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Microsoft DP-700 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement and manage an analytics solution30โ€“35%- Configure workspace settings
  • 1. Configure OneLake workspace settings
    • 2. Configure domain workspace settings
      • 3. Configure Microsoft Fabric workspace settings
        • 4. Configure Spark workspace settings
          • 5. Configure Dataflows Gen2 settings
            - Manage data lifecycle and governance
            • 1. Implement data governance with Microsoft Purview
              • 2. Implement data retention and archiving
                • 3. Manage data access and security
                  - Manage data storage
                  • 1. Choose appropriate data stores
                    • 2. Create and manage OneLake shortcuts
                      • 3. Implement data mirroring
                        Topic 2: Monitor and optimize an analytics solution30โ€“35%- Troubleshoot issues
                        • 1. Identify and resolve Dataflow errors
                          • 2. Identify and resolve notebook and Spark errors
                            • 3. Identify and resolve storage and query errors
                              • 4. Identify and resolve pipeline errors
                                - Monitor analytics solutions
                                • 1. Monitor Fabric items and activities
                                  • 2. Configure alerts and notifications
                                    • 3. Monitor semantic model refreshes
                                      • 4. Monitor data ingestion and transformation
                                        - Optimize performance
                                        • 1. Optimize pipelines and data flows
                                          • 2. Optimize Lakehouse and data warehouse performance
                                            • 3. Optimize storage efficiency
                                              • 4. Optimize Spark and query performance
                                                Topic 3: Ingest and transform data30โ€“35%- Orchestrate data operations
                                                • 1. Implement schedules and triggers
                                                  • 2. Orchestrate with notebooks and pipelines
                                                    • 3. Use parameters and dynamic expressions
                                                      - Design and implement data loading patterns
                                                      • 1. Design streaming data loading patterns
                                                        • 2. Design full and incremental data loads
                                                          • 3. Prepare data for dimensional models
                                                            - Ingest data
                                                            • 1. Ingest data using Dataflows Gen2
                                                              • 2. Ingest data using Eventstreams
                                                                • 3. Ingest data using pipelines
                                                                  - Transform data
                                                                  • 1. Clean, denormalize, and aggregate data
                                                                    • 2. Transform data using PySpark
                                                                      • 3. Transform data using SQL
                                                                        • 4. Transform data using KQL

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                                                                          New New DP-700 Exam Duration 100% Pass | Professional Test DP-700 Dumps Demo: Implementing Data Engineering Solutions Using Microsoft Fabric

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                                                                          Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q51-Q56):

                                                                          NEW QUESTION # 51
                                                                          You have a Fabric workspace that contains a warehouse named Warehouse1 Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:
                                                                          * CustomerName
                                                                          * CustomerlD
                                                                          * Birth Date
                                                                          * Email
                                                                          You need to configure security to meet the following requirements:
                                                                          * Birth Date in DimCustomer must be masked and display 1960-01-01
                                                                          * Email in DimCustomer must be masked and display only the first leading character and the last five characters.
                                                                          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 # 52
                                                                          You are implementing the following data entities in a Fabric environment:
                                                                          Entity1: Available in a lakehouse and contains data that will be used as a core organization entity Entity2: Available in a semantic model and contains data that meets organizational standards Entity3: Available in a Microsoft Power BI report and contains data that is ready for sharing and reuse Entity4: Available in a Power BI dashboard and contains approved data for executive-level decision making Your company requires that specific governance processes be implemented for the data.
                                                                          You need to apply endorsement badges to the entities based on each entity's use case.
                                                                          Which badge should you apply to each entity? To answer, drag the appropriate badges the correct entities. Each badge may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                                          NOTE: Each correct selection is worth one point.

                                                                          Answer:

                                                                          Explanation:


                                                                          NEW QUESTION # 53
                                                                          You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modelled by using MD5 hash surrogate keys.
                                                                          DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year.
                                                                          You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values.
                                                                          Users report that the performance of some of the reports has degraded over time and some visuals show errors.
                                                                          You need to resolve the performance issues. The solution must meet the following requirements:
                                                                          Provide the best query performance.
                                                                          Minimize operational costs.
                                                                          Which should you do?

                                                                          Answer: D

                                                                          Explanation:
                                                                          In this case, the key issue causing performance degradation likely stems from the use of MD5 hash surrogate keys. MD5 hashes are 128-bit values, which can be inefficient for large datasets like the 500 million rows in your fact table. Using a more efficient data type for surrogate keys (such as integer or bigint) would reduce the storage and processing overhead, leading to better query performance. This approach will improve performance while minimizing operational costs because it reduces the complexity of querying and indexing, as smaller data types are generally faster and more efficient to process.


                                                                          NEW QUESTION # 54
                                                                          Your company has three newly created data engineering teams named Team1, Team2, and Team3 that plan to use Fabric. The teams have the following personas:
                                                                          * Team1 consists of members who currently use Microsoft Power BI. The team wants to transform data by using by a low-code approach.
                                                                          * Team2 consists of members that have a background in Python programming. The team wants to use PySpark code to transform data.
                                                                          * Team3 consists of members who currently use Azure Data Factory. The team wants to move data between source and sink environments by using the least amount of effort.
                                                                          You need to recommend tools for the teams based on their current personas.
                                                                          What should you recommend for each team? To answer, select the appropriate options in the answer area.
                                                                          NOTE: Each correct selection is worth one point.

                                                                          Answer:

                                                                          Explanation:

                                                                          Explanation:


                                                                          NEW QUESTION # 55
                                                                          You have a Fabric workspace.
                                                                          You plan to deploy two Apache Spark environments that will each contain one of the following notebooks:
                                                                          * Notebook 1: A data ingestion notebook that will run as a scheduled Spark job
                                                                          * Notebook2; An ad hoc notebook for interactive data analysis that will be used by a team of analysts and data scientists You need to configure the Spark environments to meet the following requirements:
                                                                          * For the environment that contains Notebook 1, minimize compute costs.
                                                                          * For the environment that contains Notebook2, support multiple concurrent users.
                                                                          What should you use for each environment? To answer, select the appropriate options in the answer area.
                                                                          NOTE: Each correct selection is worth one point.

                                                                          Answer:

                                                                          Explanation:

                                                                          Explanation:


                                                                          NEW QUESTION # 56
                                                                          ......

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