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Microsoft DP-900 dumps - in .pdf

DP-900 pdf
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 22, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 22, 2026
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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
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  • Q & A: 332 Questions and Answers
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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DP-900 exam dumps

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
  • 1. APIs and data models
    • 2. Consistency levels and partitioning
      • 3. Capabilities and features
        - Describe non-relational data concepts
        • 1. Characteristics of NoSQL data
          • 2. Use cases for non-relational data
            - Describe Azure storage services
            • 1. Table Storage
              • 2. File Storage
                • 3. Queue Storage
                  • 4. Blob Storage
                    Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                    • 1. Open-source databases: PostgreSQL, MySQL, MariaDB
                      • 2. Azure SQL Managed Instance
                        • 3. Azure SQL Database
                          • 4. SQL Server on Azure Virtual Machines
                            - Describe relational data concepts
                            • 1. Query data with SQL
                              • 2. Relationships, keys, constraints
                                • 3. Normalization
                                  Describe an analytics workload on Azure25–30%- Describe data visualization
                                  • 1. Power BI capabilities
                                    • 2. Data models and reports
                                      - Describe real-time analytics
                                      • 1. Azure Stream Analytics
                                        • 2. Stream processing concepts
                                          - Describe Azure analytics services
                                          • 1. Microsoft Fabric
                                            • 2. Azure Data Lake Storage Gen2
                                              • 3. Azure Synapse Analytics
                                                • 4. Azure Databricks
                                                  • 5. Azure HDInsight
                                                    - Describe big data and analytics concepts
                                                    • 1. Modern data warehouse architecture
                                                      • 2. Data lakes and data warehouses
                                                        • 3. Data ingestion and processing
                                                          Describe core data concepts25–30%- 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
                                                                - Describe data workloads
                                                                • 1. Transactional workloads
                                                                  • 2. Batch and streaming data
                                                                    • 3. Analytical workloads

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