Edoxi’s 8-hour online Microsoft Azure Data Fundamentals Certification programme is designed to help you build a solid foundation in cloud-based data concepts and Microsoft Azure’s core data services. This Azure Data Fundamentals Course is ideal for IT professionals, beginner cloud practitioners, and anyone aiming to understand how modern data ecosystems function within the Azure platform.
Throughout the Microsoft Azure Data Fundamentals Course, you participate in guided lab sessions that place you inside real Azure environments. These hands-on exercises allow you to apply key concepts as you work with Azure SQL Database, Azure Cosmos DB, and other essential data services, strengthening your practical skills in cloud data workflows.
By the end of the programme, you gain the knowledge and confidence required to navigate Azure’s data platform, understand core data concepts, and connect various Azure data services to real-world business scenarios. These capabilities are highly valued in industries such as healthcare, finance, and retail, helping you advance towards roles in cloud data management and successfully prepare for the Azure DP-900 Certification.
Here are your details for the Microsoft Azure Data Fundamentals exam
| Exam Criteria | Details |
| Exam Code | DP-900 |
| Exam Name | Microsoft Azure Data Fundamentals |
| Duration | 90 minutes |
| Number of Questions | 40-60, Multiple Choice Questions |
| Passing Score | 700/1000 |
| Fees | 50 USD in the UAE |
| Certification Validity | Lifetime |
| Exam Administration Authority | Pearson |
You can practice with a real Azure subscription to implement relational and non-relational database solutions for practical experience.
You can access comprehensive Microsoft Learning resources covering essential Azure data concepts, services, and best practices.
You can prepare effectively with practice assessments that mirror the DP-900 certification exam format and question style.
You can work through industry-relevant scenarios exploring Azure storage, data warehousing, and analytics implementations.
You gain practical experience with Azure SQL Database, Cosmos DB, and Synapse Analytics through guided hands-on activities.
You can gain an understanding of data architectures across transactional and analytical workloads with appropriate Azure service selection.
If you work in IT and want to strengthen your understanding of modern data concepts and Azure data services.
If you aim to build foundational skills for data analysis, data engineering, and cloud-based data workflows.
If you have database experience and want to learn how to manage and operate data workloads in Azure.
If you are a developer interested in integrating cloud data solutions into your applications.
If your role involves data-driven decisions, and you want to understand Azure’s analytics capabilities.
If you are starting your career and want essential cloud data knowledge to strengthen your profile.
Edoxi’s 8-hour Microsoft Azure Data Fundamentals Course offers hands-on lab sessions where you can practice implementing various data services. These include
You learn to implement and query an Azure SQL Database using the Azure portal and SQL queries. This helps you understand relational data management in cloud environments.
You learn to create and configure Azure Storage accounts. This helps you store and access various types of non-relational data, including blobs, files, and tables.
You learn to set up an Azure Cosmos DB account, create containers, and perform basic operations. This helps you understand NoSQL database capabilities in Azure.
You learn to implement a basic data warehouse using Azure Synapse Analytics. You also learn to load sample data to understand enterprise analytics capabilities.
You learn to configure Azure Stream Analytics to process streaming data from simulated sources. You also learn to visualise results for real-time decision making.
You learn to create interactive dashboards using Power BI. This helps you to visualise and derive insights from various Azure data sources.
Completing Edoxi’s Microsoft Azure Data Fundamentals (DP-900) Course equips you with essential cloud data knowledge and practical Azure skills. By the end of the course, here are the major outcomes you can achieve
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Join Edoxi’s Microsoft Azure Data Fundamentals (DP-900) Course
Edoxi’s 8-hour online Microsoft Azure Data Fundamentals (DP-900) Training helps you build practical cloud data skills through expert-led sessions, hands-on Azure portal practice, and flexible learning options. Here’s why you should choose Edoxi
You can learn directly from our Microsoft-certified instructors who bring deep industry expertise and provide clear, authoritative guidance throughout your Azure learning journey.
You can get real experience by working directly in the Azure portal. Every concept is reinforced through guided practice and practical lab activities.
You can choose the format that fits your schedule, live online sessions, or customised corporate batches with both group and 1
Edoxi designs tailored Azure programmes that address each organisation’s specific goals, ensuring training aligns with real business needs.
With successful training delivery to leading companies and government organisations across the Middle East, Africa, and Europe, Edoxi is a trusted provider for enterprise-level upskilling.
Beyond technical skills, our training programme emphasises Azure’s real business applications, helping you understand how cloud data solutions drive organisational value.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Manish Rajpal
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.
Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.
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