Lineage, audit logs and data quality monitoring

DP-750 · Secure, govern and optimize workloads · Updated

Use system tables for lineage and audit, Data Profiling monitor types, and Spark UI diagnostics to govern and tune Azure Databricks workloads.

This lesson is part of full DP-750 access

The first 2 DP-750 lessons are free. Full access opens every lesson with its practice questions, and the exam-style DP-750 question bank.

In this lesson
  • Lineage
  • System tables
  • Data profiling and quality
  • Performance diagnosis
  • Exam traps
  • Practice questions

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DP-750 course outline

All 8 lessons · Course overview
  1. Choosing Azure Databricks computeSet up and configure an Azure Databricks environment Free
  2. Unity Catalog objects and storageSet up and configure an Azure Databricks environment Free
  3. Delta Lake tables and maintenanceIngest and transform data Full access
  4. Auto Loader and Structured StreamingIngest and transform data Full access
  5. Lakeflow Declarative PipelinesBuild and manage data pipelines Full access
  6. Lakeflow Jobs, scheduling and deploymentBuild and manage data pipelines Full access
  7. Securing data with Unity CatalogSecure, govern and optimize workloads Full access
  8. Lineage, audit logs and data quality monitoringSecure, govern and optimize workloads Full access