Knowledge Management Technology and Architecture
This section covers Knowledge Management Technology and Architecture. The exam tests architecture layers, repositories, integration, search, identity, scalability, and technology selection. A reference architecture is a decision aid, not a product blueprint.
Core rules
- A KM architecture separates presentation, application, content and knowledge services, and infrastructure. Clear layers make replacement and integration possible.
- Content repositories need metadata models, version control, permissions, retention, and lifecycle states. A shared drive is storage, not a knowledge system.
- Integration through APIs, single sign-on, and master data prevents duplicate identities and fragmented search.
- Architecture decisions should follow use cases and information flows, not vendor feature lists. Consider usability, total cost, security, scalability, and exit strategy.
- A knowledge graph or semantic layer can unify entities across systems, but only with entity governance and quality controls.
Worked example
A company has separate intranet, wiki, document system, and service desk. Leaders propose replacing all with one suite. The reasoning should test requirements first: unified search, consistent metadata, SSO, and APIs may deliver more value than rip-and-replace. A layered design can keep authoritative sources, index them centrally, and govern shared taxonomy.
Traps
Do not start with a tool. Do not confuse feature count with fit. Do not ignore integration and information architecture. Do not pilot without a scale and ownership plan.