2026 DP-900 Dumps | Reliable Microsoft DP-900 Latest Study Materials: Microsoft Azure Data Fundamentals

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Microsoft DP-900 Exam Syllabus Topics:

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

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q100-Q105):

                                                                      NEW QUESTION # 100
                                                                      Select the answer that correctly completes the sentence.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 101
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 102
                                                                      Select the answer that correctly completes the sentence.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 103
                                                                      Match the types of activities to the appropriate Azure Data Factory activities.
                                                                      To answer, drag the appropriate activity type from the column on the left to its Data Factory activity on the right. Each activity type may be used once, more than once, or not at all.
                                                                      NOTE:Each correct match is worth one point.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 104
                                                                      You are using an e-commerce application that reads and writes data to an Azure SQL database.
                                                                      Which processing is this application using?

                                                                      Answer: A

                                                                      Explanation:
                                                                      Online Transaction Processing (OLTP) is a category of data processing that refers to the management of transactional data in real-time. OLTP involves transaction-oriented tasks such as inserting, deleting, and updating data in a database. OLTP systems mainly deal with a large number of transactions by a large number of users.
                                                                      Option A is incorrect. Batch processing processes transactions in batch or group, in sequential, non-stop, often simultaneous manner. OLTP systems are preferred to manage and facilitate transaction-oriented applications.
                                                                      Option B is incorrect. Stream processing focuses on the real-time processing of continuous data streams and takes action on a series of data at the time just when the data is created.
                                                                      Option C is Correct. Online Transaction Processing (OLTP) is preferred for transaction-oriented tasks to manage transactional data in real-time, for e-commerce and other applications.
                                                                      Option D is incorrect. Online Analytical Processing (OLAP) involves the use of complex queries for the analysis of aggregated historical data received from the OLTP systems.
                                                                      Reference: To know more about the Online Transaction Processing (OLTP), refer to the documentation below from Azure:
                                                                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/online-transaction- processing


                                                                      NEW QUESTION # 105
                                                                      ......

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