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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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. Data lineage and cataloging
        • 2. Microsoft Purview integration
          Topic 2: 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. Use Dataflows Gen2 for ingestion
                  • 3. Ingest streaming data using Real-Time Analytics
                    Topic 3: Develop data transformation solutions- Transform data using Spark in Fabric
                    • 1. PySpark data processing
                      • 2. Notebooks in Microsoft Fabric
                        - Data modeling and lakehouse transformation
                        • 1. Delta Lake optimization
                          • 2. Medallion architecture (Bronze/Silver/Gold)
                            Topic 4: 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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q100-Q105):

                                    NEW QUESTION # 100
                                    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: C


                                    NEW QUESTION # 101
                                    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 it uses order by, which is not valid in KQL. The correct term in KQL is sort by.
                                    Correct code should look like:

                                    Topic 1, Litware, IncCase Study
                                    This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
                                    To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
                                    At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
                                    To start the case study
                                    To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
                                    Overview
                                    Litware, Inc. is a publishing company that has an online bookstore and several retail bookstores worldwide.
                                    Litware also manages an online advertising business for the authors it represents.
                                    Existing Environment. Fabric Environment
                                    Litware has a Fabric workspace named Workspace1. High concurrency is enabled for Workspace1.
                                    The company has a data engineering team that uses Python for data processing.
                                    Existing Environment. Data Processing
                                    The retail bookstores send sales data at the end of each business day, while the online bookstore constantly provides logs and sales data to a central enterprise resource planning (ERP) system.
                                    Litware implements a medallion architecture by using the following three layers: bronze, silver, and gold. The sales data is ingested from the ERP system as Parquet files that land in the Files folder in a lakehouse.
                                    Notebooks are used to transform the files in a Delta table for the bronze and silver layers. The gold layer is in a warehouse that has V-Order disabled.
                                    Litware has image files of book covers in Azure Blob Storage. The files are loaded into the Files folder.
                                    Existing Environment. Sales Data
                                    Month-end sales data is processed on the first calendar day of each month. Data that is older than one month never changes.
                                    In the source system, the sales data refreshes every six hours starting at midnight each day.
                                    The sales data is captured in a Dataflow Gen1 dataflow. When the dataflow runs, new and historical data is captured. The dataflow captures the following fields of the source:
                                    Sales Date
                                    Author
                                    Price
                                    Units
                                    SKU
                                    A table named AuthorSales stores the sales data that relates to each author. The table contains a column named AuthorEmail. Authors authenticate to a guest Fabric tenant by using their email address.
                                    Existing Environment. Security Groups
                                    Litware has the following security groups:
                                    Sales
                                    Fabric Admins
                                    Streaming Admins
                                    Existing Environment. Performance Issues
                                    Business users perform ad-hoc queries against the warehouse. The business users indicate that reports against the warehouse sometimes run for two hours and fail to load as expected. Upon further investigation, the data engineering team receives the following error message when the reports fail to load: "The SQL query failed while running." The data engineering team wants to debug the issue and find queries that cause more than one failure.
                                    When the authors have new book releases, there is often an increase in sales activity. This increase slows the data ingestion process.
                                    The company's sales team reports that during the last month, the sales data has NOT been up-to-date when they arrive at work in the morning.
                                    Requirements. Planned Changes
                                    Litware recently signed a contract to receive book reviews. The provider of the reviews exposes the data in Amazon Simple Storage Service (Amazon S3) buckets.
                                    Litware plans to manage Search Engine Optimization (SEO) for the authors. The SEO data will be streamed from a REST API.
                                    Requirements. Version Control
                                    Litware plans to implement a version control solution in Fabric that will use GitHub integration and follow the principle of least privilege.
                                    Requirements. Governance Requirements
                                    To control data platform costs, the data platform must use only Fabric services and items. Additional Azure resources must NOT be provisioned.
                                    Requirements. Data Requirements
                                    Litware identifies the following data requirements:
                                    Process the SEO data in near-real-time (NRT).
                                    Make the book reviews available in the lakehouse without making a copy of the data.
                                    When a new book cover image arrives in the Files folder, process the image as soon as possible.


                                    NEW QUESTION # 102
                                    You are building a Fabric notebook named MasterNotebookl in a workspace. MasterNotebookl contains the following code.

                                    You need to ensure that the notebooks are executed in the following sequence:
                                    1. Notebook_03
                                    2. Notebook.Ol
                                    3. Notebook_02
                                    Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

                                    Answer: D,F


                                    NEW QUESTION # 103
                                    You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains a table named Customer. Customer contains the following data.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 104
                                    Your company has a team of developers. The team creates Python libraries of reusable code that is used to transform data.
                                    You create a Fabric workspace name Workspace1 that will be used to develop extract, transform, and load (ETL) solutions by using notebooks.
                                    You need to ensure that the libraries are available by default to new notebooks in Workspace1.
                                    Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

                                    Answer:

                                    Explanation:


                                    NEW QUESTION # 105
                                    ......

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