Establishing organizational and platform foundations10% of the exam

Data Residency Across Platform Services

Trace payloads, metadata, logs, metrics and persistent state to their actual service locations, including the effects of regional moves, failover and log lifecycle changes.

Official exam objective
Identify data residency of different kinds of data (payload, metrics, and others).

~8 min read · 7 practice questions

What the exam expects

  • Identify locations separately for payloads, management metadata, telemetry and stored state.
  • Explain why moving an application does not necessarily relocate its dependencies.
  • Assess residency implications of regional failover and monitoring subscriptions.
  • Distinguish cloud Object Store storage from Runtime Fabric Persistence Gateway.

Residency identifies where data is stored or processed; payload is application business content; telemetry describes operation; metadata describes managed resources; persistent state survives the relevant application execution (Hosting overview, Monitoring overview).

Sources for this section (2)

Key facts

Control-plane data
Detail
Organization, identity and design metadata belong to management.
Existing Object Store
Detail
An application-region move does not relocate its original store.
Separate instances
Detail
Monitoring data is not shared between Platform instances.
Advanced/Titanium
Detail
Log and metric storage follows the control-plane region.
Subscription change
Detail
Preserve required logs before the documented storage-clearing change.
MQ fallback
Detail
Standard-queue failover can place data outside the primary country.
Fabric persistence
Detail
The configured PostgreSQL database stores persistent values.
Application deletion
Detail
Monitoring logs can remain after Runtime Manager deletes the app.
Searchable deletion
Detail
Whole indices can cover more dates than requested.
Sources for this section (6)
  • When application deletion leaves required Monitoring logs retained for an Advanced subscriber, what documented route can retrieve them?
  • Why might searchable-log deletion on Hyperforce affect dates outside the requested interval?
  • When reviewing a proposed sensitive-log deletion, what evidence does MuleSoft provide before execution?

The questions are free to read. Answers with their sources and self-grading are included with the pack.

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