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Microsoft Certified Azure Data Fundamentals Course in Dubai

Overview of Microsoft Certified Azure Data Fundamentals Course

Microsoft Certified Azure Data Fundamentals Course, candidates for the Azure Data Basics accreditation ought to have a foundational knowledge of core information principles as well as how they are applied utilizing Microsoft Azure data solutions.  Zabeel Institute is considered as the best training institute in Dubai  for Microsoft Certified Azure Data Fundamentals course.

This qualification is intended for candidates starting to work with data in the cloud.

Candidates ought to know with the ideas of relational and also non-relational information, and also various sorts of data work such as transactional or logical.

Azure Data Principles can be utilized to plan for various other Azure role-based accreditations like Azure Database Administrator Associate or Azure Data Designer Associate, yet it's not a requirement for any of them.

Job role: Database Administrator, Data Analyst, Data Engineer, Developer, Student

Required exams: DP-900

Microsoft Certified Azure Data Fundamentals Course Certification details

Exam DP-900: Microsoft Azure Data Fundamentals

Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish

Show that you can explain the following: core data ideas; how to deal with relational information on Azure; how to work with non-relational data on Azure; and also an analytics workload on Azure.

Candidates for this examination must have foundational knowledge of core data concepts and just how they are applied making use of Microsoft Azure data solutions.

This examination is meant for candidates starting to work with information in the cloud.
Candidates ought to know with the concepts of relational and non-relational data, as well as various types of data work such as transactional or analytical.
Azure Data Basics can be used to plan for various other Azure role-based certifications like Azure Data source Manager Affiliate or Azure Information Designer Affiliate, yet it's not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified Azure Data Fundamentals

Skills measured

  • Define core information principles
  • Describe just how to deal with relational information on Azure
  • Define just how to work with non-relational data on Azure
  • Define an analytics workload on Azure

Microsoft Certified Azure Data Fundamentals

Zabeel international institute of management technology Offer High Demand in IT Courses and technology management  industry. We are one of the Top ranking training institute in Dubai . 

Microsoft Certified Azure Data Fundamentals Course content

Exam DP-900: Microsoft Azure Data Fundamentals

Describe core data concepts (15-20%)

Describe types of core data workloads

  • explain set information
  • explain streaming data
  • explain the difference between batch and also streaming data
  • explain the characteristics of relational information

Describe data analytics core concepts

  • Explain information visualization (e.g., visualization, reporting, organization intelligence (BI)).
  • Define basic graph kinds such as bar charts and pie chart.
  • Explain analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, and cognitive).
  • Define ELT and ETL processing.
  • Describe the concepts of data handling.

Describe how to work with relational data on Azure (25-30%)

Describe relational data workloads

  • identify the appropriate data supplying for a relational workload
  • Explain relational data structures (e.g., tables, index, sights).

Describe relational Azure data services

  • Describe and contrast PaaS, IaaS, as well as SaaS services.
  • Define Azure SQL family members of items including Azure SQL Data source, Azure SQL Managed Circumstances, as well as SQL Server on Azure Virtual Machines.
  • Explain Azure Synapse Analytics.
  • Describe Azure Data source for PostgreSQL, Azure Database for MariaDB, and also Azure Database for MySQL.

Identify basic management tasks for relational data

  • Explain provisioning and deployment of relational data services.
  • describe technique for release including the Azure portal, Azure Source
  • Manager templates, Azure PowerShell, and also the Azure command-line interface (CLI).
  • Determine information safety and security components (e.g., firewall, verification).
  • Determine standard connectivity problems (e.g., accessing from on-premises, gain access to with Azure VNets, access from Web, verification, firewall softwares).
  • Identify inquiry tools (e.g., Azure Data Workshop, SQL Web Server Administration Workshop, sqlcmd utility, etc.).

Describe query techniques for data using SQL language

  • Contrast Data Definition Language (DDL) versus Information Control Language (DML).
  • Query relational information in Azure SQL Database, Azure Data Source for PostgreSQL, and also Azure Database for MySQL.

Describe how to work with non-relational data on Azure (25-30%)

Describe non-relational data workloads

  • describe the qualities of non-relational data
  • define the sorts of non-relational and also NoSQL data
  • recommend the proper information shop
  • establish when to use non-relational information

Describe non-relational data offerings on Azure

  • recognize Azure data services for non-relational workloads
  • define Azure Cosmos DB APIs
  • define Azure Table storage space
  • define Azure Blob storage space
  • explain Azure Data storage space

Identify basic management tasks for non-relational data

  • explain provisioning as well as implementation of non-relational information services
  • Define method for release including the Azure portal, Azure Resource Supervisor themes, Azure PowerShell, and the Azure command-line interface (CLI.
  • Recognize information security elements (e.g., firewall program, verification, and security).
  • Determine basic connection issues (e.g., accessing from on-premises, gain access to with Azure VNets, accessibility from Net, verification, firewall softwares).
  • Recognize management tools for non-relational information.

Describe an analytics workload on Azure (25-30%)

Describe analytics workloads

  • Explain transactional work.
  • Define the distinction in between a transactional and an analytics work.
  • Describe the difference between batch as well as actual time.
  • Explain information warehousing work.
  • Determine when an information warehouse option is required.

Describe the components of a modern data warehouse

  • Describe Azure information services for contemporary data warehousing such as Azure Data Lake Storage Space Gen2, Azure Synapse Analytics, Azure Data bricks, and Azure HDInsight.
  • Describe contemporary data warehousing design as well as workload.

Describe data ingestion and processing on Azure

  • Define usual methods for data filling.
  • Explain the elements of Azure Information Manufacturing facility (e.g., pipeline, activities, and so on).
  • Define information processing alternatives (e.g., Azure HDInsight, Azure Data bricks, Azure Synapse Analytics, Azure Data Factory).

Describe data visualization in Microsoft Power BI

  • Describe the function of paginated reporting.
  • Explain the duty of interactive reports.
  • Define the role of dashboards.
  • Define the workflow in Power BI.

We are fully accredited Institute by KHDA and endorsed by students as the best Microsoft Certified Azure Data Fundamentals training institute in Dubai.

To know more on the Microsoft Certified Azure Data Fundamentals Course official site, click here.

To know more about other courses in IT Academy, click here.

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