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Practice Exams: Databricks Certified Data Engineer Associate
Rating: 4.5 out of 5(8,823 ratings)
52,091 students

Practice Exams: Databricks Certified Data Engineer Associate

NEW: V4 May 2026 | 4 Practice Tests with Detailed Explanations for Databricks Data Engineer Associate certification exam
Last updated 5/2026
English

What you'll learn

  • Practice Questions on Databricks Lakehouse Platform and its tools
  • Practice Questions on Building ETL pipelines using Apache Spark SQL and Python
  • Practice Questions on Processing data incrementally in batch and streaming mode
  • Practice Questions on Orchestrating production pipelines
  • Practice Questions on Data Governance in Databricks

Included in This Course

220 questions
  • Practice Exam 1 (New Version: May 4th, 2026)55 questions
  • Practice Exam 2 (New Version: May 4th, 2026)55 questions
  • Practice Exam 3 (New Version: May 4th, 2026)55 questions
  • Practice Exam 4 (New Version: May 4th, 2026)55 questions

Description

If you looking for practice tests for Databricks Data Engineer Associate certification exam, you have come to the right place! Four practice tests with detailed explanations are available to prepare you before appearing for the actual exam


Questions

There are 55 multiple-choice questions on each practice exam. The questions will be distributed by the following high-level topics:

  1. Databricks Intelligence Platform

  2. Data Ingestion and Loading

  3. Data Transformation and Modeling

  4. Working with Lakeflow Jobs

  5. Implementing CI/CD

  6. Troubleshooting, Monitoring, and Optimization

  7. Governance and Security


Duration

Testers will have 90 minutes to complete each practice exam.


The practice tests cover the following exam topics with detailed explanations:

  • Understand how to use and the benefits of using the Databricks Intelligence Platform and its tools, including:

    • Data Lakehouse (architecture, descriptions, benefits)

    • Data Science and Engineering workspace (clusters, notebooks, data storage)

    • Delta Lake (general concepts, table management and manipulation, optimizations)

  • Build ETL pipelines using Apache Spark SQL and Python, including:

    • Relational entities (databases, tables, views)

    • ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)

    • Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)

  • Incrementally process data, including:

    • Structured Streaming (general concepts, triggers, watermarks)

    • Auto Loader (streaming reads)

    • Multi-hop Architecture (bronze-silver-gold, streaming applications)

    • Delta Live Tables (benefits and features)

  • Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:

    • Jobs (scheduling, task orchestration, UI)

    • Dashboards (endpoints, scheduling, alerting, refreshing)

  • Understand and follow best security practices, including:

    • Entity Permissions (data objects Privileges)


After passing these practice exams, you will be ready to take the certification exam.

I wish you all the best in your exam!

Who this course is for:

  • Anyone aiming to practice and prepare for the Databricks Data Engineer Associate certification exam
  • Anyone aiming to pass the Databricks Data Engineer Associate certification exam
  • Data engineers looking to take their exam preparation to the next level
  • Learners looking to assess their knowledge on Databricks Lakehouse Platform