AI & Data
Microsoft AB-100: Human-in-the-Loop Governance for AI Agents
Human-in-the-loop governance is often described as adding an approval button to an AI workflow. That is too narrow. The real…
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Browse practical guides, technical explanations and certification coverage.
Technology Fundamentals
Microsoft AB-100: Observability for Multi-Agent Workflows
A multi-agent workflow can fail while still producing a plausible final answer. One agent may retrieve the wrong source, another…
AI & Data
Microsoft AB-100: Securing Tool Access for Agentic AI
An AI agent becomes materially more powerful when it can call tools. Search, databases, email, ticketing systems, code execution, APIs,…
Technology Fundamentals
Microsoft DP-600: Direct Lake vs Import vs DirectQuery
Choosing a Power BI semantic-model storage mode is an architecture decision, not a tuning checkbox. Import, DirectQuery, and Direct Lake…
AI & Data
Microsoft DP-600: Fabric Data Pipelines and Dataflows Gen2
Microsoft Fabric Data Factory offers several ways to move and transform data, but two components are frequently confused: pipelines and…
AI & Data
Microsoft DP-600: Medallion Architecture in Microsoft Fabric
Medallion architecture organizes analytical data into progressively refined layers, usually called bronze, silver, and gold. The labels are simple, but…
AI & Data
Microsoft DP-600: Fabric Lakehouse Architecture
A Microsoft Fabric lakehouse is more than a place to put Parquet files. It is an analytical architecture that lets…
Technology Fundamentals
Microsoft DP-600: Monitoring and Optimizing Fabric Capacity
Microsoft Fabric capacity is the shared compute foundation behind workloads such as data engineering, warehouses, semantic models, data science, and…
Technology Fundamentals
Microsoft DP-700: Incremental Data Loads in Fabric
Incremental loading is one of the most important techniques for keeping analytical data current without moving the entire source dataset…
AI & Data
Microsoft DP-700: Spark Notebooks in Microsoft Fabric
Notebooks are one of the most flexible ways to work with Apache Spark in Microsoft Fabric. They let a data…
AI & Data
Microsoft AI-300: Generative AI MLOps in Azure
Generative AI changes the operating model of machine learning. A conventional model release can often be described in terms of…
AI & Data
Microsoft AI-300: Managing Model and Data Drift
A machine-learning model can remain technically available while becoming less useful. The endpoint responds, latency stays normal, and error rates…
AI & Data
Microsoft AI-300: Model Evaluation & Monitoring in Microsoft Foundry
Putting a generative AI application into production creates two separate questions. The first is operational: is the service available, responsive,…
AI & Data
Microsoft DP-700: Reliable Fabric Data Pipelines
A data pipeline is reliable when a team can trust it to move and transform data repeatedly without turning every…
AI & Data
Microsoft DP-700: Fabric Lakehouse Data Quality
A lakehouse becomes valuable only when people can trust the data that moves through it. Microsoft Fabric gives teams a…