Data Engineer Associate
6
270
45 questions
90 minutes
Not published by Databricks (pass/fail result)
Multiple choice
Databricks Intelligence Platform | Platform architecture, Delta Lake, Unity Catalog and choosing the right compute (6%) Data Ingestion and Loading | Batch, streaming and incremental loading with Auto Loader, COPY INTO and Lakeflow Connect (21%) Data Transformation and Modeling | PySpark and SQL cleaning, joins, aggregations, tuning, Gold-layer objects and data quality (22%) Working with Lakeflow Jobs | Task graphs, retries, branching and looping, schedules and file arrival or table update triggers (16%) Implementing CI/CD | Git folders, Declarative Automation Bundles, targets and variables, and the Databricks CLI (10%) Troubleshooting, Monitoring, and Optimization | Job run history, Spark UI skew and spill, Liquid Clustering and predictive optimization (10%) Governance and Security | Managed and external tables, GRANT and REVOKE, row filters, column masks and ABAC policies (15%)
Data engineers preparing for the Databricks Certified Data Engineer Associate exam ETL developers moving pipelines onto Databricks and Lakeflow Data analysts and BI developers growing into data engineering Cloud and platform engineers validating their Databricks skills
Data Ingestion and Loading
A data engineer must load CSV files from an S3 path into an existing Unity Catalog table with a single SQL statement that runs on a schedule. Each run must load only files that have not been loaded before. Which command should be used?
INSERT INTO main.raw.orders SELECT * FROM the CSV path
COPY INTO main.raw.orders FROM the S3 path with FILEFORMAT = CSV
CREATE OR REPLACE TABLE main.raw.orders AS SELECT * FROM the CSV path
MERGE INTO main.raw.orders USING the CSV path ON false
B
COPY INTO loads files from cloud storage into a Delta table and is idempotent: it tracks which files it has already loaded and skips them on later runs. INSERT INTO and MERGE INTO over the path reload every file on each run, and CREATE OR REPLACE TABLE reloads everything and replaces the table.
Updated 2026Instant accessLifetime access

Databricks Data Engineer Associate Practice Tests: 6 Practice Tests and 270 Questions

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About this course

These practice tests are for data engineers, ETL developers, analysts moving into engineering and cloud engineers preparing for the Databricks Certified Data Engineer Associate exam. They are a quick way to check your readiness before you book the exam.

You get 6 full-length practice tests with 45 questions each, 270 questions in total, sized like the real exam. Every question explains why the right answer is right and why the others are wrong, and each one is mapped to a section of the official exam guide. The series was rebuilt for 2026 against the May 2026 exam guide. Every answer key was re-checked, retired terms such as Delta Live Tables, Repos and DBFS mounts were updated, and new questions cover Lakeflow Jobs control flow and triggers, Declarative Automation Bundles, COPY INTO, Lakeflow Connect, row filters, column masks and ABAC policies.

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practice exams

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Best part is the sheer volume of questions which can practice and improve your score every day and week.
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Databricks Data Engineer Associate Mock Tests

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