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

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                                                                      Microsoft Azure Data Fundamentals Sample Questions (Q24-Q29):

                                                                      NEW QUESTION # 24
                                                                      You need to gather real-time telemetry data from a mobile application.
                                                                      Which type of workload describes this scenario?

                                                                      Answer: D


                                                                      NEW QUESTION # 25
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:
                                                                      Explanation
                                                                      Text Description automatically generated


                                                                      NEW QUESTION # 26
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:

                                                                      Explanation:

                                                                      Generally speaking, data analytics comes in four types:
                                                                      * Descriptive, to answer the question: What's happening?
                                                                      * Diagnostic, to answer the question: Why's happening?
                                                                      * Predictive, to answer the question: What will happen?
                                                                      * Prescriptive, to answer the question: What actions should we take?

                                                                      Reference:
                                                                      https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen- with-iot-analytics/


                                                                      NEW QUESTION # 27
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 28
                                                                      To complete the sentence, select the appropriate option in the answer area.

                                                                      Answer:

                                                                      Explanation:


                                                                      NEW QUESTION # 29
                                                                      ......

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