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docs(architect): weekly KB update — 52 files refreshed (2026-04)

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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>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-10 11:31:11 +02:00
commit be4925a8ff
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skills/ms-ai-engineering/references/mlops-genaiops/data-drift-monitoring-detection.md
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# Data Drift Monitoring and Detection
**Last updated:** 2026-02
**Last updated:** 2026-04
**Verified:** MCP 2026-04
**Status:** GA
**Category:** MLOps & GenAIOps
@ -350,7 +350,7 @@ Hvis kunden bruker legacy `DataDriftDetector` (azureml-datadrift SDK):
## Kilder og verifisering
**Verified (Microsoft Learn MCP, 2026-02):**
**Verified (Microsoft Learn MCP, 2026-04):**
- Azure Machine Learning model monitoring concept: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-monitoring?view=azureml-api-2
- Monitor model performance in production: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-model-performance?view=azureml-api-2
- Data drift (v1, deprecated): https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-datasets?view=azureml-api-1
@ -368,7 +368,7 @@ Hvis kunden bruker legacy `DataDriftDetector` (azureml-datadrift SDK):
**Unique Sources:** 12 Microsoft Learn URLs
### Azure ML Model Monitoring — Data Drift Detection (2026)
### Azure ML Model Monitoring — Data Drift Detection (2026) — Verified (MCP 2026-04)
**Model monitoring signals** (out-of-box for online endpoints):