DP-900합격보장가능덤프공부퍼펙트한덤프구매후불합격시덤프비용환불

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Transactional workloads
          • 2. Batch and streaming data
            • 3. Analytical workloads
              Topic 2: Describe an analytics workload on Azure25–30%- Describe Azure analytics services
              • 1. Microsoft Fabric
                • 2. Azure Data Lake Storage Gen2
                  • 3. Azure Databricks
                    • 4. Azure Synapse Analytics
                      • 5. Azure HDInsight
                        - Describe big data and analytics concepts
                        • 1. Data lakes and data warehouses
                          • 2. Modern data warehouse architecture
                            • 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
                                      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 non-relational data concepts
                                            • 1. Characteristics of NoSQL data
                                              • 2. Use cases for non-relational data
                                                - Describe Azure storage services
                                                • 1. Table Storage
                                                  • 2. Queue Storage
                                                    • 3. File Storage
                                                      • 4. Blob Storage
                                                        Topic 4: Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                                                        • 1. Normalization
                                                          • 2. Relationships, keys, constraints
                                                            • 3. Query data with SQL
                                                              - Describe Azure relational data services
                                                              • 1. Azure SQL Database
                                                                • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                  • 3. Azure SQL Managed Instance
                                                                    • 4. SQL Server on Azure Virtual Machines

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                                                                      최신 Microsoft Certified: Azure Data Fundamentals DP-900 무료샘플문제 (Q101-Q106):

                                                                      질문 # 101
                                                                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      정답：

                                                                      설명：


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

                                                                      정답：

                                                                      설명：


                                                                      질문 # 103
                                                                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                      NOTE:Each correct selection is worth one point.

                                                                      정답：

                                                                      설명：


                                                                      질문 # 104
                                                                      Hotspot Question
                                                                      For each of the following statements, select yes if he statement is true, Otherwise select No.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      정답：

                                                                      설명：

                                                                      Explanation:
                                                                      Box 1: Yes
                                                                      Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
                                                                      The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
                                                                      Box 2: Yes
                                                                      You can stream data into Azure Databricks using Event Hubs.
                                                                      Box 3: Yes
                                                                      You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector. Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
                                                                      You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.
                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/databricks/data/data-sources/sql-databases-azure
                                                                      https://docs.microsoft.com/en-us/azure/databricks/scenarios/databricks-stream-from-eventhubs


                                                                      질문 # 105
                                                                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                      NOTE: Each correct selection is worth one point.

                                                                      정답：

                                                                      설명：


                                                                      질문 # 106
                                                                      ......

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