About Databricks Certified Data Engineer Associate exam torrent
Commutes, lunch queues, waiting rooms — the Databricks Certified Data Engineer Associate fits into all of them when your materials travel well. ExamsTorrent turns fragmented minutes into real progress with 322 practice questions for the Databricks-Certified-Data-Engineer-Associate exam, usable at home, at the office, or on the road.
Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | DE-A |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 45 scored multiple-choice questions |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Databricks Certified Data Engineer Professional |
| Exam Format: | Proctored online or test center, Scenario-based questions, Multiple-choice |
| Exam Price: | USD 200 |
| Passing Score: | Approximately ~70% (not officially fixed/publicly guaranteed) |
| 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 |
Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing and Transformations | - Apache Spark SQL operations (joins, aggregations, filtering) - PySpark DataFrame transformations - Delta Lake fundamentals (tables, transactions, optimization) - User-defined functions (UDFs) |
| Topic 2: Data Ingestion and ELT Development | - ETL patterns and transformations - Data ingestion using Spark SQL and PySpark - Handling structured and semi-structured data |
| Topic 3: Databricks Lakehouse Platform Fundamentals | - Clusters, notebooks, and basic Databricks environment usage - Workspace, architecture, and core platform concepts |
| Topic 4: Productionizing Data Pipelines | - Databricks Workflows / Jobs orchestration - Scheduling and monitoring jobs - Pipeline deployment and operationalization |
| Topic 5: Data Governance and Quality | - Unity Catalog basics - Data access control and governance - Data quality concepts and management |
Databricks Databricks-Certified-Data-Engineer-Associate Exam — Questions Candidates Actually Ask
The Databricks-Certified-Data-Engineer-Associate exam presents 45 scored multiple-choice questions questions inside a 90 minutes window. That combination makes time a resource you manage, not a backdrop: candidates who never practice against a clock often leave easy questions unanswered at the end. Use the ExamsTorrent mock exam system — its timing function recreates the real pressure, so you can spot pacing gaps during preparation instead of during the exam.
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No formal prerequisites required; recommended ~6 months hands-on experience with Databricks, Spark SQL, and PySpark.
Vendor rules change periodically, so before scheduling, confirm the latest requirements on the official Databricks exam page.
For the Databricks Certified Data Engineer Associate, Databricks recommends the following training:
- Databricks Data Engineering Learning Path (Databricks Academy)
- Official Data Engineering with Databricks Course
Formal training builds understanding; focused practice builds exam-day performance. Combine either resource above with 322 practice questions from ExamsTorrent and you cover both.
The Databricks-Certified-Data-Engineer-Associate exam — officially the Databricks Certified Data Engineer Associate Exam — is Databricks's certification test for professionals working with its technologies, and passing it awards the Databricks Certified Data Engineer Associate certification at the Associate level. Whether you are a student, an office worker, or a veteran of the field, a vendor-issued credential is one of the few qualifications every employer reads the same way. It also leads naturally toward Databricks Certified Data Engineer Professional.
Passing requires Approximately ~70% (not officially fixed/publicly guaranteed), and official registration costs USD 200. Budget-wise, remember the fee covers one attempt only — a retake is charged in full again. The prudent sequence is to self-assess first: run timed mocks with 322 practice questions at ExamsTorrent until your scores clear the passing mark with margin, and only then spend on the seat.
The Databricks Certified Data Engineer Associate syllabus is divided into 5 domains, headlined by Data Processing and Transformations, Productionizing Data Pipelines, and Data Governance and Quality. The complete weighted outline is in the syllabus section above — let it direct your preparation toward the points that matter most.
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The Databricks Certified Data Engineer Associate is booked through these official channels:
When scheduling, note that the Databricks-Certified-Data-Engineer-Associate exam is delivered Online proctored exam or test center.
Databricks Certified Data Engineer Associate Sample Questions:
A data engineer is joining a very large events_df (billions of rows) with a small country_lookup_df (fewer than 10,000 rows) on the country_code column. The join is slow due to data shuffling. How should the data engineer improve performance?
- A. broadcast events_df when performing the join
- B. Persist both DataFrames, then run the same join
- C. Cache both DataFrames, then run the same join
- D. broadcast country_lookup_df when performing the join
Correct Answer: D 🗳️
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A data engineer is setting up a new Databricks pipeline that ingests clickstream events from Kafka and daily product catalogs from cloud object storage. To ensure auditability and easy reprocessing, the engineer wants to land all source data. Later stages will handle cleaning, deduplication, and business modeling before the data is used in dashboards.
Which approach aligns to Medallion Architecture principles?
- A. Land both sources in the Bronze layer append-only with minimal validation, then build Silver/Gold downstream for quality and analytics.
- B. Land streaming events from Kafka in silver, and the product catalog directly in Gold to minimize layers for batch data.
- C. Land both sources in Gold with denormalized star schemas to optimize BI while retaining full source fidelity.
- D. Land both sources directly into the Silver layer with schema enforcement and deduplication to reduce downstream complexity.
Correct Answer: A 🗳️
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In a Lakeflow Declarative Pipeline (Delta Live Tables), a data engineer must ensure that records with a null order_id are discarded from the silver table while the pipeline continues to run.
Which expectation clause should be used?
- A. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL) ON VIOLATION FAIL UPDATE
- B. ALTER TABLE silver_orders ADD CONSTRAINT valid_id CHECK (order_id IS NOT NULL)
- C. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL) ON VIOLATION DROP ROW
- D. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL)
Correct Answer: C 🗳️
Explanation: Only visible for ExamsTorrent members. You can sign-up / login (it's free).
Differentiate between all-purpose clusters and jobs clusters.
A data engineering team has created a python notebook to load data from cloud storage, this job has been tested and now needs to be scheduled in production.
Which would be the best cluster to be used in this case?
- A. Any Unity Catalog-enabled cluster
- B. All purpose cluster
- C. Jobs Cluster
- D. Serverless SQL warehouse
Correct Answer: C 🗳️
A data engineer wants to ensure that duplicate records are removed from a dataset based on specific columns before writing to a Delta table. Which Spark DataFrame method removes duplicate rows?
- A. dropDuplicates
- B. uniqueRows
- C. removeDuplicates
- D. distinctBy
Correct Answer: A 🗳️
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