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The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.

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

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe an analytics workload on Azure25–30%- Describe big data and analytics concepts
  • 1. Data ingestion and processing
    • 2. Modern data warehouse architecture
      • 3. Data lakes and data warehouses
        - Describe real-time analytics
        • 1. Stream processing concepts
          • 2. Azure Stream Analytics
            - Describe Azure analytics services
            • 1. Azure Databricks
              • 2. Microsoft Fabric
                • 3. Azure Synapse Analytics
                  • 4. Azure Data Lake Storage Gen2
                    • 5. Azure HDInsight
                      - Describe data visualization
                      • 1. Power BI capabilities
                        • 2. Data models and reports
                          Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
                          • 1. Capabilities and features
                            • 2. Consistency levels and partitioning
                              • 3. APIs and data models
                                - Describe non-relational data concepts
                                • 1. Use cases for non-relational data
                                  • 2. Characteristics of NoSQL data
                                    - Describe Azure storage services
                                    • 1. Blob Storage
                                      • 2. Table Storage
                                        • 3. File Storage
                                          • 4. Queue Storage
                                            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. Normalization
                                                      • 2. Query data with SQL
                                                        • 3. Relationships, keys, constraints
                                                          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

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