Databricks Databricks-Certified-Data-Engineer-Associate Exam Information and Actual Questions

  • Exam Code/Number: Databricks-Certified-Data-Engineer-Associate
  • Exam Name/Title: Databricks Certified Data Engineer Associate Exam
  • Certification Provider: Databricks
  • Corresponding Certification: Databricks Certification
  • Exam Questions: 322
  • Updated On: Sep 18, 2026

Databricks-Certified-Data-Engineer-Associate
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Databricks-Certified-Data-Engineer-Associate Exam
Databricks Certified Data Engineer Associate Exam

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Data Engineer Associate Exam
Exam Number:DE-A
Exam Price:USD 200
Certificate Validity Period:2 years
Related Certifications:Databricks Certified Data Engineer Professional
Real Exam Qty:45 scored multiple-choice questions
Exam Duration:90 minutes
Passing Score:Approximately ~70% (not officially fixed/publicly guaranteed)
Exam Format:Proctored online or test center, Scenario-based questions, Multiple-choice
Available Languages:English
Recommended Training:Databricks Data Engineering Learning Path (Databricks Academy)
Official Data Engineering with Databricks Course
Exam Registration:Databricks Certification Portal
Sample Questions:Databricks Databricks-Certified-Data-Engineer-Associate Sample Questions
Exam Way:Online proctored exam or test center
Pre Condition:No formal prerequisites required; recommended ~6 months hands-on experience with Databricks, Spark SQL, and PySpark.
Official Syllabus URL:https://www.databricks.com/learn/certification/data-engineer-associate

Databricks Certified Data Engineer Associate Exam is ideal for data engineers, data analysts, data scientists, and other professionals who are interested in building and maintaining data pipelines using Databricks. By achieving this certification, candidates can demonstrate their expertise in working with Databricks and their ability to build and maintain scalable data pipelines. Databricks Certified Data Engineer Associate Exam certification can also help professionals advance their careers and open up new job opportunities in the field of data engineering.

Databricks Certified Data Engineer Associate certification exam is a valuable credential for data engineers who work with the Databricks platform. It demonstrates their mastery of data engineering concepts and their practical application using Databricks. Candidates who pass the exam receive a certificate that can help them advance their careers and gain recognition for their expertise.

Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Databricks Lakehouse Platform: This topic covers the relationship between the data lakehouse and the data warehouse, the improvement in data quality, comparing and contrasting silver and gold tables, elements of the Databricks Platform Architecture, and differentiating between all-purpose clusters and jobs clusters. Moreover, it identifies how cluster software is versioned, how clusters can be filtered, how to use multiple languages, how to run one notebook, how notebooks can be shared, Git operations, and limitations in Databricks Notebooks. Lastly, the topic describes how clusters are terminated, how to use multiple languages, and how Databricks Repos enables CI
  • CD workflows.
Topic 2
  • Production Pipelines: It focuses on identifying the advantages of using multiple tasks in Jobs, a suitable scenario where predecessor task should be set up, CRON as an opportunity for scheduling opportunity, and how an alert can be sent via email. The topic also discusses setting up a predecessor task in Jobs, reviewing a task's execution history, and debugging a failed task. Lastly, it delves into setting up a retry policy in case of failure and creating an alert in the case of a failed task.
Topic 3
  • Incremental Data Processing: In this topic questions about identifying Delta Lake, benefits of ACID transactions, a scenario to use an external table, location of a table, the benefits of Zordering, the kind of files, CTAS as a solution, the impact of ON VIOLATION DROP ROW and ON VIOLATION FAIL UPDATE, and the necessary component to create a new DLT pipeline. Moreover, the topic also discusses directory structure of Delta Lake files, generated column, adding a table comment, and the benefits of the MERGE command.
Topic 4
  • ELT with Apache Spark: It focuses on extracting data, identifying the prefix, creating a view, duplicating rows, creating a new table, utilizing the dot, parsing JSON, and defining a SQL UDF. Moreover, the topic delves into describing the security model, identifying the location of a function, and identifying the PIVOT.
Topic 5
  • Data Governance: It identifies one of the four areas of data governance, Unity Catalog securables, and the cluster security modes. It also discusses how to create a UC-enabled all-purpose cluster and a DBSQL warehouse. The topic explains how to implement data object access control, create a DBSQL warehouse, and e a UC-enabled all-purpose cluster.

Reference: https://www.databricks.com/learn/certification/data-engineer-associate



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