Azure AI-900 vs DP-900: Which Microsoft Fundamentals Cert Should You Start With?

What Are Azure AI-900 and Azure DP-900?

Both are Microsoft Azure Fundamentals certifications — the same level, the same $99 price, the same no-expiry policy, and the same foundational difficulty. They are different certifications designed for different audiences, covering different Azure service families.

Azure AI Fundamentals (AI-900) covers artificial intelligence and machine learning: AI concepts, ML principles, computer vision, natural language processing, and generative AI on Azure. It is designed for professionals working with or evaluating AI solutions.

Azure Data Fundamentals (DP-900) covers data and database concepts: relational and non-relational data, batch and streaming analytics, and Azure data services (Azure SQL, Cosmos DB, Azure Synapse Analytics, Azure Databricks, Azure Stream Analytics). It is designed for professionals working with data storage and analytics solutions.

Neither certification requires the other as a prerequisite. Both are available through Microsoft's certification portal and have full details at learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals (AI-900) and the equivalent DP-900 page.

How Do the Exam Formats Compare?

• Azure AI-900: 40–60 questions, 45 minutes testing time, $99, passing score 700/1,000, multiple choice + multiple response + drag-and-drop + ordering questions
• Azure DP-900: 40–60 questions, 45 minutes testing time, $99, passing score 700/1,000, same question types

The formats are identical. Both use the same question types, same time limit, same scoring scale, and same pricing. The difference is entirely in subject matter.

What Does Each Exam Test?

Azure AI-900 skill areas:

• AI workloads and considerations (15–20%) — AI use cases, responsible AI principles
• Machine learning fundamentals on Azure (20–25%) — ML types, pipeline, Azure ML, AutoML
• Computer vision on Azure (15–20%) — Azure AI Vision, Custom Vision, Face, Document Intelligence
• NLP on Azure (15–20%) — Azure AI Language, Translator, Speech, Bot Service
• Generative AI on Azure (20–25%) — Foundation models, Azure OpenAI Service, prompt engineering

Azure DP-900 skill areas:

• Core data concepts (25%) — Relational vs. non-relational data, structured vs. unstructured, batch vs. streaming
• Relational data on Azure (20–25%) — Azure SQL Database, Azure SQL Managed Instance, Azure Synapse SQL
• Non-relational data on Azure (15–20%) — Azure Cosmos DB, Azure Blob Storage, Azure Table Storage
• Analytics workloads on Azure (25–30%) — Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Stream Analytics, Microsoft Fabric

There is minimal overlap. AI-900 covers ML at a conceptual level—what training data is, what features are—but does not test Azure data storage or analytics services. DP-900 covers data pipelines and storage at a practical service level but does not test AI model training, generative AI, or computer vision.

Which Is Harder?

Most candidates who have taken both report AI-900 as slightly harder in terms of content breadth—five distinct AI service categories require memorizing more service distinctions than DP-900's more unified data theme. DP-900 has a strong conceptual anchor (data flows from storage to analytics), while AI-900 covers five somewhat independent service families (vision, language, speech, ML, generative AI).

Both have the same preparation time profile: 18 to 24 hours of study for candidates without prior Azure exposure.

Who Should Take AI-900 vs. DP-900?

The decision comes down to what services you work with or aspire to work with:

• Take AI-900 if: You work with or are evaluating AI tools on Azure, you want to understand Azure OpenAI and Microsoft Copilot at a foundational level, you are building toward Azure AI Engineer (AI-102), or your role involves evaluating AI solutions rather than data infrastructure.
• Take DP-900 if: You work with data pipelines, databases, or analytics on Azure, you are building toward Azure Data Engineer (DP-203) or Azure Database Administrator (DP-300), or your primary role involves data storage, ETL, or analytics rather than AI.
• Take both if: You want a complete Azure Fundamentals profile, you work in a role that spans data and AI, or you are building toward Azure certifications in both the AI (AI-102) and data (DP-203, DP-300) tracks.

Which Should You Take First?

If you have decided to take both—the most common scenario for candidates building a comprehensive Azure profile—AI-900 is the stronger first choice for two reasons. First, generative AI (20–25% of AI-900) is the highest-growth skill area in enterprise technology, and building that foundation first is more immediately applicable to most job searches in 2026. Second, AI-900 has broader recognition in current job postings than DP-900, which makes it the more valuable near-term LinkedIn addition while you work toward DP-900 as a second credential.

There is no technical dependency between the two—either can be taken first. The order is a career strategy decision, not a curriculum requirement.

Exam details verified against learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals as of 2026-02-27. Fees and requirements are subject to change — confirm current details at learn.microsoft.com before your exam date.