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Databricks Databricks-Certified-Professional-Data-Engineer Korean Exam Syllabus Topics:

Topic	Details
Topic 1	Security & Governance: It discusses creating Dynamic views to accomplishing data masking and using dynamic views to control access to rows and columns.
Topic 2	Data Modeling: It focuses on understanding the objectives of data transformations, using Change Data Feed, applying Delta Lake cloning, designing multiplex bronze tables. Lastly it discusses implementing incremental processing and data quality enforcement, implementing lookup tables, and implementing Slowly Changing Dimension tables, and implementing SCD Type 0, 1, and 2 tables.
Topic 3	Databricks Tooling: The Databricks Tooling topic encompasses the various features and functionalities of Delta Lake. This includes understanding the transaction log, Optimistic Concurrency Control, Delta clone, indexing optimizations, and strategies for partitioning data for optimal performance in the Databricks SQL service.
Topic 4	Data Processing: The topic covers understanding partition hints, partitioning data effectively, controlling part-file sizes, updating records, leveraging Structured Streaming and Delta Lake, implementing stream-static joins and deduplication. Additionally, it delves into utilizing Change Data Capture and addressing performance issues related to small files.
Topic 5	Monitoring & Logging: This topic includes understanding the Spark UI, inspecting event timelines and metrics, drawing conclusions from various UIs, designing systems to control cost and latency SLAs for production streaming jobs, and deploying and monitoring both streaming and batch jobs.

Reference: https://www.databricks.com/learn/certification/data-engineer-professional

Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer Korean Version) Sample Questions:

Question #1

데이터 아키텍트는 두 개의 구조화된 스트리밍 작업이 하나의 브론즈 델타 테이블에 동시에 데이터를 기록하는 시스템을 설계했습니다. 각 작업은 Apache Kafka 소스의 서로 다른 토픽을 구독하지만, 동일한 스키마를 사용하여 데이터를 기록합니다. 디렉터리 구조를 단순하게 유지하기 위해 데이터 엔지니어는 두 스트림이 공유하는 체크포인트 디렉터리를 중첩하기로 결정했습니다.
제안된 디렉토리 구조는 아래와 같습니다.

주어진 시나리오에서 이 체크포인트 디렉터리 구조가 유효한지 여부를 설명하는 문장은 무엇이며, 그 이유는 무엇입니까?