
Incident Response 10 8
Enterprise Virtual, Cloud, and Wireless Network Protection 12 8
Application and Data Protection 13 10
Network Défense Management 10 9
Endpoint Protection 15 12
Incident D

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