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  • Cloud Solutions Analyst – an early career as cloud solutions analyst or architect is quite lucrative. You can earn up to an average salary of $80k annually with even less than 1 year of working experience in this role. Once you develop in this job, the salary may rise up to the average of $126k per annum. Although the role is so much demanding, you should be ready to do proper evaluation and performance testing of a cloud solution before integration. The main task of these specialists is to ensure that the performance of the system is optimized.
  • Systems Engineer – this role will keep you engaged in the design and the development of the cloud solutions that are appropriate to the business at hand. These professionals also analyze both the system and software requirements before giving design guidelines. This role is estimated to earn you an average salary of $81k per annum, as per PayScale.

How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.

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Exam Details

The Microsoft DP-900 exam has the following features:

  • The number of questions is not disclosed but you should expect 40-60 items
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
  • The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.

Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.

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So, What Is the Verdict?

The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!

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

Microsoft DP-900日本語 Exam Syllabus Topics:

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

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