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

DP-900 : Microsoft Azure Data Fundamentals Practice Tests

About this course

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.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.Skills MeasuredDescribe core data concepts (15-20%)Describe types of core data workloads · describe batch data · describe streaming data · describe the difference between batch and streaming data · describe the characteristics of relational data Describe data analytics core concepts · describe data visualization (e.g., visualization, reporting, business intelligence · describe basic chart types such as bar charts and pie charts · describe analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, cognitive) · describe ELT and ETL processing · describe the concepts of data processingDescribe how to work with relational data on Azure (25-30%)Describe relational data workloads · identify the right data offering for a relational workload · describe relational data structures (e.g., tables, index, views) Describe relational Azure data services · describe and compare PaaS, IaaS, and SaaS delivery models · describe Azure SQL Database · describe Azure Synapse Analytics · describe SQL Server on Azure Virtual Machine · describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL · describe Azure SQL Managed Instance Identify basic management tasks for relational data · describe provisioning and deployment of relational data services · describe method for deploymen

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