| Troubleshooting | L37-L42 | Diagnosing and resolving Microsoft Discovery Engine task failures, and locating/using correlation IDs from Activity Logs to debug and trace issues. |
| Best Practices | L43-L50 | Best practices for structuring projects and shared sessions, applying responsible AI, calibrating trust and safety patterns, and planning tool capabilities and compute for Discovery. |
| Decision Making | L51-L58 | Guidance on selecting ACR setup, agent types, pricing/billing, and suitable AI models to design and configure Microsoft Discovery agents effectively. |
| Architecture & Design Patterns | L59-L63 | Designing and implementing advanced shared session patterns in Discovery Engine, including multi-user session management, data sharing, and scalable architecture best practices. |
| Limits & Quotas | L64-L69 | Planning capacity and Azure quotas for Microsoft Discovery deployments, plus required naming conventions and rules for Discovery resources. |
| Security | L70-L84 | Security, encryption, RBAC, managed identities, private networking, supercomputer network hardening, and audit logging for protecting Microsoft Discovery resources. |
| Configuration | L85-L105 | Configuring Discovery workspaces, supercomputers, storage, tools, data handling, and querying operational/indexing logs via Log Analytics, Kusto, and Azure activity logs |
| Integrations & Coding Patterns | L106-L113 | Integrating custom tools/models into Discovery workflows, containerizing them with Docker, calling Discovery Supercomputer REST job APIs, and writing action scripts for action-based tools. |
| Deployment | L114-L120 | Deploying Discovery infrastructure and tools: network-hardened stacks, Bicep-based deployments, REST provisioning of supercomputer resources, and publishing tool images to Azure Container Registry. |