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/mlops-fundamentals-overview.md

@@ -1,6 +1,6 @@
 # MLOps Fundamentals - Lifecycle and Principles
 
-**Last updated:** 2026-02
+**Last updated:** 2026-04
 **Verified:** MCP 2026-04
 **Status:** GA
 **Category:** MLOps & GenAIOps
@@ -296,7 +296,7 @@ jobs:
 ### DevOps-verktøy
 
 
-### DevOps for Machine Learning — Azure DevOps Integration (2026)
+### DevOps for Machine Learning — Azure DevOps Integration (Verified MCP 2026-04)
 
 **Azure Pipelines + Azure ML** (how-to-devops-machine-learning):
 
@@ -306,27 +306,36 @@ Automate the ML lifecycle via Azure DevOps pipelines:
 3. Model deployment (public/private web service)
 4. Monitoring (performance, data drift)
 
-**Azure DevOps pipeline YAML pattern**:
+**Prerequisite**: Python >=3.10 required for Azure ML SDK v2 scripts. Install [Azure Machine Learning extension for Azure Pipelines](https://marketplace.visualstudio.com/items?itemName=ms-air-aiagility.azureml-v2) from VS Marketplace.
+
+**Authentication options** (Verified MCP 2026-04):
+- **Azure Resource Manager service connection** (recommended) — use with `AzureMLJobWaitTask@1` from Azure ML extension
+- **Generic service connection** — use with `InvokeRESTAPI` task calling REST API directly (api-version: `2024-04-01`)
+
+**Azure DevOps pipeline YAML pattern** (ARM service connection):
 ```yaml
 - task: AzureCLI@2
+  name: submit_azureml_job_task
   inputs:
     azureSubscription: $(service-connection)
+    scriptType: bash
     inlineScript: |
-      job_name=$(az ml job create --file pipeline.yml -g $(resource-group) -w $(workspace) --query name -o tsv)
+      job_name=$(az ml job create --file pipeline.yml -g $(resource-group) -w $(workspace) --query name --output tsv)
       echo "##vso[task.setvariable variable=JOB_NAME;isOutput=true;]$job_name"
 
 - job: WaitForJobCompletion
-  pool: server  # Server job — no agent costs
+  pool: server  # Server job — no agent costs, runs on pipeline machine
+  dependsOn: SubmitAzureMLJob
   steps:
-  - task: AzureMLJobWaitTask@1  # From Azure ML extension
+  - task: AzureMLJobWaitTask@1  # From Azure ML extension (not "classic")
     inputs:
       serviceConnection: $(service-connection)
-      azureMLJobName: $(azureml_job_name)
+      resourceGroupName: $(resource-group)
+      azureMLWorkspaceName: $(workspace)
+      azureMLJobName: $(azureml_job_name_from_submit_job)
 ```
 
-**Authentication options**:
-- Azure Resource Manager service connection (recommended with Azure ML extension)
-- Generic service connection (uses InvokeRESTAPI task)
+**Note**: `AzureMLJobWaitTask@1` runs as a server job (no agent pool costs). Max wait: 2 days (Azure DevOps hard limit). Use `AzureMLJobWaitTask@1`, not the legacy "Machine Learning (classic)" extension.
 
 **MLOps maturity model**: Manual → Partial automation → Full CI/CD → Full MLOps with monitoring
 
@@ -495,5 +504,5 @@ Er dette en POC?
 
 ### Sist verifisert
 
-Alle kilder verifisert via `microsoft-learn` MCP-server **2026-02-04**.
+Alle kilder verifisert via `microsoft-learn` MCP-server **2026-04**.
 Azure ML dokumentasjon gjelder **API v2 (current)** med mindre annet er nevnt.