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

DP-900 Korean actual test
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Sep 29, 2026
  • Q & A: 332 Questions and Answers
  • PDF Demo
  • PC Test Engine
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  • Total Price: $69.99  

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

For more info read reference:

Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network

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

Objective of Microsoft DP-900

The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.

Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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