Everyone studies differently, so ActualCollection offers the Databricks Certified Data Engineer Associate prep material in three formats: a printable PDF, a desktop test engine for Windows, and an online test engine that runs in any browser. All three carry the same 322 practice questions.
Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Associate |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Exam Price: | $200 USD |
| Available Languages: | English |
| Exam Format: | Multiple Select, Multiple Choice |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Certificate Validity Period: | 2 years |
| Sample Questions: |  |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | Recommended: 6+ months of experience with Databricks and Apache Spark |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-associate |
Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Lakehouse Platform Concepts | 10-15% | - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts - Understand the Lakehouse architecture and its benefits |
| Topic 2: Python for Data Engineering | 10-15% | - Use PySpark for data processing - Implement user-defined functions (UDFs) - Work with Spark APIs in Python |
| Topic 3: Spark SQL and DataFrames | 15-20% | - Aggregate and group data - Join and union DataFrames - Write and execute Spark SQL queries - Handle null values and data quality |
| Topic 4: Delta Lake Fundamentals | 20-25% | - Create and manage Delta tables - Explain Delta Lake features and benefits - Write to and read from Delta tables - Understand ACID transactions and time travel |
| Topic 5: Data Pipeline Architecture | 15-20% | - Understand ELT vs ETL patterns - Monitor and optimize pipeline performance - Design data pipelines for batch and streaming - Implement incremental data processing |
| Topic 6: Apache Spark Data Processing Fundamentals | 20-25% | - Work with structured data types (arrays, maps, structs) - Apply transformations and actions on DataFrames - Use Spark SQL for data processing - Create and use Spark DataFrames |
Databricks Databricks-Certified-Data-Engineer-Associate Exam: Frequently Asked Questions
The Databricks Certified Data Engineer Associate exam is the official Databricks test registered under exam code Databricks-Certified-Data-Engineer-Associate. Passing it earns you the Databricks Certification certification, a credential at the Associate level. It is also linked to the related certification: Databricks Certified Data Analyst Associate. Databricks exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.
The Databricks Certified Data Engineer Associate exam includes 60 questions to be completed within 90 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the ActualCollection test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.
To pass the Databricks Certified Data Engineer Associate exam you need 70%, and the official registration fee is $200 USD. A retake is not discounted: a failed attempt means paying the full $200 USD again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the ActualCollection practice tests, not just squeaking past it once.
Recommended: 6+ months of experience with Databricks and Apache Spark
Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.
Yes. ActualCollection offers a free PDF demo of the Databricks Certified Data Engineer Associate material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.
If you take the Databricks Certified Data Engineer Associate exam within 60 days of your purchase and do not pass, ActualCollection backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.
Delivery itself is instant: your files are downloadable right away and emailed to you within one minute of payment. If nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you may install the software on.
The official Databricks Certified Data Engineer Associate syllabus is organized into 6 domains. Key areas include Lakehouse Platform Concepts (10-15%), Python for Data Engineering (10-15%), and Apache Spark Data Processing Fundamentals (20-25%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.
Databricks Certified Data Engineer Associate Sample Questions:
Question 1
A data engineer must deliver a trustworthy customer 360 dataset in Databricks for data scientists and BI teams. The engineer plans to join deduplicated customer records with cleaned transaction data, enforce schema and data quality checks, and create a conformed
"customer_transactions"view. Later, highly aggregated, domain-specific tables (for weekly spend and executive summaries) will be produced for dashboards.
Where should the engineer build the conformed "customer_transactions" dataset, and where should the aggregated, report-ready tables reside?
A. Build "customer_transactions" in Silver and put the aggregated, report-ready tables in Gold.
B. Build "customer_transactions" in Gold and put the aggregated, report-ready tables in Silver.
C. Build "customer_transactions" in Bronze and put the aggregated, report-ready tables in Silver.
D. Build both "customer_transactions" and aggregated, report-ready tables in Silver to keep the model simpler.
Question 2
A data engineer is running code in a Databricks Repo that is cloned from a central Git repository.
A colleague of the data engineer informs them that changes have been made and synced to the central Git repository. The data engineer now needs to sync their Databricks Repo to get the changes from the central Git repository.
Which of the following Git operations does the data engineer need to run to accomplish this task?
A. Commit
B. Merge
C. Push
D. Pull
E. Clone
Question 3
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query. For the first week following the project's release, the manager wants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?
A. They can set the query's refresh schedule to end after a certain number of refreshes.
B. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
C. They can set the query's refresh schedule to end on a certain date in the query scheduler.
D. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.
E. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
Question 4
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
A. Driver node
B. Databricks Filesystem
C. Worker node
D. JDBC data source
E. Databricks web application
Question 5
A data engineer notices that a Spark job performing a join between a large table and a small lookup table is slow. The lookup table is only a few megabytes. Which Spark optimization technique should be applied to improve the performance of the join operation?
A. Broadcast join
B. Shuffle join
C. Cartesian join
D. Sort merge join
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: E | Question 5 Answer: A |
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