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Databricks Databricks-Certified-Professional-Data-Engineer Exam Syllabus Topics:
| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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.
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| Topic 3 | - Security & Governance: It discusses creating Dynamic views to accomplishing data masking and using dynamic views to control access to rows and columns.
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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
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