AZ DP-900 Complete Guide 2026: Master Data Fundamentals

What is AZ DP-900?

The Microsoft AZ Data Fundamentals (DP-900) certification validates your foundational knowledge of core data concepts and how they are implemented using AZ data services. It's the perfect starting point for anyone interested in data careers.

DP-900 is a foundational-level certification that requires no prior AZ experience. It covers the basics of relational and non-relational data, data analytics, and the AZ services used to work with data.

Exam Format & Details

Question Types

The DP-900 exam includes several question formats:

• Multiple Choice: Select ONE correct answer from options
• Multiple Response: Select ALL answers that apply
• Drag and Drop: Match items or arrange in order
• Hot Area: Click on the correct area in an image or diagram
• True/False: Determine if statements are correct

Exam Domains Breakdown

The DP-900 exam covers four main domains. Focus your study time according to these weights.

Key Services to Master

AZ SQL Family

• AZ SQL Database: Fully managed PaaS database with built-in high availability
• AZ SQL Managed Instance: Near 100% SQL Server compatibility with PaaS benefits
• SQL Server on AZ VMs: Full control with IaaS, lift-and-shift migrations
• AZ Database for MySQL/PostgreSQL: Managed open-source databases

AZ Cosmos DB

• Multi-model database: Supports multiple APIs (SQL, MongoDB, Cassandra, Gremlin, Table)
• Global distribution: Replicate data across AZ regions
• Consistency levels: Five consistency options from strong to eventual
• Partitioning: Automatic horizontal scaling with partition keys
• Low latency: Single-digit millisecond read/write latency

AZ Storage Services

• Blob Storage: Object storage for unstructured data (images, videos, backups)
• Data Lake Storage Gen2: Hierarchical namespace for big data analytics
• AZ Files: Managed file shares accessible via SMB protocol
• Table Storage: NoSQL key-value store for semi-structured data
• Queue Storage: Message queuing for asynchronous communication

Analytics Services

• AZ Synapse Analytics: Unified analytics platform (formerly SQL Data Warehouse)
• AZ Databricks: Apache Spark-based analytics platform
• AZ HDInsight: Managed Hadoop, Spark, Kafka clusters
• AZ Data Factory: Cloud ETL and data integration service
• Power BI: Business intelligence and data visualization

Core Data Concepts

Types of Data

• Structured Data: Organized in tables with fixed schema (SQL databases)
• Semi-Structured Data: Has some organization but flexible schema (JSON, XML)
• Unstructured Data: No predefined structure (images, videos, documents)

Transactional vs Analytical Workloads

• OLTP (Online Transaction Processing): High-volume, quick transactions. Example: Order processing, banking
• OLAP (Online Analytical Processing): Complex queries on large datasets. Example: Business intelligence, reporting

Batch vs Real-Time Processing

• Batch Processing: Process large volumes of data at scheduled intervals
• Real-Time (Stream) Processing: Process data as it arrives with minimal latency

Relational Database Concepts

• Tables: Store data in rows (records) and columns (fields)
• Primary Key: Unique identifier for each row
• Foreign Key: Links tables together through relationships
• Normalization: Organizing data to reduce redundancy
• SQL: Structured Query Language for querying and managing data

Recommended Study Strategy

Phase 1: Foundation (Week 1)

• Complete Microsoft Learn path: "AZ Data Fundamentals"
• Understand the differences between data types
• Learn basic relational database concepts
• Explore the AZ portal and locate data services

Phase 2: AZ Services (Week 2)

• Deep dive into AZ SQL Database features
• Understand AZ Cosmos DB APIs and use cases
• Learn AZ Storage services and when to use each
• Explore AZ Synapse Analytics capabilities

Phase 3: Practice & Review (Weeks 3-4)

• Take practice exams and identify weak areas
• Review Microsoft documentation for unclear topics
• Watch video tutorials on complex concepts
• Target 85%+ on practice tests before real exam

Exam Day Tips

• Know Service Use Cases: Understand when to use SQL Database vs Cosmos DB vs Blob Storage
• Understand Pricing Models: DTU vs vCore, Reserved Capacity, consumption-based
• Consistency Levels: Know Cosmos DB's five consistency levels and their trade-offs
• Read Questions Carefully: Look for keywords like "structured data", "global distribution", "real-time"
• Eliminate Wrong Answers: Use process of elimination for multiple choice
• Time Management: You have about 1 minute per question - don't spend too long on any one question
• Flag and Return: Mark uncertain questions and revisit them at the end

Frequently Asked Questions

What is the passing score for AZ DP-900?

The passing score is 700 out of 1000. Questions are weighted differently based on complexity.

Do I need any prerequisites for DP-900?

No prerequisites are required. DP-900 is a foundational exam designed for beginners with no prior AZ or data experience. Basic computer literacy is helpful.

Should I take DP-900 before DP-100?

While not required, DP-900 provides a solid foundation in data concepts that can help with DP-100 preparation. If you're new to data, start with DP-900. If you already have data science experience, you can go directly to DP-100.

How long should I study for DP-900?

Most candidates need 2-4 weeks of dedicated study. If you already understand basic data concepts or have IT experience, you might be ready in 1-2 weeks.

Is DP-900 easier than AZ-900?

Both are foundational exams with similar difficulty. DP-900 focuses specifically on data concepts, while AZ-900 covers broader AZ services. If you're interested in data careers, DP-900 is more relevant.

What career paths does DP-900 support?

DP-900 is a great starting point for Data Analyst, Database Administrator, Data Engineer, and Business Intelligence roles. It's also valuable for IT professionals who work with data teams.

ExamCert Team

Cloud-certified professionals helping you pass your certification exams.