Learn with Databricks : Databricks-Certified-Data-Engineer-Associate training material for 100% pass
Updated: Nov 07, 2026
No. of Questions: 322 Questions & Answers with Testing Engine
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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 |
| Available Languages: | English |
| Exam Format: | Scenario-based questions, Multiple-choice, Proctored online or test center |
| Exam Price: | USD 200 |
| Real Exam Qty: | 45 scored multiple-choice questions |
| Exam Duration: | 90 minutes |
| Passing Score: | Approximately ~70% (not officially fixed/publicly guaranteed) |
| Related Certifications: | Databricks Certified Data Engineer Professional |
| Certificate Validity Period: | 2 years |
| 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 Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
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Reference: https://www.databricks.com/learn/certification/data-engineer-associate
Databricks Certified Data Engineer Associate Sample Questions:
A data engineer needs to find all customers who have never placed an order. The customers table contains customer_id, customer_name, and other customer attributes. The orders table contains order_id, customer_id, and other order attributes. Both tables share customer_id as the join key. The result must include only customer columns with no order-related columns in the output. Which expression exactly achieves this requirement?
- A. Full outer join, then filter where order_id IS NULL
- B. Inner join, then filter for NULL order_id
- C. Left anti-join from customers to orders
- D. Left outer join from orders to customers
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
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. Push
- B. Clone
- C. Commit
- D. Pull
- E. Merge
Correct Answer: D 🗳️
An organization is looking for an optimized storage layer that supports ACID transactions and schema enforcement. Which technology should the organization use?
- A. Unity Catalog
- B. Cloud File Storage
- C. Delta Lake
- D. Data lake
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
A data engineering team runs multiple daily batch jobs. The team needs to run the jobs on a fixed overnight schedule with consistent performance and controlled resource usage. The team wants to minimize operational overhead and reduce idle cluster costs. Which compute option should the team use?
- A. Classic all-purpose compute
- B. SQL warehouses
- C. Serverless jobs compute
- D. Classic jobs compute
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
A data engineer wants to combine two datasets that share the same schema and append rows from one dataset to another. Which Spark DataFrame operation performs this row-wise combination?
- A. intersect
- B. join
- C. merge
- D. union
Correct Answer: D 🗳️
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