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Microsoft DP-700 Exam Syllabus Topics:

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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q140-Q145):

                                    NEW QUESTION # 140
                                    You have a Fabric capacity that contains a workspace named Workspace1. Workspace1 contains a lakehouse named Lakehouse1, a data pipeline, a notebook, and several Microsoft Power BI reports.
                                    A user named User1 wants to use SQL to analyze the data in Lakehouse1.
                                    You need to configure access for User1. The solution must meet the following requirements:
                                    Provide User1 with read access to the table data in Lakehouse1.
                                    Prevent User1 from using Apache Spark to query the underlying files in Lakehouse1.
                                    Prevent User1 from accessing other items in Workspace1.
                                    What should you do?

                                    Answer: C

                                    Explanation:
                                    To meet the specified requirements for User1, the solution must ensure:
                                    Read access to the table data in Lakehouse1: User1 needs permission to access the data within Lakehouse1. By sharing Lakehouse1 with User1 and selecting the Read all SQL endpoint data option, User1 will be able to query the data via SQL endpoints.
                                    Prevent Apache Spark usage: By sharing the lakehouse directly and selecting the SQL endpoint data option, you specifically enable SQL-based access to the data, preventing User1 from using Apache Spark to query the data.
                                    Prevent access to other items in Workspace1: Assigning User1 the Viewer role for Workspace1 ensures that User1 can only view the shared items (in this case, Lakehouse1), without accessing other resources such as notebooks, pipelines, or Power BI reports within Workspace1.
                                    This approach provides the appropriate level of access while restricting User1 to only the required resources and preventing access to other workspace assets.


                                    NEW QUESTION # 141
                                    You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains the following tables and columns.

                                    You need to denormalize the tables and include the ContractType and StartDate columns in the Employee table. The solution must meet the following requirements:
                                    How should you complete the statement? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:


                                    NEW QUESTION # 142
                                    You need to create a workflow for the new book cover images.
                                    Which two components should you include in the workflow? Each correct answer presents part of the solution.
                                    NOTE: Each correct selection is worth one point.

                                    Answer: A,F


                                    NEW QUESTION # 143
                                    You have a Fabric workspace named Workspace1 that contains the items shown in the following table.

                                    For Model1, the Keep your Direct Lake data up to date option is disabled.
                                    You need to configure the execution of the items to meet the following requirements:
                                    How should you orchestrate each item? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:


                                    NEW QUESTION # 144
                                    Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                                    After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                                    You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:
                                    BikepointID
                                    Street
                                    Neighbourhood
                                    No_Bikes
                                    No_Empty_Docks
                                    Timestamp
                                    You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.
                                    Solution: You use the following code segment:

                                    Does this meet the goal?

                                    Answer: A

                                    Explanation:
                                    This code does not meet the goal because it uses sort by without specifying the order, which defaults to ascending, but explicitly mentioning asc improves clarity.
                                    Correct code should look like:


                                    NEW QUESTION # 145
                                    ......

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