Enroll Course: https://www.udemy.com/course/ms_dp_900/
Are you looking to solidify your understanding of Microsoft Azure’s data services and prepare for the DP-900 certification? Look no further than the “Microsoft Azure Data (DP-900) Exam Questions Apr – 2025” course on Udemy. This course is an invaluable resource for anyone aiming to demonstrate their foundational knowledge of core data concepts and Azure’s data solutions.
The course meticulously breaks down the DP-900 exam objectives, providing a clear roadmap for learning. It begins by covering the fundamental “Core Data Concepts,” explaining how data is represented, from structured and semi-structured to unstructured formats. You’ll gain insights into various data storage options, common file formats, and different types of databases, including transactional and analytical workloads. The course also clarifies the roles and responsibilities involved in data management, such as database administrators, data engineers, and data analysts.
A significant portion of the course is dedicated to “Considerations for Relational Data on Azure.” This section dives deep into relational concepts, the importance of normalization, and essential SQL statements. Crucially, it introduces you to Azure’s relational data services, including the Azure SQL family (Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines) and Azure database services for open-source systems. This provides a solid understanding of how to manage structured data within the Azure ecosystem.
Furthermore, the course effectively addresses “Considerations for Working with Non-Relational Data on Azure.” You’ll explore the capabilities of Azure storage services like Blob storage, File storage, and Table storage. A key highlight is the in-depth look at Azure Cosmos DB, its use cases, APIs, and how it handles diverse non-relational data needs.
Finally, the “Analytics Workload on Azure” module equips you with knowledge of large-scale analytics, data ingestion, processing, and various analytical data stores. It introduces powerful tools like Azure Databricks and Microsoft Fabric, and delves into real-time data analytics, differentiating between batch and streaming data. The course also provides an excellent overview of data visualization using Microsoft Power BI, covering its capabilities, data models, and appropriate visualization techniques.
While the syllabus is concise, the detailed overview of topics covered ensures a thorough preparation. This course is highly recommended for its clear explanations, comprehensive coverage of DP-900 objectives, and practical insights into Azure’s data landscape. It’s an excellent starting point for anyone aspiring to work with data on Microsoft Azure.
Enroll Course: https://www.udemy.com/course/ms_dp_900/