ABDE study guide · 2026

The 8 ABDE domains, explained

8 domains and 46 official practical applications. Data Ingestion & Transformation carries the most weight at 25%. Each guide explains what the domain covers, how its questions are framed and where candidates lose marks.

Questions
75
Time
100 minutes, online with live remote proctoring
Passing score
Not fixed; set psychometrically by DASCA (DASCA states around 65% is generally sufficient)
Outline
DASCA ABDE exam coverage, eight-domain DASCA-EKF structure (dasca.org, current as of October 2026; no version number or effective date published)

Exam blueprint

Bar widths follow the official weights. Weight ranges are drawn at their midpoint.

  1. 1 25% Domain 1: Data Ingestion & Transformation, 25%
  2. 2 20% Domain 2: Data Storage & Management, 20%
  3. 3 15% Domain 3: Data Pipeline Orchestration & Monitoring, 15%
  4. 4 15% Domain 4: Data Security & Governance, 15%
  5. 5 10% Domain 5: Data Modeling & Architecture, 10%
  6. 6 5% Domain 6: Streaming Data Processing, 5%
  7. 7 5% Domain 7: AI/ML Integration Overview, 5%
  8. 8 5% Domain 8: Generative AI & LLM Operations Overview, 5%
  1. 1 Data Ingestion & Transformation
  2. 2 Data Storage & Management
  3. 3 Data Pipeline Orchestration & Monitoring
  4. 4 Data Security & Governance
  5. 5 Data Modeling & Architecture
  6. 6 Streaming Data Processing
  7. 7 AI/ML Integration Overview
  8. 8 Generative AI & LLM Operations Overview

All 8 domains

46 official practical applications 70–100 hrs suggested study

  1. Domain 01 25%

    Data Ingestion & Transformation

    The heaviest ABDE domain covers how raw data from databases, APIs and files becomes trustworthy, analysis-ready tables. Get ingestion choices right here and most storage, orchestration and governance questions become easier to reason through.

    Inside this domain

    • Implementing ETL/ELT pipelines
    • Data cleansing and normalization
    • Handling batch and real-time acquisition
    • Managing schema evolution
    • and 1 more practical applications

    Watch for Real-time by default

    Practical applications
    5
    Questions est.
    ~19
    Study time est.
    15–25 hrs
  2. Domain 02 20%

    Data Storage & Management

    Storage design decides what every query costs and how fast it runs. This 20% domain tests warehouse and lake architecture, partitioning, file formats, retention tiers and the tuning choices that keep big tables fast and affordable.

    Inside this domain

    • Creating data warehouse/lake architectures
    • Implementing storage optimization strategies
    • Setting up partitioning and indexing
    • Managing data lifecycle and retention policies
    • and 2 more practical applications

    Watch for Most selective partition key

    Practical applications
    6
    Questions est.
    ~15
    Study time est.
    15–20 hrs
  3. Domain 03 15%

    Data Pipeline Orchestration & Monitoring

    Pipelines that run by hand eventually fail silently. This 15% domain tests how you schedule, chain, observe and recover data workflows with Apache Airflow so that data arrives complete and on time.

    Inside this domain

    • Workflow scheduling and triggering
    • Complex dependency management
    • Comprehensive monitoring and alerting
    • Implementing error handling and recovery mechanisms
    • and 2 more practical applications

    Watch for Schedule it later

    Practical applications
    6
    Questions est.
    ~11
    Study time est.
    10–15 hrs
  4. Domain 04 15%

    Data Security & Governance

    Secure, trustworthy data is what makes a platform usable. This 15% domain tests access control, encryption, regulatory compliance, data quality validation, metadata catalogs and lineage, the controls that let people rely on what pipelines deliver.

    Inside this domain

    • Implementing access control and authentication systems
    • Configuring data encryption
    • Ensuring regulatory compliance
    • Establishing data quality validation frameworks
    • and 2 more practical applications

    Watch for Encryption fixes everything

    Practical applications
    6
    Questions est.
    ~11
    Study time est.
    10–15 hrs
  5. Domain 05 10%

    Data Modeling & Architecture

    Good models make data easy to query and hard to misuse. This 10% domain tests dimensional modeling, logical and physical design, system architecture, technology selection, data mesh and fabric, and how schemas evolve without breaking consumers.

    Inside this domain

    • Creating dimensional models
    • Developing logical and physical data models
    • Designing overall system architecture
    • Making technology selection decisions
    • and 2 more practical applications

    Watch for Normalize everything

    Practical applications
    6
    Questions est.
    ~8
    Study time est.
    5–10 hrs
  6. Domain 06 5%

    Streaming Data Processing

    Some decisions cannot wait for a nightly batch. This 5% domain tests how streaming pipelines capture, process and deliver continuous data with Apache Kafka and stream processors, and how they stay correct when events arrive late, twice or out of order.

