Description
The Enterprise Big Data Analyst Official Sample Paper is designed to help candidates to prepare for the Enterprise Big Data Analyst examination with the topics, exam structure and types of exam questions.
The Enterprise Big Data Analyst (EBDA) course discusses advanced techniques for the analysis of Big Data. In this course, you will learn how you can obtain value from data through statistical and machine learning techniques and how this analysis should be presented in a reproductible manner.
The sample paper provides a mock exam for practice and an overview of the Enterprise Big Data Analyst examination and consolidates your answering skills for the EBDA examination. This exam format is objective testing based on a case study scenario, each paper contains 4 questions of 20 marks each, covering the core concepts of Enterprise Big Data Analyst Certification.
Candidates can review the questions and answers by domain, allowing for concentrated study in particular areas. Each question includes a brief explanation for each answer choice, allowing the learner to fully understand the rationale behind each correct and incorrect answer choice.
The Big Data Framework provides a holistic and compressive approach for enterprises that aim to leverage the value of data in their organizations. The framework covers all the essential aspects of Big Data that are necessary to understand and analyze massive quantities of data.
Overview and Exam Format of the Enterprise Big Data Analyst Exam
- Objective testing based on a case study scenario
- 4 questions of 20 marks each
- 53 marks (65%) required to pass
- 2.5 hours duration
- Open book – The Enterprise Big Data Analyst’s Guide may be used in the exam
