Pass the IBM C2090-102 Exam with Confidence
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Exam Details:
The IBM C2090-102 exam, also known as the IBM Big Data Architect exam, is a certification exam that tests a candidate's knowledge of big data architecture and related technologies. The exam consists of 59 multiple-choice questions and candidates have 90 minutes to complete the exam. The cost of the exam varies by region and can be found on the IBM website. The passing mark for the exam is 62%, and the exam is available in English and Japanese. The exam can be taken at a testing center or online via remote proctoring.
Exam Objectives:
The IBM C2090-102 exam covers the following topics:
- Big data architecture and technologies
- Big data security
- Big data processing and analysis
- Big data storage and retrieval
- Big data governance and metadata management
- Big data integration and migration
- Big data solutions and use cases
Each of these topics has a set of subtopics that are covered in the exam. Candidates are expected to have a deep understanding of big data concepts and technologies, as well as the ability to apply these concepts to real-world scenarios.
Related Books:
There are a variety of books and resources that can help a candidate prepare for the IBM C2090-102 exam. These include:
- "Big Data: Principles and Best Practices of Scalable Realtime Data Systems" by Nathan Marz and James Warren
- "Big Data for Dummies" by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman
- "Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking" by Foster Provost and Tom Fawcett
- "Data Architecture: A Primer for the Data Scientist" by W.H. Inmon
- "Hadoop: The Definitive Guide" by Tom White
These resources cover a range of big data topics and provide in-depth knowledge and practical examples for the candidate to apply their learning to the exam.
With proper preparation and study, a candidate can pass the IBM C2090-102 exam and become an IBM Certified Big Data Architect, showcasing their expertise in the field and opening up opportunities for career growth.
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