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
Identify options for data storage
• Describe common formats for data files
• Describe types of databases
Describe common data 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
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
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 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 capabilities and features of Azure Cosmos DB
• Identify use cases for Azure Cosmos DB
• Describe Azure Cosmos DB APIs
Describe an analytics workload on Azure (25-30%)
Describe common elements of a modern data warehouse
• Describe considerations for data ingestion and processing
• Describe options for analytical data stores
• Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
Describe consideration for real-time data analytics
• Describe the difference between batch and streaming data
• Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming
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