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Last Updated: Sep 24, 2026
No. of Questions: 217 Questions & Answers with Testing Engine
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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Professional Data Engineer Exam |
| Exam Number: | Databricks-Certified-Professional-Data-Engineer |
| Real Exam Qty: | 60 |
| Passing Score: | 70% |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Databricks Certified Data Analyst Associate Databricks Certified Associate Developer |
| Exam Price: | $200 USD |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam (Pearson VUE) |
| Pre Condition: | Recommended: 6+ months of hands-on experience with Databricks and data engineering concepts; familiarity with Python or Scala and SQL is strongly recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/professional-data-engineer |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Delta Lake | 20-25% | - Delta Lake fundamentals
|
| Topic 2: Data Processing with Spark | 25-30% | - Spark DataFrames and Spark SQL
|
| Topic 3: Data Ingestion | 15-20% | - Batch ingestion methods
|
| Topic 4: Pipeline Development and Orchestration | 10-15% | - Databricks workflows
|
| Topic 5: Data Warehouse and Lakehouse Architecture | 15-20% | - Lakehouse architecture principles
|
The official Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer Korean Version) blueprint is split into 5 domains, starting with Data Processing with Spark (25-30%), Data Ingestion (15-20%), Pipeline Development and Orchestration (10-15%). The percentages tell you where the exam concentrates its questions, so budget your study time accordingly — the complete outline above lists every domain and subtopic.
The Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer Korean Version) is Databricks's official exam for the Databricks Certification certification, positioned at the Professional level. It is the credential hiring managers scan for, and passing it proves your skills meet the vendor's own standard. It also links to related certifications like Databricks Certified Associate Developer, Databricks Certified Data Analyst Associate, so this exam can serve as a building block in a longer certification plan.
The official registration fee is $200 USD, and you will need 70% to pass. Here is the part people forget: fail, and the retake costs the same full fee again — there is no discount for a second attempt. Drill with the 217 practice questions from ActualTestsQuiz until your scores are consistently past the mark, and only then spend that fee.
Yes — a free PDF demo lets you inspect the question quality and format before you pay a cent. Once you purchase, your Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer Korean Version) material comes with 365 days of free updates, and if that update period ever lapses, extending it costs just 50% of the price in your member zone.
The exam contains 60 questions to be finished within 90 minutes. That ratio is tighter than most candidates expect, which is why pacing matters as much as knowledge. Practice skipping and returning to hard questions, set yourself a per-question time budget, and complete at least two full timed mock exams in the ActualTestsQuiz engine so you feel the clock pressure before it actually counts.
Recommended: 6+ months of hands-on experience with Databricks and data engineering concepts; familiarity with Python or Scala and SQL is strongly recommended Vendor requirements do change from time to time, so confirm the current criteria before scheduling — the official Databricks-Certified-Professional-Data-Engineer Korean exam page has the final word.
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데이터 엔지니어링 팀은 Delta Lake 테이블의 값을 모니터링하기 위해 Databricks SQL 쿼리와 알림을 구성했습니다. recent_sensor_recordings 테이블에는 최근 5분 동안의 기록에 대한 센서 ID, 타임스탬프 및 온도가 포함되어 있습니다.
아래 쿼리는 알림을 생성하는 데 사용됩니다.
해당 쿼리는 1분마다 갱신되도록 설정되어 있으며 항상 10초 이내에 완료됩니다. 평균 온도(온도)가 120°F(섭씨 약 38도)를 초과하면 알림이 발생하도록 설정되어 있습니다. 알림은 최대 1분 간격으로 전송됩니다.
이 알림이 3분 동안 연속으로 발생하다가 멈춘다면, 다음 중 어떤 설명이 반드시 참이어야 합니까?
Correct Answer: B 🗳️
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데이터 엔지니어가 Databricks의 Lakeflow Declarative Pipelines(LDP)를 사용하여 고객 데이터를 수집하는 간단한 데이터 파이프라인을 구축하고 있습니다. 원시 고객 데이터는 클라우드 스토리지에 JSON 형식으로 저장되어 있습니다. 이 작업은 원시 JSON 데이터를 읽어 추가 처리를 위해 Delta 테이블에 쓰는 Lakeflow Declarative Pipelines를 생성하는 것입니다.
어떤 코드 조각이 원시 JSON 데이터를 올바르게 가져와 LDP를 사용하여 델타 테이블을 생성합니까?
Correct Answer: C 🗳️
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아래 쿼리를 사용하여 Delta Lake 테이블이 생성되었습니다.
다음 질문을 고려해 보세요.
DROP TABLE prod.sales_by_store -
워크스페이스 관리자가 이 명령문을 실행하면 어떤 결과가 발생할까요?
Correct Answer: D 🗳️
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거래 테이블이 product_id, user_id 및 event_date 열을 기준으로 Liquid 클러스터링되었습니다.
쓰기 시 클러스터링을 지원하지 않는 작업은 무엇입니까?
Correct Answer: D 🗳️
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
Databricks Query Profiler에서 쿼리 실행을 검토하던 데이터 엔지니어는 '상위 연산자' 패널에서 '정렬' 연산자의 소요 시간 및 메모리 사용량이 높게 나타나는 것을 확인했습니다. 또한 Spark UI에서도 데이터 스필링이 빈번하게 발생하는 것으로 보고되었습니다.
데이터 엔지니어는 이 문제를 어떻게 해결해야 할까요?
Correct Answer: B 🗳️
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
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