DP-900 Azure Data Fundamentals Exam Prep In One Day Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment. This intensive one-day course is expertly designed to prepare beginners for the DP-900 Azure Data Fundamentals exam. With a clear focus on Microsoft's official exam objectives, the course blends conceptual learning with hands-on lab demonstrations to build confidence in core data concepts and Azure services. Over approximately 6 hours of focused content, learners will explore relational and non-relational data, analytics workloads, and data orchestration tools in Azure. Each module aligns with the exam domains, featuring practical demos using the Azure portal. Ideal for aspiring data professionals, this course delivers a concise yet comprehensive foundation in cloud data services, setting the stage for further certification and career advancement in cloud data roles.
Module 1: Introduction to Data Fundamentals & Azure
Estimated time: 0.5 hours
- Overview of data concepts and the DP-900 exam objectives
- Azure portal tour
- Setting up a free Azure account
Module 2: Core Data Concepts
Estimated time: 0.75 hours
- Relational vs. non-relational data
- Structured vs. semi-structured data
- Transactional workload characteristics
- Analytical workload characteristics
Module 3: Relational Data in Azure
Estimated time: 1 hours
- Provisioning Azure SQL Database
- Executing SQL queries
- Understanding SQL serverless
- Managed instances and Elastic Pools
Module 4: Non-Relational Data in Azure
Estimated time: 1 hours
- Introduction to Azure Cosmos DB
- Multi-model APIs (SQL, MongoDB, Cassandra)
- Data partitioning and consistency levels
- Querying with the SQL API
Module 5: Data Analytics Workloads
Estimated time: 0.75 hours
- Overview of Azure Synapse Analytics
- Data Lake Storage Gen2
- On-demand vs. provisioned compute
- Storage options in Azure
Module 6: Data Ingestion & Orchestration
Estimated time: 0.75 hours
- Building ETL/ELT pipelines with Azure Data Factory
- Mapping data flows
- Setting triggers
- Monitoring pipeline runs
Module 7: Exploring and Visualizing Data
Estimated time: 0.75 hours
- Querying with serverless SQL pools
- Using Spark pools in Synapse
- Connecting Power BI to Azure data services
- Data visualization best practices
Module 8: Exam Preparation & Best Practices
Estimated time: 0.5 hours
- Sample DP-900 exam questions
- Study tips and strategies
- Securing data with Azure RBAC
- Encryption and compliance features
Prerequisites
- Basic understanding of computing concepts
- Familiarity with cloud computing (helpful but not required)
- Access to a web browser and internet connection
What You'll Be Able to Do After
- Understand core data concepts including relational and non-relational data
- Navigate and utilize key Azure data services like SQL Database and Cosmos DB
- Implement and query simple relational data solutions using SQL
- Describe and differentiate data analytics workloads and services
- Prepare confidently for the DP-900 certification exam