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Microsoft DP-700 Exam Syllabus Topics:

SectionObjectives
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. PySpark data processing
        • 2. Notebooks in Microsoft Fabric
          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
                  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. Ingest streaming data using Real-Time Analytics
                        • 2. Use Pipelines for data movement
                          • 3. Use Dataflows Gen2 for ingestion
                            Manage and monitor data solutions- Monitor pipelines and workloads
                            • 1. Configure alerts and logging
                              • 2. Monitor data pipeline runs
                                - Optimize performance and reliability
                                • 1. Spark job optimization
                                  • 2. Capacity and workload management in Fabric

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                                    Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q142-Q147):

                                    NEW QUESTION # 142
                                    You have a Google Cloud Storage (GCS) container named storage1 that contains the files shown in the following table.

                                    You have a Fabric workspace named Workspace1 that has the cache for shortcuts enabled. Workspace1 contains a lakehouse named Lakehouse1. Lakehouse1 has the shortcuts shown in the following table.

                                    You need to read data from all the shortcuts.
                                    Which shortcuts will retrieve data from the cache?

                                    Answer: A

                                    Explanation:
                                    When reading data from shortcuts in Fabric (in this case, from a lakehouse like Lakehouse1), the cache for shortcuts helps by storing the data locally for quick access. The last accessed timestamp and the cache expiration rules determine whether data is fetched from the cache or from the source (Google Cloud Storage, in this case).
                                    Products: The ProductFile.parquet was last accessed 12 hours ago. Since the cache has data available for up to 12 hours, it is likely that this data will be retrieved from the cache, as it hasn't been too long since it was last accessed.
                                    Stores: The StoreFile.json was last accessed 4 hours ago, which is within the cache retention period. Therefore, this data will also be retrieved from the cache.
                                    Trips: The TripsFile.csv was last accessed 48 hours ago. Given that it's outside the typical caching window (assuming the cache has a maximum retention period of around 24 hours), it would not be retrieved from the cache. Instead, it will likely require a fresh read from the source.


                                    NEW QUESTION # 143
                                    You need to implement the solution for the book reviews.
                                    Which should you do?

                                    Answer: D

                                    Explanation:
                                    The requirement specifies that Litware plans to make the book reviews available in the lakehouse without making a copy of the data. In this case, creating a shortcut in Fabric is the most appropriate solution. A shortcut is a reference to the external data, and it allows Litware to access the book reviews stored in Amazon S3 without duplicating the data into the lakehouse.


                                    NEW QUESTION # 144
                                    You have a table in a Fabric lakehouse that contains the following data.

                                    You have a notebook that contains 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.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 145
                                    You have the development groups shown in the following table.

                                    You have the projects shown in the following table.

                                    You need to recommend which Fabric item to use based on each development group ' s skillset The solution must meet the project requirements and minimize development effort What should you recommend for each group? To answer, select the appropriate options in the answer area.
                                    NOTE: Each correct selection is worth one point.

                                    Answer:

                                    Explanation:

                                    Explanation:


                                    NEW QUESTION # 146
                                    You have a Fabric workspace named Workspace1 that contains a notebook named Notebook1.
                                    In Workspace1, you create a new notebook named Notebook2.
                                    You need to ensure that you can attach Notebook2 to the same Apache Spark session as Notebook1.
                                    What should you do?

                                    Answer: A

                                    Explanation:
                                    To ensure that Notebook2 can attach to the same Apache Spark session as Notebook1, you need to enable high concurrency for notebooks. High concurrency allows multiple notebooks to share a Spark session, enabling them to run within the same Spark context and thus share resources like cached data, session state, and compute capabilities. This is particularly useful when you need notebooks to run in sequence or together while leveraging shared resources.


                                    NEW QUESTION # 147
                                    ......

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