Databricks Databricks-Certified-Professional-Data-Engineer exam - in .pdf

Databricks-Certified-Professional-Data-Engineer pdf
  • Exam Code: Databricks-Certified-Professional-Data-Engineer
  • Exam Name: Databricks Certified Professional Data Engineer Exam
  • Updated: Jul 20, 2026
  • Q & A: 217 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

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  • Exam Code: Databricks-Certified-Professional-Data-Engineer
  • Exam Name: Databricks Certified Professional Data Engineer Exam
  • Updated: Jul 20, 2026
  • Q & A: 217 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Databricks-Certified-Professional-Data-Engineer Testing Engine
  • Exam Code: Databricks-Certified-Professional-Data-Engineer
  • Exam Name: Databricks Certified Professional Data Engineer Exam
  • Updated: Jul 20, 2026
  • Q & A: 217 Questions and Answers
  • Software Price: $59.99
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Databricks Databricks-Certified-Professional-Data-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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

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