Microsoft - Pass-Sure DP-700 - Examcollection Implementing Data Engineering Solutions Using Microsoft Fabric Dumps

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Microsoft DP-700 Exam Syllabus Topics:

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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q32-Q37):

                                    NEW QUESTION # 32
                                    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 # 33
                                    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:


                                    NEW QUESTION # 34
                                    You have a Fabric workspace that contains a semantic model named Modell. You need to monitor the refresh history of Model 1 and visualize the refresh history in a chart. What should you use?

                                    Answer: D


                                    NEW QUESTION # 35
                                    You have a Fabric lakehouse that contains the resources shown in the following table.

                                    You need to use a notebook to query for customers in the United States and load the filtered data into USCustomers. The solution must minimize the number of scripts used.
                                    Which statement should you use?

                                    Answer: D


                                    NEW QUESTION # 36
                                    You have the development groups shown in the following table.

                                    You have the projects shown in the following table.

                                    You need to recommend which Fabric item to use based on each development group's skillset The solution must meet the project requirements and minimize development effort What should you recommend for each group? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 37
                                    ......

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