Designing APIs using System, Process, and Experience Layers12% of the exam

Layer Responsibilities and Team Ownership

Assign business and technical accountability according to the capability, shared semantics, consumer relationship and expected change impact. Preserve stewardship as teams, versions and organizational needs evolve.

Official exam objective
Assign APIs to layers according to ownership, functional focus, and rate of change.

~7 min read · 8 practice questions

What the exam expects

  • Distinguish business ownership from technical stewardship.
  • Select ownership candidates from data, capability and consumer responsibilities.
  • Resolve cross-platform and cross-department accountability without changing API responsibilities.
  • Adapt ownership to organizational norms and continued change.

A business owner directs the API's business scope and evolution; a technical owner implements and operates it; an SLA states service commitments; an OLA supports operational objectives; stewardship keeps assets healthy beyond immediate feature delivery.

Key facts

Business accountability
Detail
Scope, SLA, release direction and evolution.
Technical accountability
Detail
Implementation, OLA and underlying dependencies.
Definitions authority
Detail
Governs entities, attributes and relationships.
Data-quality authority
Detail
Maintains quality of actual records.
Composite business ownership
Detail
Value-stream owner or continuing cross-organizational group.
Composite technical ownership
Detail
Consider expected platform impact or integration services.
Experience business owner
Detail
Align with the consumer/partner relationship.
Shared technical owner
Detail
Possible when the Process service team also owns the consumer relationship.
Change without continuity
Detail
Assign current technical ownership when the API changes.
Stewardship support
Detail
Guidelines, financing and incentives address long-term asset health.
Sources for this section (4)
  • Why can stewardship need an explicit funding arrangement even for a useful API?
  • When selecting a promising leader for a complex composite service, how can the organization support that candidate?
  • Why is growing the API count an insufficient investment justification outside experimentation?

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

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