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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Design and implement data ingestion solutions- Ingest batch and streaming data into Microsoft Fabric
  • 1. Use Dataflows Gen2 for ingestion
    • 2. Ingest streaming data using Real-Time Analytics
      • 3. Use Pipelines for data movement
        - Integrate external data sources
        • 1. Connect to Azure data services
          • 2. Connect to on-premises and SaaS sources
            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
                    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
                            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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q139-Q144):

                                    NEW QUESTION # 139
                                    HOTSPOT
                                    You have a Fabric workspace.
                                    You are debugging a statement and discover the following issues:
                                    Sometimes, the statement fails to return all the expected rows.
                                    The PurchaseDate output column is NOT in the expected format of mmm dd, yy.
                                    You need to resolve the issues. The solution must ensure that the data types of the results are retained. The results can contain blank cells.
                                    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:

                                    Explanation:


                                    NEW QUESTION # 140
                                    You have a Fabric workspace that contains an eventhouse named Eventhouse1.
                                    In Eventhouse1, you plan to create a table named DeviceStreamData in a KQL database. The table will contain data based on the following sample.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 141
                                    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 this is an SQL-like query and cannot be executed in KQL, which is required for the database.
                                    Correct code should look like:


                                    NEW QUESTION # 142
                                    You have a Fabric workspace that contains a warehouse named DW1. DW1 is loaded by using a notebook named Notebook1.
                                    You need to identify which version of Delta was used when Notebook1 was executed.
                                    What should you use?

                                    Answer: C

                                    Explanation:
                                    To identify the version of Delta used when Notebook1 was executed, you should use the Admin monitoring workspace. The Admin monitoring workspace allows you to track and monitor detailed information about the execution of notebooks and jobs, including the underlying versions of Delta or other technologies used. It provides insights into execution details, including versions and configurations used during job runs, making it the most appropriate choice for identifying the Delta version used during the execution of Notebook1.


                                    NEW QUESTION # 143
                                    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 # 144
                                    ......

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