DatabricksDBX-DEAssociate

Databricks Certified Data Engineer Associate

Independent, adaptive preparation aligned to the published DBX-DE exam blueprint. Learn to explain and apply the technology, not just memorize enough to pass.

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Take the official exam through Databricks or its authorized delivery partner. SkillsTech Certified does not administer the exam or issue the Databricks credential.

Track at a glance

Exam code
DBX-DE
Version
2026-05
Level
Associate
Blueprint domains
7
Lessons
8
Original practice questions
271
Flashcards
147
Last reviewed
2026-07-14
Next scheduled review
2026-10-14
Blueprint facts are re-verified against the official exam guide on the review schedule above.
Exam blueprint

Domains & weights

Every lesson and question is mapped to a domain and objective below, and every attempt records the exam version it was answered under.

Domain 1: Databricks Data Intelligence Platform

6% of exam

Published weight 6%. Core components of the Databricks Data Intelligence Platform (architecture, Delta Lake, Unity Catalog) and compute services (characteristics, limitations, cost models, selecting the right option).

  • Understand the Databricks Data Intelligence Platform (architecture, Delta Lake, Unity Catalog, compute)

Domain 2: Data Ingestion and Loading

21% of exam

Published weight 21%. Ingestion patterns (batch, streaming, incremental), COPY INTO, Auto Loader (schema enforcement/evolution), Lakeflow Connect, and prioritizing ingestion methods into Unity-Catalog-governed tables.

  • Ingest and load data (batch/streaming/incremental, COPY INTO, Auto Loader, Lakeflow Connect)

Domain 3: Data Transformation and Modeling

22% of exam

Published weight 22%. Cleaning and transforming with PySpark/SQL (joins, column/row manipulation, deduplication, aggregation), the medallion (bronze/silver/gold) architecture, Gold objects (materialized views, streaming tables), Spark tuning, and data quality.

  • Transform data with PySpark/SQL (cleaning, joins, dedup, aggregation, bronze/silver/gold)
  • Build Gold objects and apply Spark tuning and data-quality checks

Domain 4: Working with Lakeflow Jobs

16% of exam

Published weight 16%. Orchestrating pipelines with Lakeflow Jobs: control flows (retries, branching, looping), task types and DAG dependencies, schedules and trigger types (scheduled, file arrival, table update), and time-based vs data-driven triggers.

  • Orchestrate pipelines with Lakeflow Jobs (control flows, task types, schedules, triggers)

Domain 5: Implementing CI/CD

10% of exam

Published weight 10%. Databricks Git Folders (branches, commits, PRs), Automation Bundles / Databricks Asset Bundles (environment-specific config, promotion across dev/test/prod), and the Databricks CLI for automated CI/CD.

  • Implement CI/CD (Git Folders, Asset/Automation Bundles, Databricks CLI, dev/test/prod)

Domain 6: Troubleshooting, Monitoring, and Optimization

11% of exam

Published weight 10%. Identifying job performance trends with Lakeflow Jobs run history, monitoring pipeline health via DAG task graphs and job statuses, and optimizing performance and failure rates.

  • Troubleshoot, monitor, and optimize pipelines (run history, DAG health, performance)

Domain 7: Data Governance and Security

14% of exam

Approximately 15%. Governing and securing data within the Databricks Platform: Unity Catalog governance, permissions/grants, data lineage, and data-quality/security controls.

  • Apply data governance and security (Unity Catalog governance, permissions, lineage, quality)

Source & provenance

  • Databricks Certified Data Engineer Associate exam guide (May 2026): official source (retrieved 2026-07-14)

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