chore(ms-ai-architect): refresh KB medium-bucket — 74 files [skip-docs]

KB-currency refresh (medium priority, 2026-06-19) via /architect:kb-update.
74 medium-prioritets filer re-verifisert mot Microsoft Learn (MCP) — delegert
til 15 parallelle Opus-subagenter (3 bølger) gruppert etter delt kilde, med
disjunkte fil-sett. Verifisert i hovedkontekst (scope-sjekk + diff-review av
de faktatunge gruppene + tester).

Hovedendringer (faktuelle korreksjoner + currency):
- Azure AI Search semantic ranker: TILGJENGELIG PÅ ALLE TIERS (også Free/Basic
  m/ gratis månedlig kvote) — gammel KB sa feilaktig "kun S1+". Korrigert i
  tier-tabell, anti-patterns og beslutningstabell (azure-ai-search-setup).
- APIM score-threshold = DISTANSE (lavere = strengere): tuning-tabellen i
  rag-caching-optimization hadde retningen baklengs — invertert til korrekt.
- Agentic retrieval GA/preview-nyanse presisert (hovedkontekst-korreksjon mot
  agentic-retrieval-how-to-migrate): GA via REST 2026-04-01 returnerer EKSTRAKTIV
  grounding (references + activity), IKKE syntetiserte svar. Answer synthesis,
  ikke-minimal reasoning effort (LLM query planning) og multi-turn messages
  forblir preview (2026-05-01-preview). Subagent hadde overforenklet til "hele
  kjernepipelinen GA"; rettet i agentic-rag-patterns + citation-tracking.
- Copilot Studio modell-tabeller (platforms/copilot-studio): fjernet Claude Opus
  4.5 + GPT-5.2 (borte fra kilde), lagt til Claude Sonnet 4.6/Opus 4.6 (GA),
  Opus 4.7 + Mistral Medium 3.5 (experimental); GPT-5 Reasoning/Auto = preview;
  A2A GA (apr 2026).
- Computer Use (CUA): Copilot Studio GA 2026-05-07; 4 modeller m/ tier/status
  (OpenAI CUA + Sonnet 4.5 GA, Sonnet 4.6 + Opus 4.6 experimental); 5 credits/
  steg standard, 15 premium; US-only region-krav FJERNET i GA-dok; Cloud PC pool
  + Hosted browser + bring-your-own-machine.
- Azure AI Search REST API-versjoner bumpet: 2025-09-01 -> 2026-04-01 (stabil),
  2025-11-01-preview -> 2026-05-01-preview (hybrid-search, rag-security-rbac,
  chunking).
- Power Automate-integrasjon: trigger "Run a flow from Copilot" -> "When an agent
  calls the flow"; App Service innebygd MCP (preview) lagt til.
- M365 Copilot-manifest v1.26 -> v1.28 (GA, mai) / v1.29 dokumentert (juni);
  "Tenant graph grounding" -> "Work IQ".
- Speech fast transcription 2t/300MB -> 5t/500MB; multilingual 14 -> 15 locales
  (+ pt-BR). Content Understanding reasoning preview -> GA (v1.0, 2025-11-01).
- Security Copilot E5 -> E5+E7. Død Databricks-URL ci-cd/best-practices ->
  ci-cd/flows. Prompt Flow retirement (2027-04-20 -> MAF) notert der den
  presenteres som go-forward. Gateway-topologi-tabell-feil rettet.
- Alle 74 Last updated -> 2026-06-19.

Discovery ikke kjørt (historisk kun Databricks-støy) -> 389-telling uendret,
ingen resync. validate 239 PASS, kb-integrity 115/115 (262 orphan-warnings
uendret), gitleaks clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-engineering/references/mlops-genaiops/mlops-teams-collaboration-tools.md

@@ -1,11 +1,11 @@
 # MLOps Team Collaboration and Tools Integration
 
 **Kategori:** MLOps & GenAIOps
-**Sist oppdatert:** 2026-04
+**Sist oppdatert:** 2026-06-19
 **Kilde:** Microsoft Learn, Azure Architecture Center
 **Konfidensgradering:** ⭐⭐⭐⭐⭐ (Verifisert mot offisiell Microsoft-dokumentasjon)
 
-**Verified:** MCP 2026-04
+**Verified:** MCP 2026-06-19
 
 ## Introduksjon
 
@@ -146,7 +146,7 @@ Azure DevOps provides end-to-end project management for ML teams:
 - `azure/login@v2` + `az ml job create` pattern
 - MLOps v2 solution accelerator: `Azure/mlops-v2-gha-demo`
 
-**Databricks CI/CD best practices (Verified MCP 2026-04)**:
+**Databricks CI/CD best practices (Verified MCP 2026-06-19)**:
 - Feature branching with short-lived branches (Gitflow aligned with dev/staging/prod environments)
 - Automated notebook testing before merge (bundle validate + pytest/ScalaTest)
 - MLflow experiment tracking integrated into PR workflows
@@ -677,13 +677,13 @@ Databricks MLOps Stacks demonstrerer best practice for multi-team collaboration:
 
 3. **What is Azure DevOps?**
    URL: https://learn.microsoft.com/en-us/azure/devops/user-guide/what-is-azure-devops
-   Hentet: 2026-04-10
-   Relevans: Azure Boards capabilities, team collaboration features (Verified MCP 2026-04 — new: Azure DevOps MCP Server for natural language project management queries, AI-Enhanced management with Copilot integration)
+   Hentet: 2026-06-19
+   Relevans: Azure Boards capabilities, team collaboration features (Verified MCP 2026-06-19 — new: Azure DevOps MCP Server for natural language project management queries, AI-Enhanced management with Copilot integration)
 
-4. **Best Practices and Recommended CI/CD Workflows on Databricks**
-   URL: https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/best-practices
-   Hentet: 2026-04-10
-   Relevans: MLOps Stacks team collaboration table (Verified MCP 2026-04 — now covers Declarative Automation Bundles, workload identity federation for auth, SQL and dashboard CI/CD workflows)
+4. **CI/CD workflows on Databricks**
+   URL: https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/flows
+   Hentet: 2026-06-19
+   Relevans: MLOps Stacks team collaboration table (Verified MCP 2026-06-19 — `dev-tools/ci-cd/best-practices` ble flyttet til `dev-tools/ci-cd/flows`; siden dekker Declarative Automation Bundles, workload identity federation for auth, SQL and dashboard CI/CD workflows)
 
 5. **Set up MLOps with Azure DevOps**
    URL: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-azureml
@@ -692,8 +692,8 @@ Databricks MLOps Stacks demonstrerer best practice for multi-team collaboration:
 
 6. **Use GitHub Actions with Azure Machine Learning**
    URL: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-github-actions-machine-learning
-   Hentet: 2026-04-10
-   Relevans: GitHub Actions integration patterns (Verified MCP 2026-04 — OIDC recommended with Entra app or user-assigned managed identity)
+   Hentet: 2026-06-19
+   Relevans: GitHub Actions integration patterns (Verified MCP 2026-06-19 — OIDC recommended with Entra app or user-assigned managed identity)
 
 7. **MLOps Workflows on Azure Databricks**
    URL: https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/mlops-workflow