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Microsoft DP-900-KR guide torrent - Microsoft Azure Data Fundamentals (DP-900 Korean Version)

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DP-900 Korean guide torrent
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)

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Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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