This self-paced CertPREP Microsoft Azure Data Fundamentals (DP-900) course focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

The goal of this course is to demonstrate real-world foundational knowledge of core data concepts and how they are implemented using Data Fundamentals Microsoft Azure data services — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.

Course components:

• Lessons
• Video learning
• MeasureUp Practice Test for Microsoft DP-900. Practice Mode with remediation and Certification mode to simulate the test day experience.
• Labs

Duration: Approximately 8 hours of primary course content. Each learner will progress at their own rate.

Audience:

Designed for business users, functional consultants, and other professionals, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads.

Prerequisites:

• 1-2 years professional experience developing cloud solutions
• Experience working with Microsoft Azure
• Foundational knowledge of core data concepts and their implementation

Required course materials: Self-paced CertPREP Microsoft Azure Data Fundamentals (DP-900) course.

Course objectives:

Upon successful completion of this course, students should be able to:  

• Describe core data concepts
• Describe how to work with relational data on Azure
• Describe how to work with non-relational data on Azure
• Describe an analytics workload on Azure