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Microsoft DP-900 Exam Syllabus Topics:

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

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q102-Q107):

                                                                      NEW QUESTION # 102
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation:

                                                                      Disadvantages of non-relational databases include: Data Consistency - non-relational databases do not perform ACID transactions.
                                                                      Note: Relational databases are optimized for writes. They are optimized for consistency and availability.
                                                                      Advantages of relational databases include simplicity, ease of data retrieval, data integrity, and flexibility.


                                                                      NEW QUESTION # 103
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 104
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:

                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace


                                                                      NEW QUESTION # 105
                                                                      Your company needs to design a database that shows how changes traffic in one area of a network affect other components on the network.
                                                                      Which type of data store should you use?

                                                                      Answer: B

                                                                      Explanation:
                                                                      Explanation
                                                                      Data as it appears in the real world is naturally connected. Traditional data modeling focuses on defining entities separately and computing their relationships at runtime. While this model has its advantages, highly connected data can be challenging to manage under its constraints.
                                                                      A graph database approach relies on persisting relationships in the storage layer instead, which leads to highly efficient graph retrieval operations. Azure Cosmos DB's Gremlin API supports the property graph model.


                                                                      NEW QUESTION # 106
                                                                      Select the answer that correctly completes the sentence.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 107
                                                                      ......

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