AZ-700 final study guide covering Azure Firewall, Firewall Manager, secured hubs, WAF policies, and final exam review checklist.

AZ-700 study guide index for Azure Network Engineer Associate covering core infrastructure, connectivity, app delivery, private access, security, and troubleshooting.

JIT password migration and High-Scale Compatibility mode for Azure AD B2C to Microsoft Entra External ID are now GA. How the custom authentication extension, Graph APIs, and HSC coexistence model work.

How Microsoft Entra Conditional Access now evaluates AI agents: subjects vs audiences, the three agent access patterns, and how to scope policies to agents with custom security attributes instead of managing them one by one.

A practical Microsoft Entra ID security checklist for Custom controls migration, credential registration Conditional Access, and SSPR registered-method enforcement.

What changed with passkeys in Microsoft Entra External ID, when it was released, how it compares with workforce tenants, and what can be automated with PowerShell.

Claude Fable 5 pricing, model capabilities, availability, safeguards, and what I would check before using it for agentic coding or enterprise workflows.

How to set up Request Files in SharePoint and OneDrive, why it is safer than normal external sharing, and what to check when the option is missing.

Part 2 of the Agent ID governance series: practical design patterns for combining Microsoft Entra Agent ID access packages with Privileged Identity Management (PIM) for privileged access.

How to assign access packages to Microsoft Entra Agent IDs, including agent self-request, sponsor on-behalf requests, direct admin assignments, and time-bound access lifecycle patterns.

Azure Files Entra-Only identities are now GA for SMB. This guide explains what changed, how Entra Kerberos works, and which identity types are involved in real-world access and authorization.

How to find, install, and connect the A365 Observability data connector in Microsoft Sentinel to get visibility into AI agent behavior across Agent 365, AI Foundry, and Copilot.

AI-300 study guide Part 5 covering optimization of generative AI systems — RAG chunking strategies, fine-tuning vs RAG, Azure OpenAI Batch API, semantic caching, model routing, streaming, and latency optimization.

AI-300 study guide Part 4 covering GenAI quality assurance — Azure AI Foundry evaluators, groundedness, relevance, safety metrics, custom evaluators, CI/CD evaluation gates, and OpenTelemetry distributed tracing.

AI-300 study guide Part 3 covering GenAIOps infrastructure — Azure AI Foundry Hub, model catalog deployments, PTU vs serverless, prompt versioning, APIM gateway, and quota management.

AI-300 study guide Part 2 covering the ML model lifecycle — pipeline orchestration, MLflow registry, online and batch endpoints, model monitoring, and deployment strategies.

AI-300 study guide Part 1 covering MLOps infrastructure — Azure ML workspace architecture, RBAC, network isolation, IaC, CI/CD pipelines, and environment management.

AI-103 study guide Part 5 covering Azure AI Search (vector search, hybrid search, semantic ranking, RAG) and Azure AI Document Intelligence — with Python code examples and exam tips.

AI-103 study guide Part 4 covering Azure AI Language Service, CLU, Custom NER, Azure AI Speech, and Translator — with Python code examples and exam tips.

AI-103 study guide Part 3 covering Azure AI Vision Image Analysis 4.0, GPT-4o Vision, Custom Vision, Video Indexer, and image generation.