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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.

What should you know about the Microsoft DP-900 exam?

The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.

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

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