The correct answer is C because having multiple source code repositories for each team can reinforce fragmentation, duplication, local optimization, and knowledge silos. Transforming local discoveries into global improvements requires mechanisms that make learning visible, reusable, and accessible across the organization. Separate team-specific repositories may be appropriate in some architectures, but as stated here, the practice does not inherently help spread discoveries across teams.

The other options are DevOps-aligned mechanisms for scaling learning. ChatOps can capture operational knowledge, make collaboration visible, and support rapid incident response. Automating standard processes in reusable software helps convert local improvements into repeatable organizational capabilities. Sharing user stories and automated tests as documentation spreads understanding of expected behavior, customer needs, and quality standards.

The broader principle is that high-performing DevOps organizations create feedback loops that allow one team's learning to improve the whole system. Local discoveries should become shared assets, reusable patterns, automation, documentation, and practices. Relevant study guide references: Measuring to Learn; Measuring to Improve; Maintaining Energy and Momentum; Becoming a DevOps Organization.