Microsoft Certified: Azure Data Fundamentals

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

The following course prepares you for the exam DP-900:

Course DP-900: Microsoft Azure Data Fundamentals

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.

Course Outline

Module 1: Explore core data concepts

Students will 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Lessons

• Explore core data concepts
• Explore roles and responsiblities in the world of data
• Describe concepts of relational data
• Explore concepts of non-relational data
• Explore concepts of data analytics

After completing this module, students will be able to:

• Show foundational knowledge of cloud data services within Azure
• Identify and describe core data concepts such as relational, non-relational, big data, and analytics
• Explain how this technology is implemented with Azure

Module 2: Explore relational data in Azure

Students will 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. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

Lessons

• Explore relational data services in Azure
• Explore provisioning and deploying relational database services in Azure
• Query relational data in Azure

After completing this module, students will be able to:

• Describe relational data services on Azure
• Explain provisioning and deploying relational databases on Azure
• Query relational data through cloud data solutions in Azure

Module 3: Explore non-relational data in Azure

Students will 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 Azure. Students will explore non-relational data services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons

• Explore non-relational data services in Azure
• Explore provisioning and deploying non-relational data services on Azure
• Manage non-relational data stores in Azure

After completing this module, students will be able to:

• Describe non-relational data services on Azure
• Explain provisioning and deploying non-relational databases on Azure
• Decribe non-relational data stores on Azure

Module 4: Explore modern data warehouse analytics in Azure

Students will 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 Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Lessons

• Examine components of a modern data warehouse
• Explore data ingestion in Azure
• Explore data storage and processing in Azure
• Get started building with Power BI

After completing this module, students will be able to:

• Describe processing options available for building data analytics solutions in Azure
• Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
• Explain what Microsoft Power BI is, including its building blocks and how they work together

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