Exam DP-700 Exercise & DP-700 VCE Dumps

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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
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
            Manage and monitor data solutions- Optimize performance and reliability
            • 1. Capacity and workload management in Fabric
              • 2. Spark job optimization
                - Monitor pipelines and workloads
                • 1. Monitor data pipeline runs
                  • 2. Configure alerts and logging
                    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
                            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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q45-Q50):

                                    NEW QUESTION # 45
                                    You have a Fabric workspace named Workspace1 that is connected to a GitHub repository named repo1.
                                    Workspace1 contains the items shown in the following table.

                                    You modify Semantic model 1, Semanticmodel2, and Report2.
                                    You need to commit the changes to repo1.
                                    What is the minimum number of commits you should perform?

                                    Answer: C


                                    NEW QUESTION # 46
                                    You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse! contains a table named Customer. Customer contains the following data.

                                    You have an internal Microsoft Entra user named User1 that has an email address of user1@contoso.com.
                                    You need to provide User1 with access to the Customer table. The solution must prevent User1 from accessing the CreditCard column.
                                    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 # 47
                                    You plan to process the following three datasets by using Fabric:
                                    * Dataset1: This dataset will be added to Fabric and will have a unique primary key between the source and the destination. The unique primary key will be an integer and will start from 1 and have an increment of 1.
                                    * Dataset2: This dataset contains semi-structured data that uses bulk data transfer. The dataset must be handled in one process between the source and the destination. The data transformation process will include the use of custom visuals to understand and work with the dataset in development mode.
                                    * Dataset3. This dataset is in a takehouse. The data will be bulk loaded. The data transformation process will include row-based windowing functions during the loading process.
                                    You need to identify which type of item to use for the datasets. The solution must minimize development effort and use built-in functionality, when possible. What should you identify for each dataset? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 48
                                    You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse! contains a table named Customer. Customer contains the following data.

                                    You have an internal Microsoft Entra user named User1 that has an email address of user1@contoso.com.
                                    You need to provide User1 with access to the Customer table. The solution must prevent User1 from accessing the CreditCard column.
                                    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 # 49
                                    You have an Azure subscription that contains a blob storage account named sa1. Sa1 contains two files named Filelxsv and File2.csv.
                                    You have a Fabric tenant that contains the items shown in the following table.

                                    You need to configure Pipeline1 to perform the following actions:
                                    * At 2 PM each day, process Filel.csv and load the file into flhl.
                                    * At 5 PM each day. process File2.csv and load the file into flhl.
                                    The solution must minimize development effort. What should you use?

                                    Answer: B


                                    NEW QUESTION # 50
                                    ......

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