The correct option is Engineering best practices, code examples, internal documentation, and design pattern references.

This selection represents the kind of authoritative and reusable textual knowledge that a Copilot Enterprise knowledge base can index effectively. Materials like guidelines, architecture decisions, design patterns, and code snippets provide clear context and grounding so Copilot can generate suggestions and reviews that align with your organization’s standards.

Google Cloud Logging exports and Cloud Storage object archives are operational data and bulk storage artifacts that are not well suited for semantic indexing to inform code generation or review. They rarely encode reusable engineering guidance in a structured and enduring way.

Database index snapshots and CI or CD pipeline logs are noisy operational outputs that change frequently and can include sensitive or low value details for code reasoning. They do not provide the stable engineering knowledge that Copilot needs to cite and apply during assistance.

Git LFS managed binary assets are large binaries that Copilot cannot meaningfully parse for natural language or code understanding. These files do not contain the textual guidance or examples that a knowledge base is designed to leverage.

Full AWS Practitioner Certification Question