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Chapter 1: Describe core data concepts-Describe ways to represent data-Describe features of structured data
Chapter 2: Describe core data concepts-Describe ways to represent data-Describe features of semi-structured
Chapter 3: Describe core data concepts-Describe ways to represent data-Describe features of unstructured data
Chapter 4: Describe core data concepts-Identify options for data storage-Describe common formats for data files
Chapter 5: Describe core data concepts-Identify options for data storage-Describe types of databases
Chapter 6: Describe core data concepts-Describe common data workloads-Describe features of transactional workloads
Chapter 7: Describe core data concepts-Describe common data workloads-Describe features of analytical workloads
Chapter 8: Describe core data concepts-Identify roles and responsibilities for data workloads-Describe responsibilities for database administrators
Chapter 9: Describe core data concepts-Identify roles and responsibilities for data workloads-Describe responsibilities for data engineers
Chapter 10: Describe core data concepts-Identify roles and responsibilities for data workloads-Describe responsibilities for data analysts
Chapter 11: Identify considerations for relational data on Azure-Describe relational concepts-Identify features of relational data
Chapter 12: Identify considerations for relational data on Azure-Describe relational concepts-Describe normalization and why it is used
Chapter 13: Identify considerations for relational data on Azure-Describe relational concepts-Identify common structured query language (SQL) statements
Chapter 14: Identify considerations for relational data on Azure-Describe relational concepts-Identify common database objects
Chapter 15: Identify considerations for relational data on Azure-Describe relational Azure data services-Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
Chapter 16: Identify considerations for relational data on Azure-Describe relational Azure data services-Identify Azure database services for open-source database systems
Chapter 17: Describe considerations for working with non-relational data on Azure -Describe capabilities of Azure storage-Describe Azure Blob storage
Chapter 18: Describe considerations for working with non-relational data on Azure -Describe capabilities of Azure storage-Describe Azure File storage
Chapter 19: Describe considerations for working with non-relational data on Azure -Describe capabilities of Azure storage-Describe Azure Table storage
Chapter 20: Describe considerations for working with non-relational data on Azure -Describe capabilities and features of Azure Cosmos DB-Identify use cases for Azure Cosmos DB
Chapter 21: Describe considerations for working with non-relational data on Azure -Describe capabilities and features of Azure Cosmos DB-Describe Azure Cosmos DB APIs
Chapter 22: Describe an analytics workload-Describe common elements of large-scale analytics-Describe considerations for data ingestion and processing
Chapter 23: Describe an analytics workload-Describe common elements of large-scale analytics-Describe options for analytical data stores
Chapter 24: Describe an analytics workload-Describe common elements of large-scale analytics-Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric
Chapter 25: Describe an analytics workload-Describe consideration for real-time data analytics-Describe the difference between batch and streaming data
Chapter 26: Describe an analytics workload-Describe consideration for real-time data analytics-Identify Microsoft cloud services for real-time analytics
Chapter 27: Describe an analytics workload-Describe data visualization in Microsoft Power BI-Identify capabilities of Power BI
Chapter 28: Describe an analytics workload-Describe data visualization in Microsoft Power BI-Describe features of data models in Power BI
Chapter 29: Describe an analytics workload-Describe data visualization in Microsoft Power BI-Identify appropriate visualizations for data

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