Power BI Data Analyst
PL-300Prepare, model, visualize, and analyze data with Microsoft Power BI.
DataCertPrep covers 11 current Microsoft exams, from Associate to Expert level, with 1,944published practice questions and domain-by-domain study guides built from each exam's official exam guide.
If you're new to Microsoft, the usual route is to start at the lowest level listed here (PL-300 or AI-103 or AI-300 or DP-600 or DP-700 or DP-750 or DP-800 or SC-300 or AB-620), then move on to the exam that matches your role at the next level. Each exam below lists its domains and how much of the exam each one covers, so you can see where the effort goes before you start.
Prepare, model, visualize, and analyze data with Microsoft Power BI.
Build generative AI apps and agents on Microsoft Foundry, plus vision, text analysis, and information extraction solutions.
Run MLOps and GenAIOps on Azure Machine Learning and Microsoft Foundry.
Design, build, and manage enterprise analytics solutions with Microsoft Fabric.
Build data engineering solutions with Microsoft Fabric: ingestion, transformation, and optimization.
Implement data engineering solutions on Azure Databricks with Unity Catalog and Lakeflow.
Build AI-enabled database solutions across SQL Server, Azure SQL, and Fabric with vectors and RAG.
Design, implement and operate identity and access management with Microsoft Entra: user and hybrid identities, authentication, Conditional Access, workload identities and identity governance.
Build, integrate, and manage advanced, scalable AI agents using Microsoft Copilot Studio, Power Platform, Foundry, and MCP for enterprise-grade solutions.
Architect enterprise agentic-first AI solutions across Copilot Studio, Microsoft Foundry, Power Platform, and Dynamics 365 — from planning and design through deployment, ALM, and responsible AI governance.
Design, build, optimize, and deploy scalable production-ready multi-agent AI systems and workflows across Azure, Microsoft Foundry, Model Context Protocol (MCP), and orchestration frameworks.
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