Preparing for the Enterprise Big Data Professional exam? This guide breaks down everything you need to know to pass the Enterprise Big Data Professional certification exam, from exam structure to proven study strategies.

What Is the EBDP® Certification?

The Enterprise Big Data Professional (EBDP®) is an entry-level certification within the DASCIN® Enterprise Big Data Framework, administered by APMG International. It is designed for anyone who wants to establish a strong, recognized foundation in Big Data concepts, frameworks, and practices, without needing any programming or technical implementation skills.

There are no mandatory prerequisites to enroll, making it one of the most accessible Big Data qualifications on the market. The certification is also a recommended stepping stone toward the more advanced Enterprise Big Data Analyst (EBDA®) and Enterprise Big Data Engineer (EBDE®) qualifications.

💡 Good to know: The EBDP® certification does not expire. Once earned, it remains valid indefinitely — no recertification required.

Exam At a Glance

Before diving into study content, understand exactly what you’re walking into. Here are the official exam parameters:

Topic Details
Format Multiple-choice objective test (closed book)
Total Questions 60 questions, each worth 1 mark
Duration 90 minutes (115 minutes if English is not your native language)
Pass Mark 39/60 (65%) — standard pass
Elevated Pass Mark 45/60 (75%) — required for trainers
Negative Marking None — unanswered questions score zero
Complexity Level Bloom’s Taxonomy Levels 1 (Recall) and 2 (Understanding)
Materials Allowed None — the EBDP Guide is for study only, not allowed during the exam
Delivery Online (proctored) or paper-based via Accredited Training Organizations
Scheduling Via APMG International; vouchers purchasable from DASCIN® online store

Understanding Bloom’s Taxonomy Levels

The EBDP exam applies Bloom’s Taxonomy to structure its assessments. Knowing which levels are tested tells you how to study, not just what to study.

Level 1 (Recall) questions require you to remember specific facts — names, definitions, sequences. For example: knowing the four Vs of Big Data or the five steps of a Big Data strategy.

Level 2 (Understanding) questions require you to interpret and explain concepts — not just name them. You need to understand why a clustering algorithm behaves differently from a classification algorithm, or how Hadoop handles hardware failures.

💡 Study tip: For every concept you memorize, ask yourself, “Can I explain why or how this works in plain language?” If yes, you’re at Bloom’s Level 2 — and you’re exam-ready on that topic.

Know Your Question Types

All 60 questions are multiple-choice with four answer options. However, they come in four distinct formats — and knowing each format changes your approach.

Classic

A direct question followed by four answer options. Most common type. Read all four options before choosing — distractors are carefully designed to look plausible.

Negative

The question asks which statement does NOT apply or is incorrect. Watch for “NOT,” “EXCEPT,” and “LEAST” in bold. Three of the four options will be correct — you select the odd one out.

Missing Word

A sentence with a blank [?] that you must complete. Focus on the surrounding context — the correct answer must make the whole sentence definitionally accurate.

List

A numbered list of statements is given. You choose which combination (e.g., “1, 2, 4” or “2, 3 only”) is correct. These reward thorough knowledge — you can’t afford to be vague on any item in the list.

SAMPLE

Classic Question (Syllabus Area CO)

Which is one of the four characteristics of Big Data?

  • Validity

  • Volume

  • Value

  • Variability

Correct Answer: B — Volume. The four Vs are Volume, Velocity, Variety, and Veracity. “Value” is an outcome of analytics, not a defining characteristic. “Validity” and “Variability” are common distractors not part of the official framework.

The 8 Syllabus Areas — What You Need to Know

The exam draws from eight syllabus areas, each worth a defined number of marks. Study them all, but pay special attention to areas with the highest learning objective counts — particularly Algorithms, Processes, and Architecture.

  • Big Data Concepts & Key Drivers

    Definition of Big Data, the four Vs, data types (structured/unstructured/semi-structured), metadata, analytics types, machine learning classes, and Hadoop’s role in distributed processing.

  • The Big Data Framework

    The six capabilities of the Enterprise Big Data Framework and the five-level Big Data Maturity Model — from Analytically Impaired through to Data Driven Enterprise.

  • Big Data Strategy

    The five-step strategy formulation process, six business drivers, the Prioritization Matrix, and activities within each strategic step — including defining objectives, current state assessment, and change management.

  • Big Data Architecture

    NIST Reference Architecture (5 roles, 2 dimensions), Hadoop architecture components (NameNode, MapReduce, HDFS, Job Tracker, Worker Node), storage types (DAS/NAS/SAN), and real-time vs. offline analysis.

