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Codecademy

DP-900: Microsoft Azure Data Fundamentals v1.1

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Overview

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Study for the DP-900 Microsoft Azure data fundamentals certification exam covering cloud data services, analytics solutions, business intelligence and core data concepts.

Syllabus

  • Describe core data concepts
    • <p>This track provides a foundational understanding of data types, storage solutions, and analytics in Microsoft Azure. Learn to manage structured, semi-structured, and unstructured data; explore tools like Power BI, Azure Analysis Services, and Stream Analytics. Gain practical insights into OLTP and OLAP, data pipelines, and storage models to support modern data-driven solutions.</p>
  • Describe considerations for working with non-relational data on Azure
    • <p>In this track, Explore relational and non-relational databases, data normalization, and partitioning strategies. Learn to configure and optimize Azure MySQL, PostgreSQL, and SQL Server solutions. Gain hands-on experience with Azure SQL Database, Managed Instances, and VMs, focusing on performance, scalability, security, and migration strategies for enterprise-grade cloud data management.</p>
  • Describe an analytics workload on Azure
    • <p>In this track Master Azure’s diverse storage solutions, from Blob, File, and Data Lake Storage to NoSQL options like Table Storage and Cosmos DB. Learn to design, secure, and optimize scalable cloud storage architectures, integrate with APIs, and implement real-world solutions using MongoDB, Cassandra, Gremlin, and vector database models.</p>
  • Azure Data Services: Ingestion, Transformation, and Business Intelligence
    • <p>This track introduces the core concepts and tools for modern data analytics using Azure. You’ll explore data ingestion, processing, and transformation using services like Azure Data Factory, Synapse, HDInsight, and Databricks. Learn to structure and manage data for scalable analytics, automate workflows, and visualize insights with Power BI. Whether you&#39;re building foundational knowledge or enhancing your skills in cloud-based data solutions, these courses equip you to turn raw data into actionable intelligence.</p>
  • Take the Practice Exam
    • <p>The Practice tests provide a structured way to reinforce learning and assess your understanding of course material. It helps you build confidence, Familiarize you with question formats, and identify knowledge gaps, so you can focus your review on areas that need improvement.</p>
  • Schedule your Exam
    • After completing your studies, schedule your exam with the third-party provider.
  • Upload Certification
    • After you receive notification that you’ve been certified, upload your certification to achieve completion.
  • Practice Labs
    • Complete hands-on exercises designed to build a rounded collection of competencies and skills.

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