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Microsoft Certified: Azure Data Fundamentals DP-900 Korean

DP-900 Korean

Exam Code: DP-900-KR

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

Updated: Jul 19, 2026

Q&A Number: 320 Q&As

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About Microsoft DP-900 Korean Exam Braindumps

Do you have bought the Microsoft pdf version for your preparation? If not, hurry up to choose our DP-900 Korean pdf torrent. Our DP-900 Korean pdf study material is based on the DP-900 Korean real exam scenarios covering all the exam objectives. We have full confidence that you can successfully pass the exam as long as you practice according to the content provided by DP-900 Korean exam preparation materials. Of course, if you fail to pass the exam, we will give you a 100% full refund.

DP-900 Korean exam dumps

Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.

This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

Download exam skills outline

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

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Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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