DP-900 Microsoft Azure Data Fundamentals

Microsoft DP-900 Microsoft Azure Data Fundamentals Course

Microsoft DP-900 Microsoft Azure Data Fundamentals Certification

The DP-900 Microsoft Azure Data Fundamentals certification training course is an ideal start for professionals beginning to work with data in the cloud. In the Azure Data Fundamentals, course candidates will learn the fundamentals of core data and database concepts in a cloud environment, get basic cloud data services skills, and build foundational knowledge of cloud data services within Microsoft Azure platform.

During the DP-900 Microsoft Azure Data Fundamentals, certification training course candidates will identify and describe the core data concepts such as relational, non-relational, big data, analytics, and explore how this technology is implemented within Microsoft Azure. The DP 900 the roles, tasks, and responsibilities in the world of data. Training course participants will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. Explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Upon the Microsoft Azure Data Fundamentals training course completion, participants can attempt the DP-900 certification exam to get Microsoft Certified: Azure Data Fundamentals certified.

Logitrain offers DP 900 Microsoft Azure Data Fundamentals certification training course in Melbourne, Sydney, Brisbane, Adelaide, Perth, Canberra, in-house and live online.

  • Training: get practical technical skills
  • Receive a certificate of course attendance
  • Small class size: increased instructor interaction
  • Authorised test centre: exams taken at our premises
  • Expert trainers: imparting real-world experience

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

Candidates can achieve this certification by passing the following exam(s).

  • Exam DP-900 Microsoft Azure Data Fundamentals

The certification exam can be registered and attempted within 3 months of course/module completion at Logitrain training centre on weekdays during normal business hours (excludes public holidays)

DP-900 Microsoft Azure Data Fundamentals Course Material
  • Describe types of core data workloads
  • Describe data analytics core concepts
  • Describe relational data workloads
  • Describe relational Azure data services
  • Identify basic management tasks for relational data
  • Describe query techniques for data using SQL language
  • Describe non-relational data workloads
  • Describe non-relational data offerings on Azure
  • Identify basic management tasks for non-relational data
  • Describe analytics workloads
  • Describe the components of a modern data warehouse
  • Describe data visualization in Microsoft Power BI

 

This course is likely to add to the employment-related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.

  • IT professionals
  • Azure professionals
  • Data professionals
  • Business intelligence professionals
  • Anyone interested in learning Microsoft Azure
  • describe batch data
  • describe streaming data
  • describe the difference between batch and streaming data
  • describe the characteristics of relational data
  • describe data visualization (e.g., visualization, reporting, business intelligence
  • describe basic chart types such as bar charts and pie charts
  • describe analytics techniques
  • describe ELT and ETL processing
  • describe the concepts of data processing
  • identify the right data offering for a relational workload
  • describe relational data structures (e.g., tables, index, views)
  • 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
  • describe Azure SQL Managed Instance
  • describe provisioning and deployment of relational data services
  • describe method for deployment including ARM templates and Azure Portal
  • identify data security components (e.g., firewall, authentication)
  • identify basic connectivity issues
  • identify query tools
  • compare DDL versus DML
  • query relational data in PostgreSQL, MySQL, and Azure SQL Database
  • describe the characteristics of non-relational data
  • describe the types of non-relational and NoSQL data
  • recommend the correct data store
  • determine when to use non-relational data
  • identify Azure data services for non-relational workloads
  • describe Azure Cosmos DB APIs
  • describe Azure Table storage
  • describe Azure Blob storage
  • describe Azure File storage
  • describe provisioning and deployment of non-relational data services
  • describe method for deployment including ARM templates and Azure Portal
  • identify data security components (e.g., firewall, authentication)
  • identify basic connectivity issues
  • identify management tools for non-relational data
  • describe transactional workloads
  • describe the difference between a transactional and an analytics workload
  • describe the difference between batch and real time
  • describe data warehousing workloads
  • determine when a data warehouse solution is needed
  • describe Azure data services for modern data warehousing such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • describe modern data warehousing architecture and workload
  • describe common practices for data loading
  • describe the components of Azure Data Factory (e.g., pipeline, activities, etc.)
  • describe data processing options (e.g., HDI, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
  • describe the role of paginated reporting
  • describe the role of interactive reports
  • describe the role of dashboards
  • describe the workflow in Power BI
  • describe batch data
  • describe streaming data
  • describe the difference between batch and streaming data
  • describe the characteristics of relational data
  • describe data visualization (e.g., visualization, reporting, business intelligence
  • describe basic chart types such as bar charts and pie charts
  • describe analytics techniques
  • describe ELT and ETL processing
  • describe the concepts of data processing
  • identify the right data offering for a relational workload
  • describe relational data structures (e.g., tables, index, views)
  • 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
  • describe Azure SQL Managed Instance
  • describe provisioning and deployment of relational data services
  • describe method for deployment including ARM templates and Azure Portal
  • identify data security components (e.g., firewall, authentication)
  • identify basic connectivity issues
  • identify query tools
  • compare DDL versus DML
  • query relational data in PostgreSQL, MySQL, and Azure SQL Database
  • describe the characteristics of non-relational data
  • describe the types of non-relational and NoSQL data
  • recommend the correct data store
  • determine when to use non-relational data
  • identify Azure data services for non-relational workloads
  • describe Azure Cosmos DB APIs
  • describe Azure Table storage
  • describe Azure Blob storage
  • describe Azure File storage
  • describe provisioning and deployment of non-relational data services
  • describe method for deployment including ARM templates and Azure Portal
  • identify data security components (e.g., firewall, authentication)
  • identify basic connectivity issues
  • identify management tools for non-relational data
  • describe transactional workloads
  • describe the difference between a transactional and an analytics workload
  • describe the difference between batch and real time
  • describe data warehousing workloads
  • determine when a data warehouse solution is needed
  • describe Azure data services for modern data warehousing such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • describe modern data warehousing architecture and workload
  • describe common practices for data loading
  • describe the components of Azure Data Factory (e.g., pipeline, activities, etc.)
  • describe data processing options (e.g., HDI, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
  • describe the role of paginated reporting
  • describe the role of interactive reports
  • describe the role of dashboards
  • describe the workflow in Power BI
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What is included with the Microsoft DP-900 Microsoft Azure Data Fundamentals Course?
Logitrain course includes official certification exam fee.
Includes Official Exam Fee

Take the certification exam within 3 months of course / module completion

Logitrain is an Authorised Pearson VUE Test Centre.
Authorised Test Centre

Take the official vendor certification exam at the Logitrain training center

Logitrain courses, programs and packages includes course material.
Includes Books & Meals

Course material in hardcopy is included. Full-time classroom courses include meals

Logitrain courses, packages and programs includes sample practise questions.
Includes Mock & Test Questions

Mock tests included in full-time courses for 3 months from course completion

Logitrain full-time course includes course retake, if you do not pass the official certification exam.
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