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DP-750 · 2.2.6 · Secure and govern Unity Catalog objects

Audit logging

Configure audit logging

Use audit data to investigate who performed actions, on which workspace or resource, and when.

Query audit evidence where engineers work

Azure Databricks SQL editor showing a query, parameters, workspace navigation, and tabular results.

Audit data becomes useful when you can query it as structured evidence. The SQL editor is the practical surface for investigating audit records, while the diagrams below explain delivery, retention, and review flow.

Audit answers who did what

  • Audit

    Question
    Who acted and when?
    Focus
    Identity and activity
    Use
    Security investigation
  • Lineage

    Question
    What depends on what?
    Focus
    Data relationships
    Use
    Impact analysis
Audit versus lineage

Use audit data for operational accountability and security investigations.

Query the system table

  1. 1system.access.auditStart with the system table
  2. 2event_dateLimit the time window
  3. 3user_identityFind the actor
  4. 4service and actionUnderstand what happened
Audit investigation

Workspace ID, source IP, request context, service name, action, and timestamps help narrow the event.

Protect audit data

Audit records contain sensitive identity and operational metadata. Restrict access to the users and systems that genuinely need investigation or monitoring capability.

Key points

  • Audit table: system.access.audit provides account activity records
  • Identity: Events include the actor and request context
  • Workspace: Workspace events can be filtered by workspace ID
  • Security: Restrict audit data because it exposes sensitive activity metadata

Exam trap

Audit logs show actions and context; they do not replace application data lineage.

Sources · 1 Microsoft Learn page Show ▾

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