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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop data transformation solutions- Data modeling and lakehouse transformation
  • 1. Medallion architecture (Bronze/Silver/Gold)
    • 2. Delta Lake optimization
      - Transform data using Spark in Fabric
      • 1. Notebooks in Microsoft Fabric
        • 2. PySpark data processing
          Topic 2: Secure and govern data in Microsoft Fabric- Implement data security
          • 1. Workspace and item-level permissions
            • 2. Row-level security and column-level security
              - Data governance and compliance
              • 1. Data lineage and cataloging
                • 2. Microsoft Purview integration
                  Topic 3: Manage and monitor data solutions- Optimize performance and reliability
                  • 1. Spark job optimization
                    • 2. Capacity and workload management in Fabric
                      - Monitor pipelines and workloads
                      • 1. Monitor data pipeline runs
                        • 2. Configure alerts and logging
                          Topic 4: Design and implement data ingestion solutions- Integrate external data sources
                          • 1. Connect to Azure data services
                            • 2. Connect to on-premises and SaaS sources
                              - Ingest batch and streaming data into Microsoft Fabric
                              • 1. Ingest streaming data using Real-Time Analytics
                                • 2. Use Pipelines for data movement
                                  • 3. Use Dataflows Gen2 for ingestion

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q31-Q36):

                                    NEW QUESTION # 31
                                    You have a KQL database that contains a table named Readings.
                                    You need to build a KQL query to compare the Meter-Reading value of each row to the previous row base on the ilmestamp value A sample of the expected output is shown in the following table.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 32
                                    You have a Fabric workspace named Workspace1 that contains an Apache Spark job definition named Job1.
                                    You have an Azure SQL database named Source1 that has public internet access disabled.
                                    You need to ensure that Job1 can access the data in Source1.
                                    What should you create?

                                    Answer: C

                                    Explanation:
                                    To allow Job1 in Workspace1 to access an Azure SQL database (Source1) with public internet access disabled, you need to create a managed private endpoint. A managed private endpoint is a secure, private connection that enables services like Fabric (or other Azure services) to access resources such as databases, storage accounts, or other services within a virtual network (VNet) without requiring public internet access. This approach maintains the security and integrity of your data while enabling access to the Azure SQL database.


                                    NEW QUESTION # 33
                                    You need to create the product dimension.
                                    How should you complete the Apache Spark SQL code? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:
                                    A screenshot of a computer Description automatically generated

                                    Join between Products and ProductSubCategories:
                                    Use an INNER JOIN.
                                    The goal is to include only products that are assigned to a subcategory. An INNER JOIN ensures that only matching records (i.e., products with a valid subcategory) are included.
                                    Join between ProductSubCategories and ProductCategories:
                                    Use an INNER JOIN.
                                    Similar to the above logic, we want to include only subcategories assigned to a valid product category. An INNER JOIN ensures this condition is met.
                                    WHERE Clause
                                    Condition: IsActive = 1
                                    Only active products (where IsActive equals 1) should be included in the gold layer. This filters out inactive products.


                                    NEW QUESTION # 34
                                    You need to recommend a Fabric streaming solution that will use the sources shown in the following table.

                                    The solution must minimize development effort.
                                    What should you include in the recommendation for each source? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:


                                    NEW QUESTION # 35
                                    You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)

                                    Dynamic Data Copy does NOT use parametrization.
                                    You need to configure the ForEach activity to receive the list of tables to be copied.
                                    How should you complete the pipeline expression? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 36
                                    ......

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