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Microsoft DP-900 Exam Syllabus Topics:

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

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                                                                      DP-900 Latest Test Simulations, DP-900 Practice Exams

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q296-Q301):

                                                                      NEW QUESTION # 296
                                                                      What is used to define a query in a stream processing jobs in Azure Stream Analytics?

                                                                      Answer: C


                                                                      NEW QUESTION # 297
                                                                      Which statement is an example of Data Manipulation Language (DML).

                                                                      Answer: A


                                                                      NEW QUESTION # 298
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:

                                                                      Reference:
                                                                      https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/


                                                                      NEW QUESTION # 299
                                                                      For each of the following statements, select yes if he statement is true, Otherwise select No.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 300
                                                                      Match the types of workloads the appropriate scenario.
                                                                      To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once or not at all.
                                                                      NOTE: Each correct match is worth one point.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 301
                                                                      ......

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