    Inside this domain

    • Implementing streaming pipelines
    • Stream processing frameworks
    • Message brokers
    • Building resilient real-time data flows

    Watch for More consumers, more speed

    Practical applications
    4
    Questions est.
    ~4
    Study time est.
    ~5 hrs
  7. Domain 07 5%

    AI/ML Integration Overview

    Models are only as reliable as the data feeding them. This 5% domain tests the data engineer's side of machine learning: feature stores, ML pipeline integration, deployment data, training and inference datasets, and the feeds that let teams monitor models in production.

    Inside this domain

    • Implementing feature stores
    • Integrating with ML pipelines
    • Creating data infrastructure for model deployment
    • Formatting data for AI-specific needs
    • and 2 more practical applications

    Watch for Blame the algorithm

    Practical applications
    6
    Questions est.
    ~4
    Study time est.
    ~5 hrs
  8. Domain 08 5%

    Generative AI & LLM Operations Overview

    LLM applications are only as good as the data they retrieve. This 5% domain tests the data systems behind generative AI: vector databases, embedding pipelines, retrieval augmented generation, fine-tuning data, prompt management, semantic search and token costs.

    Inside this domain

    • Implementing vector database solutions
    • Creating embedding generation pipelines
    • Building RAG (Retrieval Augmented Generation) systems
    • Preparing data for LLM fine-tuning
    • and 3 more practical applications

    Watch for Fine-tune for fresh facts

    Practical applications
    7
    Questions est.
    ~4
    Study time est.
    ~5 hrs

Try one

Practice questionDomain 1: Data Ingestion & Transformation

A team loads a 300-million-row customer table nightly with a full reload. The source database team reports slowdowns, and the business now requires that customers deleted in the source also disappear from the warehouse within one day. Which approach BEST meets both needs?

Choose one answer

One trap from every domain

The answer that looks right, and the clue that gives it away.

  • Domain 1

    Real-time by default

    Clue The scenario gives a freshness need in hours or names a daily consumer such as a morning dashboard.

  • Domain 2

    Most selective partition key

    Clue The candidate column has very high cardinality, or the scenario mentions metastore or NameNode strain.

  • Domain 3

    Schedule it later

    Clue An upstream arrival time that varies from night to night.

  • Domain 4

    Encryption fixes everything

    Clue The threat is a legitimate user seeing too much, not stolen storage or network interception.

  • Domain 5

    Normalize everything

    Clue The consumers are analysts and dashboards, not a transactional application.

  • Domain 6

    More consumers, more speed

    Clue The consumer count already equals or exceeds the partition count.

  • Domain 7

    Blame the algorithm

    Clue Validation scores look unusually high, or the gap appeared immediately after deployment.

  • Domain 8

    Fine-tune for fresh facts

    Clue Content that changes frequently or answers that must cite sources.

Other Data & Analytics certifications

Study guides for exams that overlap with ABDE.

Practise what you read

ABDE domains: common questions

How many domains are in the ABDE exam?

ABDE has 8 domains with 46 official practical applications between them: Data Ingestion & Transformation, Data Storage & Management, Data Pipeline Orchestration & Monitoring, Data Security & Governance, Data Modeling & Architecture, Streaming Data Processing, AI/ML Integration Overview and Generative AI & LLM Operations Overview.

Which ABDE domain carries the most weight?

Data Ingestion & Transformation is the heaviest at 25%, followed by Data Storage & Management (20%). The lightest is Generative AI & LLM Operations Overview (5%). Weights come from DASCA's official outline.

What is the ABDE exam format?

Questions: 75. Time allowed: 100 minutes, online with live remote proctoring. Passing score: Not fixed; set psychometrically by DASCA (DASCA states around 65% is generally sufficient).

How long should I study for ABDE?

Our planning estimate is 70–100 hrs across all domains, split by weight. It is an editorial estimate, not an official figure, so adjust it to your experience and to how you score on practice questions.

Where should I start?

Start with Data Ingestion & Transformation, because it carries the most marks, then work down by weight. Use the checklist on each domain page to confirm you can do what the domain asks before moving on.

Which outline is this guide based on?

This guide follows DASCA ABDE exam coverage, eight-domain DASCA-EKF structure (dasca.org, current as of October 2026; no version number or effective date published), published by DASCA. It was last reviewed in October 2026.

Domain names, weights and practical applications come from DASCA's official outline (DASCA ABDE exam coverage, eight-domain DASCA-EKF structure (dasca.org, current as of October 2026; no version number or effective date published)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.