Test Microsoft DP-700 Cram Review, DP-700 Exam Topics

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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop data transformation solutions- Data modeling and lakehouse transformation
  • 1. Delta Lake optimization
    • 2. Medallion architecture (Bronze/Silver/Gold)
      - Transform data using Spark in Fabric
      • 1. Notebooks in Microsoft Fabric
        • 2. PySpark data processing
          Topic 2: 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
                  Topic 3: 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. Use Pipelines for data movement
                        • 2. Ingest streaming data using Real-Time Analytics
                          • 3. Use Dataflows Gen2 for ingestion
                            Topic 4: Secure and govern data in Microsoft Fabric- Data governance and compliance
                            • 1. Data lineage and cataloging
                              • 2. Microsoft Purview integration
                                - Implement data security
                                • 1. Row-level security and column-level security
                                  • 2. Workspace and item-level permissions

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                                    DP-700 - Latest Test Implementing Data Engineering Solutions Using Microsoft Fabric Cram Review

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q120-Q125):

                                    NEW QUESTION # 120
                                    You have a Fabric workspace that contains a lakehouse named Lakehousel. Lakehousel contains a table named Status_Target that has the following columns:
                                    * Key
                                    * Status
                                    * LastModified
                                    The data source contains a table named Status.Source that has the same columns as Status_Target. Status.
                                    Source is used to populate Status_Target. In a notebook name Notebook!, you load Status_Source to a DataFrame named sourceDF and Status_Target to a DataFrame named targetDF. You need to implement an incremental loading pattern by using Notebook-!. The solution must meet the following requirements:
                                    * For all the matching records that have the same value of key, update the value of LastModified in Status_Target to the value of LastModified in Status_Source.
                                    * Insert all the records that exist in Status_Source that do NOT exist in Status_Target.
                                    * Set the value of Status in Status_Target to inactive for all the records that were last modified more than seven days ago and that do NOT exist in Status.Source.
                                    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 # 121
                                    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 # 122
                                    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: B

                                    Explanation:
                                    This code does not meet the goal because it uses order by, which is not valid in KQL. The correct term in KQL is sort by.
                                    Correct code should look like:


                                    NEW QUESTION # 123
                                    You need to ensure that the data engineers are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort.
                                    What should you use? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 124
                                    Exhibit.

                                    You have a Fabric workspace that contains a write-intensive warehouse named DW1. DW1 stores staging tables that are used to load a dimensional model. The tables are often read once, dropped, and then recreated to process new data.
                                    You need to minimize the load time of DW1.
                                    What should you do?

                                    Answer: B


                                    NEW QUESTION # 125
                                    ......

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