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Microsoft DP-900 Korean

DP-900 Korean

Exam Code: DP-900-KR

Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)

Updated: Aug 09, 2026

Q&A Number: 320 Q&As

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About Microsoft DP-900 Korean Exam Questions and Answers

How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.

How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

Career Prospects

  • 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.
  • 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.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Describe an analytics workload on Azure25–30%- Describe real-time analytics
  • 1. Stream processing concepts
    • 2. Azure Stream Analytics
      - Describe big data and analytics concepts
      • 1. Data ingestion and processing
        • 2. Modern data warehouse architecture
          • 3. Data lakes and data warehouses
            - Describe data visualization
            • 1. Power BI capabilities
              • 2. Data models and reports
                - Describe Azure analytics services
                • 1. Azure Data Lake Storage Gen2
                  • 2. Microsoft Fabric
                    • 3. Azure Databricks
                      • 4. Azure HDInsight
                        • 5. Azure Synapse Analytics
                          Describe core data concepts25–30%- Describe roles and responsibilities
                          • 1. Data engineer, data analyst, database administrator
                            - Describe types of data
                            • 1. Structured, semi-structured, and unstructured data
                              • 2. File formats
                                - Describe data workloads
                                • 1. Batch and streaming data
                                  • 2. Transactional workloads
                                    • 3. Analytical workloads
                                      Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                      • 1. Open-source databases: PostgreSQL, MySQL, MariaDB
                                        • 2. Azure SQL Managed Instance
                                          • 3. Azure SQL Database
                                            • 4. SQL Server on Azure Virtual Machines
                                              - Describe relational data concepts
                                              • 1. Query data with SQL
                                                • 2. Normalization
                                                  • 3. Relationships, keys, constraints
                                                    Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                                                    • 1. Blob Storage
                                                      • 2. Queue Storage
                                                        • 3. Table Storage
                                                          • 4. File Storage
                                                            - Describe non-relational data concepts
                                                            • 1. Use cases for non-relational data
                                                              • 2. Characteristics of NoSQL data
                                                                - Describe Azure Cosmos DB
                                                                • 1. Capabilities and features
                                                                  • 2. Consistency levels and partitioning
                                                                    • 3. APIs and data models

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