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Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary

The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in

  • England - 60,532 POUNDS
  • United States - 80,000 USD
  • Europe - 60,547 EURO
  • India - 12,10,327 INR

The DP-900 exam covers a wide range of topics related to data management, including data storage, processing, and security in Azure. DP-900J exam also covers the basics of Azure data services such as Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage. The DP-900 exam is an excellent way to validate your knowledge of these services and demonstrate your ability to work with them.

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

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Microsoft DP-900 certification exam is a great way to showcase your expertise in cloud data services offered by Microsoft Azure. With a solid understanding of the core concepts, relational and non-relational data offerings, analytics services, data security, privacy, compliance, and pricing models, you can demonstrate your foundational skills in cloud data services. Microsoft Azure Data Fundamentals (DP-900日本語版) certification can help you stand out in the job market, advance in your current role, and increase your earning potential.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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