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More about DP-900 Exam

In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.

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

What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Length of Examination: 50 mins
  • Passing score: 700 / 1000
  • Language: English
  • Type of Questions: This test format is multiple choice.
  • This is the beta exam, would be available on or around March 31, 2020.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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