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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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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.

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Skills measured

  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe an analytics workload on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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