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Practice Tests | DP-900 Microsoft Azure Data Fundamentals
Udemy MOOC / Non-credit all levels

Practice Tests | DP-900 Microsoft Azure Data Fundamentals

About this course

This exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.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.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 is not a prerequisite for any of them.Skills measuredDescribe 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%)This Specialization is intended for IT professionals 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. Through five courses, you will prepare to take the DP-900 exam.This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data. You will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure.You will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores, and the processing options available for building data analytics solutions in Microsoft Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsig

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