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Updated: Aug 03, 2026

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How to study the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

The Microsoft official website, Microsoft offers a free learning resource, which is called the online learning portal. Automatic and adaptive and self-paced and interactive and targeted. Analytical and accurate and realistic and online and targeted, the candidates will increase their skills in Microsoft cloud technologies. Affiliate and present and online and available, the candidates will increase their skills in Microsoft cloud technologies. Meaningful and effective and available and interactive, the applicants will grow in expertise in Microsoft cloud technologies. Cut back on time spent studying, the candidates get to know Microsoft cloud technologies better. Hundreds of practice questions and hours of viewing the exam, the candidates get to know Microsoft cloud technologies better. Characteristics and assessment and quizzes and questions, the candidates get to know Microsoft cloud technologies better. Compare and contrast and objective and subjective, the candidates get to know Microsoft cloud technologies better. Microsoft DP-900 exam dumps is an important part of the exam. Applications and solutions and strategies and performance, the candidates get to fully utilize Microsoft cloud technology. Component and configuration and replication and Azure Site Recovery, the candidates will grow in proficiency in Microsoft cloud technology. Transaction and security and data loss and governance, the candidates will grow in proficiency in Microsoft cloud technology.

Walk through and detailed and comprehensive and accurate, Microsoft's cloud technology will improve the more candidates practice with it. Queries and databases and presentation and presentation, the candidates get to know Microsoft cloud technologies better.

Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.

Career Prospects

  • Systems Administrator – as a sysadmin, you will be tasked with providing hands-on support when it comes to system maintenance, operation and administration. You will also be the person concerned in making recommendation of an appropriate software to be deployed. The average salary is estimated to be $63k.
  • 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.
  • 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.

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

Microsoft DP-900 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Certificate Validity Period:Does not expire (Fundamentals certification currently does not require renewal)
Exam Duration:45-60
Real Exam Qty:40-60
Exam Price:99 USD (varies by country/region)
Exam Format:Multiple choice, Multiple select, Drag and drop, Case-based questions
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Italian
Passing Score:700 (out of 1000)
Related Certifications:Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Recommended Training:Azure Data Fundamentals Course
Microsoft Learn DP-900 Learning Path
Exam Registration:Pearson VUE Registration Portal
Microsoft Learn Certification Page
Sample Questions:Microsoft DP-900 Korean Sample Questions
Exam Way:Online proctored exam via Pearson VUE or in-person test center
Pre Condition:No prerequisites required; intended for beginners in data concepts and Azure services.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-data-fundamentals/

The candidates for the Microsoft DP-900 test will be measured in a variety of technical skill areas. These domains are divided into several topics. It is recommended that the applicants review the exam topics in detail and choose the appropriate study materials to prepare for the test. Below are the highlights of the objectives covered in this certification exam:

  • Explain how Relational Data Works on Azure: 25-30%

    The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.

  • Explain Analytics Workloads on Azure: 25-30%

    This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.

  • Explain the Concepts of Core Data: 15-20%

    Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.

  • Explain how Non-Relational Data Works on Azure: 25-30%

    The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Non-Relational Data in Azure15-20%- Non-relational data concepts
- Azure storage services
  • 1. Azure Table Storage
    • 2. Azure Cosmos DB
      • 3. Azure Blob Storage
        - Data processing options for non-relational data
        Topic 2: Relational Data in Azure20-25%- Relational data concepts
        - Querying relational data
        - Azure relational data services
        • 1. Azure SQL Managed Instance
          • 2. Azure SQL Database
            • 3. SQL Server on Azure VMs
              Topic 3: Core Data Concepts25-30%- Types of core data workloads
              - Roles and responsibilities in data work
              - Data analytics workloads overview
              - Relational vs non-relational data
              Topic 4: Analytics Workloads in Azure25-30%- Data analytics concepts
              - Data ingestion and processing
              - Data visualization and reporting
              - Azure analytics services
              • 1. Azure Synapse Analytics
                • 2. Azure Data Lake Storage
                  • 3. Power BI

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