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Course Summary

This certification offers the foundation you need to build your technical skills to start working with data in the cloud. Mastering the basics can help you jump-start your career and prepare you to dive deeper into other technical opportunities Azure offers.

The Microsoft Certified: Azure Data Fundamentals certification could be a great fit for you if you’d like to:

Validate your foundational knowledge of core data concepts and how they’re implemented using Azure data services.

Reinforce your basics for other Azure role-based certifications, like Azure Database Administrator Associate, Azure Data Engineer Associate, Power BI Data Analyst Associate, or Azure Developer Associate, but it’s not a prerequisite for any of them.

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 large-scale analytics
• 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, Microsoft Fabric, Azure HDInsight, and Azure Data Factory
• Describe consideration for real-time data 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

There are no prerequisites to this course.

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%)

Following your booking, a confirmation message will be sent to all participants, ensuring you're well-informed of your successful enrollment. Calendar placeholders will also be dispatched to assist you in scheduling your commitments around the course. Rest assured, all course materials and access to necessary labs or platforms will be provided no later than one week before the course begins, allowing you ample time to prepare and engage fully with the learning experience ahead.

Our comprehensive training package includes all the necessary materials and resources to facilitate a full learning experience. Enrollees will be provided with detailed course content, encompassing a wide array of topics to ensure a thorough understanding of the subject matter. Additionally, participants will receive a certificate of completion to recognize their dedication and hard work. It's important to note that while the course fee covers all training materials and experiences, the examination fee for certification is not included but can be purchased separately.
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