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Microsoft Azure Data Fundamentals Exam Certification Details:

Schedule ExamPearson VUE
Exam Price$99 (USD)
Passing Score700 / 1000
Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Duration60 mins
Exam NameMicrosoft Certified - Azure Data Fundamentals
Number of Questions40-60
Exam CodeDP-900

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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 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
            - Describe Azure analytics services
            • 1. Azure Databricks
              • 2. Microsoft Fabric
                • 3. Azure Data Lake Storage Gen2
                  • 4. Azure Synapse Analytics
                    • 5. Azure HDInsight
                      - Describe data visualization
                      • 1. Power BI capabilities
                        • 2. Data models and reports
                          Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                          • 1. Azure SQL Database
                            • 2. Azure SQL Managed Instance
                              • 3. SQL Server on Azure Virtual Machines
                                • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
                                  - Describe relational data concepts
                                  • 1. Relationships, keys, constraints
                                    • 2. Normalization
                                      • 3. Query data with SQL
                                        Describe core data concepts25–30%- Describe data workloads
                                        • 1. Analytical workloads
                                          • 2. Batch and streaming data
                                            • 3. Transactional 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
                                                    Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                                                    • 1. File Storage
                                                      • 2. Table Storage
                                                        • 3. Queue Storage
                                                          • 4. Blob Storage
                                                            - Describe Azure Cosmos DB
                                                            • 1. Capabilities and features
                                                              • 2. APIs and data models
                                                                • 3. Consistency levels and partitioning
                                                                  - Describe non-relational data concepts
                                                                  • 1. Use cases for non-relational data
                                                                    • 2. Characteristics of NoSQL data
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