DP-900T00 – Microsoft Azure Data Fundamentals

• Identify common data formats
• Describe options for storing data in files
• Describe options for storing data in databases
• Describe characteristics of transactional data processing solutions
• Describe characteristics of analytical data processing solutions
• Identify common data professional roles
• Identify common cloud services used by data professionals
• Identify characteristics of relational data
• Define normalization
• Identify types of SQL statement
• Identify common relational database objects
• Identify options for Azure SQL services
• Identify options for open-source databases in Azure
• Provision a database service on Azure
• Describe features and capabilities of Azure blob storage
• Describe features and capabilities of Azure Data Lake Gen2
• Describe features and capabilities of Azure file storage
• Describe features and capabilities of Azure table storage
• Provision and use an Azure Storage account
• Describe key features and capabilities of Azure Cosmos DB
• Identify the APIs supported in Azure Cosmos DB
• Provision and use an Azure Cosmos DB instance
• Identify common elements of a modern data warehousing solution
• Describe key features for data ingestion pipelines
• Identify common types of analytical data store and related Azure services
• Provision Azure Synapse Analytics and use it to ingest, process, and query data
• Compare batch and stream processing
• Describe common elements of streaming data solutions
• Describe features and capabilities of Azure Stream Analytics
• Describe features and capabilities of Spark Structured Streaming on Azure
• Describe features and capabilities of Azure Synapse Data Explorer
• Describe a high-level process for creating reporting solutions with Microsoft Power BI
• Describe core principles of analytical data modeling
• Identify common types of data visualization and their uses
• Create an interactive report with Power BI Desktop

1.Explore core data concepts

Data powers the digital transformation that is sweeping across organizations and society in general. But what is “data”, and how is it represented and used?

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2.Explore data roles and services

Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.

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3.Explore fundamental relational data concepts

Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size around the world.

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4.Explore relational database services in Azure

Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that’s best for your needs, and host relational data in the cloud.

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5.Explore Azure Storage for non-relational data

Azure Storage is a core service in Microsoft Azure that is commonly used to store non-relational data.

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6.Explore fundamentals of Azure Cosmos DB

Azure Cosmos DB provides a highly scalable store for non-relational data.

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7.Explore fundamentals of large-scale data warehousing

Organizations use modern data warehousing to build large scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies that you can combine to build a modern data warehousing solution.

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8.Explore fundamentals of real-time analytics

Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

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9.Explore fundamentals of data visualization

Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.

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The audience for DP-900T00 course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals

students start with some basic awareness of computing and Internet concepts, and an interest in extracting

insights from data.

Specifically:

• Experience using a web browser, such as Microsoft Edge.
• Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and
• visualizing data using charts.
• A willingness to learn through hands-on exploration.

This course serves as a prerequisite for the associate-level tracks below:

• DP-100T01: Designing and Implementing a Data Science Solution on Azure
• DP-203T00: Data Engineering on Microsoft Azure
• DP-300T00: Administering Relational Databases on Microsoft Azure
• DP-601T00: Implementing a Lakehouse with Microsoft Fabric

Skills Measured

• 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%)

 

• Career growth
• Broad Career opportunities
• Worldwide recognition from leaders
• Up-to Date technical skills
• Popular Certification Badges

 

 

 

 

 

 

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