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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20โ€“25%- Describe Azure relational data services
  • 1. Azure SQL Managed Instance
    • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
      • 3. Azure SQL Database
        • 4. SQL Server on Azure Virtual Machines
          - Describe relational data concepts
          • 1. Relationships, keys, constraints
            • 2. Query data with SQL
              • 3. Normalization
                Describe considerations for working with non-relational data on Azure15โ€“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. Table Storage
                            • 2. Queue Storage
                              • 3. File Storage
                                • 4. Blob Storage
                                  Describe core data concepts25โ€“30%- Describe types of data
                                  • 1. Structured, semi-structured, and unstructured data
                                    • 2. File formats
                                      - Describe data workloads
                                      • 1. Batch and streaming data
                                        • 2. Transactional workloads
                                          • 3. Analytical workloads
                                            - Describe roles and responsibilities
                                            • 1. Data engineer, data analyst, database administrator
                                              Describe an analytics workload on Azure25โ€“30%- Describe data visualization
                                              • 1. Data models and reports
                                                • 2. Power BI capabilities
                                                  - Describe Azure analytics services
                                                  • 1. Azure HDInsight
                                                    • 2. Azure Databricks
                                                      • 3. Azure Data Lake Storage Gen2
                                                        • 4. Azure Synapse Analytics
                                                          • 5. Microsoft Fabric
                                                            - 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

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q21-Q26):

                                                                      NEW QUESTION # 21
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation
                                                                      Paginated Reports
                                                                      https://powerbi.microsoft.com/en-us/blog/announcing-paginated-reports-in-power-bi-general-availability/


                                                                      NEW QUESTION # 22
                                                                      Select the answer that correctly completes the sentence.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 23
                                                                      A team of developers has computers that run Windows 10 and Ubuntu Desktop.
                                                                      The developers need to connect to and query an Azure SQL database from each of their computers. The developers require code assistance features such as IntelliSense.
                                                                      What should the developers use?

                                                                      Answer: A

                                                                      Explanation:
                                                                      Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux.
                                                                      Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal.
                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/sql/azure-data-studio/download-azure-data-studio


                                                                      NEW QUESTION # 24
                                                                      At which two levels can you set the throughput for an Azure Cosmos DB account? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.

                                                                      Answer: A,B

                                                                      Explanation:
                                                                      https://docs.microsoft.com/en-us/azure/cosmos-db/set-throughput


                                                                      NEW QUESTION # 25
                                                                      What are three characteristics of an Online Transaction Processing (OLTP) workload? Each correct answer presents a complete solution.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      Answer: A,B,F

                                                                      Explanation:
                                                                      B: Typical traits of transactional data include: schema on write, strongly enforced. The schema is defined in a database.
                                                                      D: Transactional data tends to be highly normalized.
                                                                      F: Transactional data tends to be heavy writes, moderate reads.
                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/online-transaction- processing


                                                                      NEW QUESTION # 26
                                                                      ......

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