PDF to print, Windows software to simulate and score, an online APP for every device you own — the Databricks Certified Data Engineer Associate set from ExamTorrent adapts to you, 322 practice questions in every format.
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 |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Passing Score: | 70% |
| Exam Price: | $200 USD |
| 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% | - Understand the Lakehouse architecture and its benefits - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts |
| Topic 2: 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 |
| Topic 3: Spark SQL and DataFrames | 15-20% | - Join and union DataFrames - Write and execute Spark SQL queries - Aggregate and group data - Handle null values and data quality |
| Topic 4: Delta Lake Fundamentals | 20-25% | - Explain Delta Lake features and benefits - Understand ACID transactions and time travel - Write to and read from Delta tables - Create and manage Delta tables |
| Topic 5: Python for Data Engineering | 10-15% | - Work with Spark APIs in Python - Use PySpark for data processing - Implement user-defined functions (UDFs) |
| Topic 6: 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 |
Databricks-Certified-Data-Engineer-Associate FAQ — Efficient Preparation Starts Here
Recommended: 6+ months of experience with Databricks and Apache Spark Eligibility rules do change, so confirm the current requirements on the official page (official Databricks-Certified-Data-Engineer-Associate exam page) before booking.
90 minutes for 60 questions. Efficiency beats exhaustion: the ExamTorrent software version simulates the real test scene and scores your performance, so every practice hour moves you forward.
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$200 USD per attempt, 70% to pass. Since a retake costs the full fee, prepare with direction: the 322 practice questions from ExamTorrent focus your effort where the exam points are.
The Databricks Certified Data Engineer Associate is Databricks's certification exam for Databricks Certification, at the Associate level. It validates applied skills employers hire for — a credential worth the effort. Related credentials include Databricks Certified Data Analyst Associate.
The Databricks Certified Data Engineer Associate blueprint covers 6 domains — including Data Pipeline Architecture (15-20%), Delta Lake Fundamentals (20-25%), Apache Spark Data Processing Fundamentals (20-25%). The weightings are your efficiency map: heavy domains first. Every subtopic appears in the outline above.
Yes — download the free Databricks Certified Data Engineer Associate demo and judge the question quality before paying. Every purchase stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
Databricks Certified Data Engineer Associate Sample Questions:
A data engineer is configuring Delta Sharing for a multi-team project where teams from different departments will need to access shared data. The data engineer has successfully created a Unity Catalog metastore and is now setting up the Delta Share. The goal is to ensure that internal teams can access the shared data with full permissions, while external partners can only read the data. Which action should the Data Engineer take to configure the sharing correctly?
- A. Assign READ permissions to external partners through the Delta Share and READ/WRITE permissions to internal teams, and ensure the correct tables and views are shared.
- B. Grant READ permissions to external partners and READ/WRITE permissions to internal teams through the Delta Share.
- C. Create a Delta Share, add the internal team's tables and views, and assign READ/WRITE permissions to both external partners and internal teams.
- D. Create a Delta Share, set up a secure access URL for internal teams and external partners, and distribute the URL to provide them access to the shared data.
Correct Answer: A 🗳️
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Which of the following Git operations must be performed outside of Databricks Repos?
- A. Pull
- B. Commit
- C. Clone
- D. Push
- E. Merge
Correct Answer: E 🗳️
In a healthcare provider organization using Delta Lake to store electronic health records (EHRs), a data analyst needs to analyze a snapshot of the patient_records table from two weeks ago before some recent data corrections were applied. What approach should the Data Engineer take to allow the analyst to query that specific prior version?
- A. Truncate the table to remove all data, then reload the data from two weeks ago into the truncated table for the analyst to query.
- B. Restore the table to the version from two weeks ago using the RESTOREcommand, and have the analyst query the restored table.
- C. Identify the version number corresponding to two weeks ago from the Delta transaction log, share that version number with the analyst to query using VERSION AS OF syntax, or export that version to a new Delta table for the analyst to query.
- D. Use the VACUUMcommand to remove all versions of the table older than two weeks, then the analyst can query the remaining version.
Correct Answer: C 🗳️
A data engineering team needs to integrate two data sources into Databricks:
- Clickstream Events: Ingesting 5,000 events per second from an Apache
Kafka topic.
- Customer Master Data: Syncing only changed records every 4 hours from a Snowflake database.
The solution must meet two key requirements:
- Process the streaming clickstream data with a latency of under 30
seconds.
- Prevent the reprocessing of customer master data that has not
changed.
Which data ingestion approach meets these requirements?
- A. Use Structured Streaming for Kafka and Lakeflow Connect managed connector with incremental mode for Snowflake.
- B. Use spark.readStream() with Kafka and query Snowflake hourly with a time-based filter.
- C. Use a non-incremental Snowflake connector with polling and fetch all data every 4 hours with MERGE operations.
- D. Use Structured Streaming for Kafka and a Lakeflow Connect standard connector with full refresh for Snowflake.
Correct Answer: A 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
A data engineer is attempting to grant a user access to a view. They successfully run GRANT SELECT ON VIEW sales_catalog.market_data.summary TO analyst_group.
However, the analyst still receives an "Insufficient Permissions" error when trying to query the view.
In which order should the engineer verify the Hierarchy of Securable Objects to ensure the analyst has the necessary usage permissions?
- A. STORAGE CREDENTIAL -> EXTERNAL LOCATION -> VIEW
- B. CATALOG -> SCHEMA -> VIEW
- C. METASTORE -> TABLE -> VIEW
- D. WORKSPACE -> CLUSTER -> VIEW
Correct Answer: B 🗳️
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