Microsoft DP-700 Latest Test Format | Top DP-700 Exam Dumps

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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop data transformation solutions- Data modeling and lakehouse transformation
  • 1. Medallion architecture (Bronze/Silver/Gold)
    • 2. Delta Lake optimization
      - Transform data using Spark in Fabric
      • 1. Notebooks in Microsoft Fabric
        • 2. PySpark data processing
          Topic 2: Design and implement data ingestion solutions- Ingest batch and streaming data into Microsoft Fabric
          • 1. Use Dataflows Gen2 for ingestion
            • 2. Use Pipelines for data movement
              • 3. Ingest streaming data using Real-Time Analytics
                - Integrate external data sources
                • 1. Connect to on-premises and SaaS sources
                  • 2. Connect to Azure data services
                    Topic 3: 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
                            Topic 4: 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

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q81-Q86):

                                    NEW QUESTION # 81
                                    You need to create the product dimension.
                                    How should you complete the Apache Spark SQL code? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:
                                    A screenshot of a computer Description automatically generated

                                    Join between Products and ProductSubCategories:
                                    Use an INNER JOIN.
                                    The goal is to include only products that are assigned to a subcategory. An INNER JOIN ensures that only matching records (i.e., products with a valid subcategory) are included.
                                    Join between ProductSubCategories and ProductCategories:
                                    Use an INNER JOIN.
                                    Similar to the above logic, we want to include only subcategories assigned to a valid product category. An INNER JOIN ensures this condition is met.
                                    WHERE Clause
                                    Condition: IsActive = 1
                                    Only active products (where IsActive equals 1) should be included in the gold layer. This filters out inactive products.


                                    NEW QUESTION # 82
                                    You need to ensure that the data engineer s 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 # 83
                                    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 KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.

                                    Reference contains reference data in the following format.

                                    Both tables contain millions of rows.
                                    You have the following KQL queryset.

                                    You need to reduce how long it takes to run the KQL queryset.
                                    Solution: You move the filter to line 02.
                                    Does this meet the goal?

                                    Answer: B

                                    Explanation:
                                    Moving the filter to line 02: Filtering the Stream table before performing the join operation reduces the number of rows that need to be processed during the join. This is an effective optimization technique for queries involving large datasets.


                                    NEW QUESTION # 84
                                    You need to ensure that processes for the bronze and silver layers run in isolation How should you configure the Apache Spark settings?

                                    Answer: B


                                    NEW QUESTION # 85
                                    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 # 86
                                    ......

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