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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe core data concepts25โ€“30%- Describe types of data
  • 1. File formats
    • 2. Structured, semi-structured, and unstructured data
      - Describe data workloads
      • 1. Transactional workloads
        • 2. Batch and streaming data
          • 3. Analytical workloads
            - Describe roles and responsibilities
            • 1. Data engineer, data analyst, database administrator
              Topic 2: Identify considerations for relational data on Azure20โ€“25%- Describe relational data concepts
              • 1. Relationships, keys, constraints
                • 2. Query data with SQL
                  • 3. Normalization
                    - Describe Azure relational data services
                    • 1. Azure SQL Managed Instance
                      • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
                        • 3. SQL Server on Azure Virtual Machines
                          • 4. Azure SQL Database
                            Topic 3: Describe considerations for working with non-relational data on Azure15โ€“20%- Describe Azure storage services
                            • 1. Table Storage
                              • 2. Queue Storage
                                • 3. Blob Storage
                                  • 4. File 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. APIs and data models
                                            • 3. Capabilities and features
                                              Topic 4: Describe an analytics workload on Azure25โ€“30%- Describe Azure analytics services
                                              • 1. Azure Databricks
                                                • 2. Azure HDInsight
                                                  • 3. Microsoft Fabric
                                                    • 4. Azure Synapse Analytics
                                                      • 5. Azure Data Lake Storage Gen2
                                                        - Describe big data and analytics concepts
                                                        • 1. Data lakes and data warehouses
                                                          • 2. Modern data warehouse architecture
                                                            • 3. Data ingestion and processing
                                                              - Describe real-time analytics
                                                              • 1. Azure Stream Analytics
                                                                • 2. Stream processing concepts
                                                                  - Describe data visualization
                                                                  • 1. Power BI capabilities
                                                                    • 2. Data models and reports

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                                                                      Exam DP-900 Overview - Accurate DP-900 Answers

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q22-Q27):

                                                                      NEW QUESTION # 22
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:


                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl


                                                                      NEW QUESTION # 23
                                                                      Hotspot Question
                                                                      Select the answer that correctly completes the sentence.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation:
                                                                      Scatter Charts - A scatter chart (or scatter graph) uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. Scatter plots are used to observe relationships between variables.


                                                                      NEW QUESTION # 24
                                                                      Which language is used to define queries in Azure Synapse Data Explorer?

                                                                      Answer: A


                                                                      NEW QUESTION # 25
                                                                      Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract, load, and transform (ELT) process.
                                                                      Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct stages. Each location may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation:
                                                                      Graphical user interface, text, application, chat or text message Description automatically generated

                                                                      Box 1: The CRM system
                                                                      Data is extracted from the CRM system.
                                                                      Box 2: The data warehouse
                                                                      Data is loaded to the data warehouse.
                                                                      Box 3: A standalone data analysis tool
                                                                      The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.
                                                                      Graphical user interface, text, application Description automatically generated


                                                                      NEW QUESTION # 26
                                                                      Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract load, and transform (ELT) process.
                                                                      Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct. Each location may be used once, or not at all, You may need to drag the split bar between panes or scroll to view content.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation:

                                                                      Box 1: The CRM system
                                                                      Data is extracted from the CRM system.
                                                                      Box 2: The data warehouse
                                                                      Data is loaded to the data warehouse.
                                                                      Box 3: An in-memory data integration tool
                                                                      The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data.

                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl


                                                                      NEW QUESTION # 27
                                                                      ......

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