  • Big Data Algorithms

    Descriptive statistics, standardization, correlation vs. regression, classification vs. clustering, outlier detection, distribution shapes (normal, skewed, probability), and data visualization techniques (box plots, scatter plots, histograms, etc.).

  • Big Data Processes

    The three Big Data processes: data analysis (8 steps), data governance (4 steps), and data management (4 activities). Includes six business objective types: descriptive, exploratory, inferential, predictive, causal, and mechanistic.

  • Big Data Functions

    The five pillars of the Big Data Center of Excellence (Team, Lab, Proof of Concepts, Agile Methodology, Charging Models), key team roles (Analyst, Scientist, Engineer), and six organizational success factors.

  • Artificial Intelligence

    Turing Test, cognitive analytics (rational agents, personalized decision-making), the four AI capabilities (NLP, knowledge representation, automated reasoning, machine learning), and Deep Learning fundamentals.

A 5-Step Study Strategy for Big Data Exam Preparation

Use this structured approach to maximize your preparation efficiency within a realistic timeframe of 2–4 weeks.

  1. Read the Enterprise Big Data Professional Guide Cover to Cover: The EBDP Guide is your single official study resource. Every exam question is traceable to a specific section of this guide. Read it in full at least once before anything else. Pay attention to definitions, numbered lists, and any named frameworks or models — these are prime exam material.
  2. Map the Syllabus to the Guide: The official syllabus includes a “Book Reference” column for every learning outcome. Use this as your revision checklist. For each learning outcome, locate the guide section, read it, then close the book and summarize the key points in your own words — this tests Bloom’s Level 2 understanding.
  3. Memorize Key Lists and Sequences: The exam frequently tests recall of structured lists: the four Vs, the five strategy steps, the six Big Data Framework capabilities, the eight data analysis steps, the five maturity levels, the four AI capabilities. Create flashcards or a one-page cheat sheet. Sequences (which step comes first?) are especially common.
  4. Practice All 60 Sample Paper Questions: The official sample paper contains 60 questions with detailed rationales for every answer — including why each wrong option is incorrect. Don’t just check the answers; read every rationale. Wrong-answer explanations reveal what the exam is actually testing and help you avoid common traps.
  5. Apply the “Eliminate and Verify” Method on Exam Day: For each question: (1) eliminate clearly wrong answers first, (2) verify your remaining options against the precise wording of the question, (3) for list-type questions, evaluate each numbered item independently before selecting a combination. Never skip a question — guess if you must, since there’s no negative marking.
Exam Day Tips
Pro Tips to Maximize Your Score
  • Watch for Superlatives: Questions with “MOST,” “BEST,” or “PRIMARY” require you to rank answers. Often two options seem valid — pick the one that most directly answers the question as worded.

  • Flag Negative Questions: Negative questions (NOT, EXCEPT, LEAST) trip up rushed candidates. Underline the negative word and consciously remind yourself you’re looking for the incorrect statement.

  • Know Algorithms by Comparison: Correlation, regression, classification, and clustering are often tested as pairs. Know how they differ: correlation finds relationships; regression predicts; classification labels; clustering groups.

  • Understand List Items Individually: For list questions, each numbered statement is a mini true/false question. Evaluate every item independently — a single incorrect item disqualifies any option containing it.

  • Manage Your Time: 90 minutes ÷ 60 questions = 1.5 minutes per question. Flag uncertain questions and return to them. Don’t spend more than 2 minutes on any single question on your first pass.

  • Request Extra Time If Eligible: Non-native English speakers may apply for 25% extra time (115 minutes total). Apply for this accommodation when scheduling through APMG International — it can make a real difference.

Certification Details & Next Steps

Once you pass the EBDP exam, here’s what to expect:

Advanced Certification Pathways: The EBDP is the entry point of the Enterprise Big Data Framework. After passing, you can pursue:

While EBDP is not a mandatory prerequisite for either, the conceptual grounding it provides is strongly recommended before advancing.

Appeals Process: If you believe there was an error in your exam administration (procedural issues, personal or medical circumstances, or bias), you may appeal to APMG International within 6 months of the exam date. Note that disagreement with multiple-choice answers does not qualify as grounds for appeal.

Enterprise Big Data Professional

Ready to Earn Your EBDP® Certification?

DASCIN Enterprise Big Data Professional Badge | EBDP Badge

Schedule your exam through APMG International and take the first step toward becoming a credentialed Big Data professional. Purchase your exam voucher from the DASCIN® online store to get started.

  • APMG International via Credly

  • No Expiration Date

  • Shareable on LinkedIn & Resume

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