DP-900: Microsoft Azure Data Fundamentals – Course DP-900
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. DP-900: Microsoft Azure Data Fundamentals – Course DP-900
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. Curso de Azure AKS: Kubernetes
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