What will you in DP-900 Azure Data Fundamentals Exam Prep In One Day Course
-
Understand core data concepts: relational, non-relational, big data, and analytics workloads
-
Navigate Microsoft Azure data services: Azure SQL Database, Cosmos DB, Data Lake, and Synapse Analytics
-
Implement simple relational data solutions and query data with SQL
-
Explore non-relational data models and work with Azure Cosmos DB APIs
-
Describe analytics workloads and ingest data using Azure Data Factory and Synapse pipelines
Program Overview
Module 1: Introduction to Data Fundamentals & Azure
⏳ 30 minutes
-
Overview of data concepts and the DP-900 exam objectives
-
Azure portal tour and setting up a free account
Module 2: Core Data Concepts
⏳ 45 minutes
-
Relational vs. non-relational data, structured vs. semi-structured data
-
Basics of transactional and analytical workload differences
Module 3: Relational Data in Azure
⏳ 1 hour
-
Provisioning Azure SQL Database and executing SQL queries
- Understanding SQL serverless, managed instances, and Elastic Pools
Module 4: Non-Relational Data in Azure
⏳ 1 hour
-
Introduction to Azure Cosmos DB and its multi-model APIs (SQL, MongoDB, Cassandra)
-
Data partitioning, consistency levels, and querying with the SQL API
Module 5: Data Analytics Workloads
⏳ 45 minutes
-
Overview of Azure Synapse Analytics and Data Lake Storage Gen2
-
Differences between on-demand vs. provisioned compute and storage
Module 6: Data Ingestion & Orchestration
⏳ 45 minutes
-
Building ETL/ELT pipelines with Azure Data Factory
-
Mapping data flows, triggers, and monitoring pipeline runs
Module 7: Exploring and Visualizing Data
⏳ 45 minutes
-
Querying data with serverless SQL pools and Spark pools in Synapse
-
Connecting Power BI to Azure data services for visualization
Module 8: Exam Preparation & Best Practices
⏳ 30 minutes
-
Sample DP-900 exam questions and study tips
-
Securing data with Azure RBAC, encryption, and compliance features
Get certificate
Job Outlook
-
Azure data fundamentals open doors to roles such as Data Analyst, Data Engineer (entry level), and Azure Administrator
-
Essential knowledge for organizations adopting cloud-native data solutions and analytics platforms
-
Provides a stepping-stone to associate-level certifications (DP-200/201, DP-203) and specialized Azure roles
-
Valuable for IT professionals transitioning into cloud and data-focused career paths
Explore More Learning Paths
Boost your Microsoft Azure knowledge and prepare for certification exams with these carefully selected courses, designed to help you gain practical skills in cloud computing and AI fundamentals.
Related Courses
-
Preparing for AI-900: Microsoft Azure AI Fundamentals Exam Course – Get hands-on guidance to pass the AI-900 exam and understand Azure AI services.
-
Microsoft Azure AI Fundamentals (AI-900) Exam Prep Specialization Course – Strengthen your foundational AI knowledge and prepare for the official certification exam.
-
Microsoft Azure AI Fundamental Certification Course – Learn Azure AI concepts and practical applications to earn your certification and advance your cloud career.
Related Reading
-
What Is Data Management? – Understand how data management principles integrate with cloud platforms like Azure to support analytics and AI solutions.
