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>

skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md

@@ -1,7 +1,7 @@
 # Monitoring and Observability for ML Systems
 
 **Kategori:** MLOps & GenAIOps
-**Dato:** 2026-02-04
+**Dato:** 2026-04
 **Kilder:** Microsoft Learn (azure-machine-learning, azure-monitor)
 **Konfidensgrad:** ⭐⭐⭐⭐⭐ (Verifisert mot offisiell Microsoft-dokumentasjon)
 
@@ -300,7 +300,7 @@ create_monitor:
 ### Azure Monitor
 
 
-### Azure Machine Learning Monitoring Architecture (2026)
+### Azure Machine Learning Monitoring Architecture (2026) — Verified (MCP 2026-04)
 
 **Azure Monitor integration**:
 - All metrics in namespace: `Machine Learning Service Workspace`
@@ -630,7 +630,7 @@ Azure Machine Learning Model Monitoring gir production-ready overvåkning av ML-
 
 ## Kilder og verifisering
 
-**Primærkilder** (✅ Verifisert 2026-02-04):
+**Primærkilder** (✅ Verifisert 2026-04):
 1. [Monitor the performance of models deployed to production](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-model-performance?view=azureml-api-2)
 2. [Azure Machine Learning model monitoring](https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-monitoring?view=azureml-api-2)
 3. [Detect and mitigate potential issues using AIOps and machine learning in Azure Monitor](https://learn.microsoft.com/en-us/azure/azure-monitor/aiops/aiops-machine-learning)
@@ -646,5 +646,5 @@ Azure Machine Learning Model Monitoring gir production-ready overvåkning av ML-
 - ⭐⭐⭐⭐ = Basert på Microsoft Learn, men med noe tolkning
 - ⭐⭐⭐ = Community best practices (ikke offisiell Microsoft-guidance)
 
-**Sist verifisert:** 2026-02-04
+**Sist verifisert:** 2026-04
 **Neste review:** Når Azure ML Model Monitoring v3 lanseres (roadmap Q2 2026)