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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | DE-A |
| Related Certifications: | Databricks Certified Data Engineer Professional |
| Passing Score: | Approximately ~70% (not officially fixed/publicly guaranteed) |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Scenario-based questions, Proctored online or test center |
| Exam Price: | USD 200 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 45 scored multiple-choice questions |
| Recommended Training: | Databricks Data Engineering Learning Path (Databricks Academy) Official Data Engineering with Databricks Course |
| Exam Registration: | Databricks Certification Portal |
| 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 |
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and ELT Development | - Data ingestion using Spark SQL and PySpark - ETL patterns and transformations - Handling structured and semi-structured data |
| Topic 2: Data Governance and Quality | - Unity Catalog basics - Data quality concepts and management - Data access control and governance |
| Topic 3: Data Processing and Transformations | - PySpark DataFrame transformations - User-defined functions (UDFs) - Delta Lake fundamentals (tables, transactions, optimization) - Apache Spark SQL operations (joins, aggregations, filtering) |
| Topic 4: Productionizing Data Pipelines | - Databricks Workflows / Jobs orchestration - Pipeline deployment and operationalization - Scheduling and monitoring jobs |
| Topic 5: Databricks Lakehouse Platform Fundamentals | - Clusters, notebooks, and basic Databricks environment usage - Workspace, architecture, and core platform concepts |
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Databricks recommends these official training options:
Match the course to your experience level, then reinforce it with steady question practice.
Currently, the Databricks-Certified-Data-Engineer-Associate exam requires a passing score of Approximately ~70% (not officially fixed/publicly guaranteed) and carries a registration fee of USD 200. Databricks can revise either figure, so confirm both on the official site before you schedule.
Because every step is built to save time. The Databricks-Certified-Data-Engineer-Associate bank is carefully made — expert-verified answers across the Databricks Certified Data Engineer Associate objectives, organized for efficient study rather than endless reading. Delivery is instant upon payment, updates are free for 365 days and arrive by email automatically, and our customer service team is online 24 hours to give fast, precise replies whenever a question about the materials comes up. Efficiency is the design goal, from first click to exam day.
The Databricks Certified Data Engineer Associate blueprint is structured around these main domains:
Further domains complete the official outline; the question bank spans every one.
Per the latest exam information, the Databricks-Certified-Data-Engineer-Associate exam includes 45 scored multiple-choice questions questions and allows 90 minutes minutes. Rehearsing under the same limit at home removes one more unknown from exam day.
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Databricks lists these prerequisites for the Databricks Certified Data Engineer Associate: No formal prerequisites required; recommended ~6 months hands-on experience with Databricks, Spark SQL, and PySpark..
Confirm the current requirements on the official certification page before registering.
Registration goes through the official channels below:
Choose a test center or online session that fits your schedule, and book ahead for the best availability.
The Delta transaction log for the 'students' tables is shown using the 'DESCRIBE HISTORY students' command. A Data Engineer needs to query the table as it existed before the UPDATE operation listed in the log. Which command should the Data Engineer use to achieve this?
(Choose two.)
Correct Answer: D,E 🗳️
Explanation: Only visible for TestkingPass members. You can sign-up / login (it's free).
Identify how the count_if function and the count where x is null can be used.
Consider a table random_values with below data.
What would be the output of below query?
select count_if(col1 > 1) as count_a, count(*) as count_b,count(col1)
as count_c from random_values
col1
0
1
2
NULL
2
3
Correct Answer: A 🗳️
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
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?
Correct Answer: C 🗳️
Which of the following statements regarding the relationship between Silver tables and Bronze tables is always true?
Correct Answer: B 🗳️
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