DP-700최고기출문제 & DP-700시험패스인증덤프문제

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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: 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. Configure alerts and logging
                • 2. Monitor data pipeline runs
                  Topic 3: 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. 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. Microsoft Purview integration
                              • 2. Data lineage and cataloging
                                - Implement data security
                                • 1. Row-level security and column-level security
                                  • 2. Workspace and item-level permissions

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                                    최신 Microsoft Certified: Fabric Data Engineer Associate DP-700 무료샘플문제 (Q102-Q107):

                                    질문 # 102
                                    HOTSPOT
                                    You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains the following tables and columns.

                                    You need to denormalize the tables and include the ContractType and StartDate columns in the Employee table. The solution must meet the following requirements:
                                    Ensure that the StartDate column is of the date data type.
                                    Ensure that all the rows from the Employee table are preserved and include any matching rows from the Contract table.
                                    Ensure that the result set displays the total number of employees per contract type for all the contract types that have more than two employees.
                                    How should you complete the statement? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    정답:

                                    설명:

                                    Explanation:


                                    질문 # 103
                                    HOTSPOT
                                    You are building a data loading pattern for Fabric notebook workloads.
                                    You have the following code segment:

                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                    NOTE: Each correct selection is worth one point.

                                    정답:

                                    설명:

                                    Explanation:


                                    질문 # 104
                                    You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1.
                                    You need to automate a PySpark-based data transformation process. The solution must meet the following requirements:
                                    * Ensure that users can edit and test the PySpark code interactively.
                                    * Ensure that the code can be operationalized for automated execution.
                                    Which three actions should you perform in sequence?

                                    정답:

                                    설명:

                                    Explanation:
                                    The correct sequence is Create a notebook # Attach the notebook to Lakehouse1 # Create a data pipeline
                                    .
                                    First, create a Fabric notebook because notebooks provide the interactive development environment required for authoring, executing, debugging, and testing PySpark code. Microsoft describes Fabric notebooks as a primary code item for developing Apache Spark workloads and specifically supports their use for data ingestion, preparation, and transformation.
                                    Second, attach the notebook to Lakehouse1 . Attaching a lakehouse establishes the notebook ' s lakehouse context, allowing PySpark code to access the lakehouse ' s Files and Tables through Spark and OneLake. This enables developers to interactively validate the transformation against the required Fabric data.
                                    Third, create a data pipeline and use a Notebook activity to operationalize the notebook. Fabric Data Factory explicitly supports running Fabric notebooks as pipeline activities for automated data transformation workflows. Pipelines can subsequently be run manually, scheduled, or incorporated into larger orchestration processes.
                                    Converting the notebook to an Apache Spark job definition is unnecessary; Spark job definitions are separate executable Fabric items. Publishing the notebook is also not required for pipeline execution.
                                    Study Guide reference: Ingest and transform data # Transform data with Apache Spark # Fabric notebooks # Orchestrate processes and schedules with Data Factory pipelines.


                                    질문 # 105
                                    HOTSPOT
                                    You have a Fabric workspace named Workspace1_DEV that contains the following items:
                                    10 reports
                                    Four notebooks
                                    Three lakehouses
                                    Two data pipelines
                                    Two Dataflow Gen1 dataflows
                                    Three Dataflow Gen2 dataflows
                                    Five semantic models that each has a scheduled refresh policy
                                    You create a deployment pipeline named Pipeline1 to move items from Workspace1_DEV to a new workspace named Workspace1_TEST.
                                    You deploy all the items from Workspace1_DEV to Workspace1_TEST.
                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                    NOTE: Each correct selection is worth one point.

                                    정답:

                                    설명:

                                    Explanation:


                                    질문 # 106
                                    You have a Fabric workspace named WS1 that is connected to the main branch of an Azure DevOps Git repository. WS1 contains a lakehouse a notebook and a pipeline.
                                    Two data engineer must update the notebook and people concurrently for separate features.
                                    You need to configure version control to support isolated feature development and controlled integration into the main branch.
                                    The solution must meet the following requirements:
                                    Prevent one engineer's reviewed workspace changes from affecting the other engineer workspace.
                                    Support a review before changes are integrated into the main branch.
                                    Track changes to the Fabric items in Git.
                                    How should you configure the development workflow? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    정답:

                                    설명:

                                    Explanation:


                                    질문 # 107
                                    ......

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