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Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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Workload analytics on Azure

  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Analytics Workloads in Azure25-30%- Azure analytics services
  • 1. Power BI
    • 2. Azure Data Lake Storage
      • 3. Azure Synapse Analytics
        - Data ingestion and processing
        - Data analytics concepts
        - Data visualization and reporting
        Core Data Concepts25-30%- Data analytics workloads overview
        - Types of core data workloads
        - Relational vs non-relational data
        - Roles and responsibilities in data work
        Non-Relational Data in Azure15-20%- Azure storage services
        • 1. Azure Blob Storage
          • 2. Azure Cosmos DB
            • 3. Azure Table Storage
              - Non-relational data concepts
              - Data processing options for non-relational data
              Relational Data in Azure20-25%- Querying relational data
              - Azure relational data services
              • 1. Azure SQL Database
                • 2. Azure SQL Managed Instance
                  • 3. SQL Server on Azure VMs
                    - Relational data concepts

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