Databricks Certified Data Engineer Associate Exam: Databricks-Certified-Data-Engineer-Associate Exam
"Databricks Certified Data Engineer Associate Exam", also known as Databricks-Certified-Data-Engineer-Associate exam, is a Databricks Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 322 Q&As to your Databricks-Certified-Data-Engineer-Associate Exam preparation. In the Databricks-Certified-Data-Engineer-Associate exam resources, you will cover every field and category in Databricks Certification Certification helping to ready you for your successful Databricks Certification.
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- Updated on: Oct 27, 2026
- No. of Questions: 322 Questions & Answers
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- Updated on: Oct 27, 2026
- No. of Questions: 322 Questions & Answers
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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: | Databricks-Certified-Data-Engineer-Associate |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Exam Format: | Multiple Select, Multiple Choice |
| Real Exam Qty: | 60 |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Python for Data Engineering | 10-15% | - Use PySpark for data processing - Work with Spark APIs in Python - Implement user-defined functions (UDFs) |
| Data Pipeline Architecture | 15-20% | - Understand ELT vs ETL patterns - Design data pipelines for batch and streaming - Implement incremental data processing - Monitor and optimize pipeline performance |
| Apache Spark Data Processing Fundamentals | 20-25% | - Apply transformations and actions on DataFrames - Work with structured data types (arrays, maps, structs) - Create and use Spark DataFrames - Use Spark SQL for data processing |
| Delta Lake Fundamentals | 20-25% | - Understand ACID transactions and time travel - Create and manage Delta tables - Explain Delta Lake features and benefits - Write to and read from Delta tables |
| Spark SQL and DataFrames | 15-20% | - Write and execute Spark SQL queries - Aggregate and group data - Join and union DataFrames - Handle null values and data quality |
| Lakehouse Platform Concepts | 10-15% | - Understand the Lakehouse architecture and its benefits - Explain data governance and security concepts - Describe key Databricks Lakehouse platform components |
Databricks-Certified-Data-Engineer-Associate Exam Guide: What You Need to Know
The Databricks-Certified-Data-Engineer-Associate exam consists of 60 questions to be answered within 90 minutes minutes. Timed practice under the same constraints is the standard way to make that pace feel comfortable rather than rushed.
Recommended: 6+ months of experience with Databricks and Apache Spark
The official outline organizes the Databricks-Certified-Data-Engineer-Associate exam into weighted domains such as:
- Apache Spark Data Processing Fundamentals (20-25%)
- Lakehouse Platform Concepts (10-15%)
- Delta Lake Fundamentals (20-25%)
The Databricks Certified Data Engineer Associate practice questions at iPassleader follow this same objective map, so every hour of review lands on exam-relevant ground.
The Databricks-Certified-Data-Engineer-Associate exam is the official assessment for the Databricks Certified Data Engineer Associate certification from Databricks. It verifies that you can apply the published exam objectives to practical scenarios, and the resulting credential showcases your capacity in a way employers immediately recognize — a concrete step in any all-round self-improvement plan.
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You need 70% to pass the Databricks-Certified-Data-Engineer-Associate exam, and the fee is $200 USD per attempt. Solid preparation before booking is the most cost-effective strategy — practice until your timed scores sit consistently above the passing mark.
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Databricks Certified Data Engineer Associate Sample Questions:
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?
- A.

- B.

- C.

- D.

- E.

Correct Answer: D 🗳️
A Python file is ready for production and the client wants to use the most efficient yet cost- effective type of cluster possible. The workload is quite small, only processing 10GBs of data with only simple joins and no complex aggregations or wide transformations.
Which cluster meets the requirement?
- A. Job cluster with spot instances enabled
- B. Job cluster with spot instances disabled
- C. Job cluster with Photon enabled
- D. Interactive cluster
Correct Answer: A 🗳️
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A Delta table sales_fact is frequently queried with predicates on store_id and transaction_date.
Query performance has degraded because the table contains a very large number of small files.
Which command improves read performance for these query patterns?
- A. OPTIMIZE sales_fact ZORDER BY (store_id, transaction_date)
- B. ANALYZE TABLE sales_fact COMPUTE STATISTICS
- C. VACUUM sales_fact RETAIN 168 HOURS
- D. REFRESH TABLE sales_fact
Correct Answer: A 🗳️
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A data engineer wants a Structured Streaming job to process all data available in the source, then stop automatically, so it can run on a scheduled job cluster instead of running continuously.
Which trigger should be configured?
- A. .trigger(continuous="1 second")
- B. .trigger(once=True) with maxFilesPerTrigger disabled
- C. .trigger(availableNow=True)
- D. .trigger(processingTime="0 seconds")
Correct Answer: C 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to manipulate the same data using a variety of languages
- B. The ability to set up alerts for query failures
- C. The ability to distribute complex data operations
- D. The ability to collaborate in real time on a single notebook
- E. The ability to support batch and streaming workloads
Correct Answer: E 🗳️
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