docs(architect): weekly KB update — 52 files refreshed (2026-04)
Key content changes: - MLOps: MLflow 3 scorers expanded (RetrievalRelevance, Fluency, multi-turn judges) - MLflow 3 A/B eval: mirror_traffic GA confirmed, new scorer catalog - CI/CD: OIDC auth replaces deprecated --sdk-auth (Azure ML GitHub Actions) - Agent framework A2A: updated SDK patterns (A2ACardResolver, BearerAuth) - AG-UI backend tool rendering: accurate TOOL_CALL_* event shapes - Computer Use agents: US region requirement, credentials patterns - Purview governance: bulk term edit, expire/delete workflows - CAF AI Secure: 3-phase structure confirmed current - Copilot Studio: Claude Sonnet 4.5/4.6 GA, new orchestration controls - M365 manifest: v1.26 GA (April 2026), copilotAgents node - Power Platform: agent flow capacity enforcement corrected - Azure Monitor: Simple Log Alerts GA, AMBA for policy-based alerting - Security Copilot: SCU capacity model (400 SCU/1000 users) - EU Data Boundary: all EU + EFTA countries confirmed - gateway-multi-backend: added 4th topology, subscription-level quota note Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# Model Versioning and Registry Management
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**Last updated:** 2026-02
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**Last updated:** 2026-04
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**Verified:** MCP 2026-04
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**Status:** GA
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**Category:** MLOps & GenAIOps
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@ -306,6 +306,8 @@ Azure AI Foundry Model Catalog bruker samme underliggende registry-infrastruktur
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### Power Platform AI
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**Scenario:** Registrer Custom AI Builder model i Azure ML Registry for reuse.
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> **Merk (Verified MCP 2026-04):** For production online endpoint deployments anbefaler Microsoft nå Microsoft Entra token-based authentication (`aad_token`) fremfor key-based authentication for forbedret sikkerhet via identity-based access control.
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- Tren modell i AI Builder
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- Eksporter modell (hvis tilgjengelig)
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- Registrer i Azure ML Registry som MLflow model
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@ -511,7 +513,7 @@ az ml model list --registry-name my-registry --query "[?created<'$cutoff_date'].
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## Kilder og verifisering
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### Microsoft Learn (Verified via MCP research, February 2026)
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### Microsoft Learn (Verified via MCP research, April 2026)
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1. **Share models, components, and environments across workspaces with registries**
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- URL: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-share-models-pipelines-across-workspaces-with-registries?view=azureml-api-2
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@ -566,7 +568,7 @@ az ml model list --registry-name my-registry --query "[?created<'$cutoff_date'].
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- **Document fetches:** 2 (Full registry guide, MLflow management guide)
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- **Code samples:** 1 (MLflow Python SDK examples)
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- **Unique sources:** 7 Microsoft Learn articles
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- **Research timestamp:** February 2026
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- **Research timestamp:** April 2026
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---
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