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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: | Databricks-Certified-Data-Engineer-Associate |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Duration: | 90 minutes |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Passing Score: | 70% |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| 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 |
|---|---|---|
| Data Pipeline Architecture | 15-20% | - Understand ELT vs ETL patterns - Implement incremental data processing - Design data pipelines for batch and streaming - Monitor and optimize pipeline performance |
| Lakehouse Platform Concepts | 10-15% | - Understand the Lakehouse architecture and its benefits - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts |
| Python for Data Engineering | 10-15% | - Implement user-defined functions (UDFs) - Use PySpark for data processing - Work with Spark APIs in Python |
| Apache Spark Data Processing Fundamentals | 20-25% | - Work with structured data types (arrays, maps, structs) - Use Spark SQL for data processing - Create and use Spark DataFrames - Apply transformations and actions on DataFrames |
| Delta Lake Fundamentals | 20-25% | - Explain Delta Lake features and benefits - Write to and read from Delta tables - Create and manage Delta tables - Understand ACID transactions and time travel |
| Spark SQL and DataFrames | 15-20% | - Write and execute Spark SQL queries - Handle null values and data quality - Aggregate and group data - Join and union DataFrames |
Databricks Certified Data Engineer Associate Exam FAQ — Valid Answers
The Databricks Certified Data Engineer Associate blueprint spans 6 domains — including Python for Data Engineering (10-15%), Delta Lake Fundamentals (20-25%), Apache Spark Data Processing Fundamentals (20-25%). Spend your hours where the percentages are; the full outline above lists every subtopic.
$200 USD per attempt, 70% to pass. Retakes bill the full fee again, so make the first attempt the prepared one — rehearse with the 322 practice questions from ExamTorrent until the mark is comfortably behind you.
90 minutes for 60 questions. Train the pace, don't guess it: the ExamTorrent software and online engines simulate the real test scene and score your performance, so exam day holds no surprises.
Recommended: 6+ months of experience with Databricks and Apache Spark Vendors adjust eligibility rules over time — verify the current requirements on the official page (official Databricks-Certified-Data-Engineer-Associate exam page) before registering.
Files first: payment triggers an automatic email within a minute — download on unlimited devices, and contact our round-the-clock team if nothing arrives within 2 hours (check spam). Failure is covered: take the corresponding Databricks-Certified-Data-Engineer-Associate exam within 60 days of purchase, and if you don't pass, email a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam — we handle it quickly, with the full refund processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You may instead exchange for two equal-value products free.
Yes — download the free Databricks Certified Data Engineer Associate demo and inspect real questions before paying. Your purchase then stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
The Databricks Certified Data Engineer Associate is Databricks's official exam for the Databricks Certification certification, at the Associate level. It validates practical, job-relevant skills — which is why employers shortlist certified candidates. Related credentials include Databricks Certified Data Analyst Associate.
Databricks Certified Data Engineer Associate Sample Questions:
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse provides storage solutions for structured and unstructured data.
- B. A data lakehouse supports ACID-compliant transactions.
- C. A data lakehouse allows the use of SQL queries to examine data.
- D. A data lakehouse enables machine learning and artificial Intelligence workloads.
- E. A data lakehouse stores data in open formats.
Correct Answer: B 🗳️
A data engineer notices that a Spark job repeatedly scans a large Delta table even though the dataset does not change during the session. Which technique can store the dataset in memory to speed up repeated queries?
- A. MERGE
- B. CACHE TABLE
- C. OPTIMIZE
- D. VACUUM
Correct Answer: B 🗳️
A data engineer wants to update specific rows in a Delta table based on matching keys from another dataset. The operation must support both insert and update logic in a single statement.
Which Delta Lake command supports this functionality?
- A. DELETE
- B. UPDATE
- C. MERGE INTO
- D. INSERT INTO
Correct Answer: C 🗳️
A data engineer has a PySpark DataFrame events_dfwhich contains a nested devicestruct, which itself includes a nested locationstruct, as shown:
The goal is to flatten the nested fields into root-level columns while keeping the event identifiers and timestamp.
Which PySpark expression achieves this?
- A.
- B.
- C.
- D.
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
A data engineer has developed a Python notebook in a Databricks workspace and has configured it to run as a scheduled Job to process daily sales data. How are the storage and execution of this notebook managed within the Databricks architecture?
- A. The notebook is stored securely and encrypted in the control plane, and the code executes in the compute plane when the job runs.
- B. The notebook is stored unencrypted in the workspace storage bucket, and the code executes on the cluster driver node in the compute plane when the job runs.
- C. The notebook is stored securely and encrypted in Unity Catalog, and the code executes in Delta Lake when the job runs.
- D. The notebook is stored securely and encrypted in the compute plane, and the code executes in the control plane when the job runs.
Correct Answer: A 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
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