Skills at a glance

• Describe core data concepts (25–30%)

• Identify considerations for relational data on Azure (20–25%)

• Describe considerations for working with non-relational data on Azure (15–20%)

• Describe an analytics workload on Azure (25–30%)

Describe core data concepts (25–30%)

Identify considerations for relational data on Azure (20–25%)

Describe considerations for working with non-relational data on Azure (15–20%)

Describe an analytics workload on Azure (25–30%)

Describe core data concepts (25–30%)

Describe ways to represent data

• Describe features of structured data

• Describe features of semi-structured

• Describe features of unstructured data

Describe features of structured data

Describe features of semi-structured

Describe features of unstructured data

Identify options for data storage

• Describe common formats for data files

• Describe types of databases

Describe common formats for data files

Describe types of databases

Describe common data workloads

• Describe features of transactional workloads

• Describe features of analytical workloads

Describe features of transactional workloads

Describe features of analytical workloads

Identify roles and responsibilities for data workloads

• Describe responsibilities for database administrators

• Describe responsibilities for data engineers

• Describe responsibilities for data analysts

Describe responsibilities for database administrators

Describe responsibilities for data engineers

Describe responsibilities for data analysts

Identify considerations for relational data on Azure (20–25%)

Describe relational concepts

• Identify features of relational data

• Describe normalization and why it is used

• Identify common structured query language (SQL) statements

• Identify common database objects

Identify features of relational data

Describe normalization and why it is used

Identify common structured query language (SQL) statements

Identify common database objects

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

• Identify Azure database services for open-source database systems

Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines

Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15–20%)

Describe capabilities of Azure storage

• Describe Azure Blob storage

• Describe Azure File storage

• Describe Azure Table storage

Describe Azure Blob storage

Describe Azure File storage

Describe Azure Table storage

Describe capabilities and features of Azure Cosmos DB

• Identify use cases for Azure Cosmos DB

• Describe Azure Cosmos DB APIs

Identify use cases for Azure Cosmos DB

Describe Azure Cosmos DB APIs

Describe an analytics workload (25–30%)

Describe common elements of large-scale analytics

• Describe considerations for data ingestion and processing

• Describe options for analytical data stores

• Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric

Describe considerations for data ingestion and processing

Describe options for analytical data stores

Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric

Describe consideration for real-time data analytics

• Describe the difference between batch and streaming data

• Identify Microsoft cloud services for real-time analytics

Describe the difference between batch and streaming data

Identify Microsoft cloud services for real-time analytics

Describe data visualization in Microsoft Power BI

• Identify capabilities of Power BI

• Describe features of data models in Power BI

• Identify appropriate visualizations for data

Identify capabilities of Power BI

Describe features of data models in Power BI

Identify appropriate visualizations for data