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Microsoft DP-300 Exam Syllabus Topics:

SectionWeightObjectives
Monitor and optimize operational resources15–20%- Monitor database performance and health
  • 1. Set up alerts and notifications
    • 2. Identify and diagnose performance issues
      • 3. Use Azure Monitor, SQL Insights, and metrics
        - Optimize resource consumption
        • 1. Implement auto-scaling and elasticity
          • 2. Adjust compute, storage, and tier settings
            • 3. Manage costs and licensing
              - Automate maintenance and operations
              • 1. Automate tasks using jobs, scripts, or Logic Apps
                • 2. Manage database lifecycle operations
                  • 3. Schedule and perform updates and patches
                    Optimize query performance15–20%- Improve query performance
                    • 1. Create and modify indexes
                      • 2. Optimize T-SQL code and constructs
                        • 3. Use query store and performance tuning tools
                          - Analyze query execution plans
                          • 1. Identify bottlenecks and inefficiencies
                            • 2. Interpret execution plans and statistics
                              • 3. Evaluate index usage and design
                                - Manage workload performance
                                • 1. Implement partitioning and compression
                                  • 2. Control resource usage and concurrency
                                    • 3. Troubleshoot slow-running queries
                                      Implement a secure environment20–25%- Configure authentication and authorization
                                      • 1. Implement Microsoft Entra ID authentication
                                        • 2. Apply least privilege principle
                                          • 3. Manage database users, roles, and permissions
                                            - Secure data at rest and in transit
                                            • 1. Implement Transparent Data Encryption
                                              • 2. Configure encryption for connections and data transfer
                                                • 3. Manage keys and certificates
                                                  - Implement compliance and security controls
                                                  • 1. Configure auditing and logging
                                                    • 2. Implement data masking and classification
                                                      • 3. Assess and remediate vulnerabilities
                                                        Plan and configure high availability and disaster recovery20–25%- Design HA/DR strategy
                                                        • 1. Evaluate hybrid and cross-region options
                                                          • 2. Define RPO and RTO requirements
                                                            • 3. Choose between built-in and custom solutions
                                                              - Configure high availability solutions
                                                              • 1. Configure Always On availability groups
                                                                • 2. Implement failover groups and auto-failover
                                                                  • 3. Test and monitor HA/DR operations
                                                                    - Implement backup and restore
                                                                    • 1. Manage backup storage and costs
                                                                      • 2. Perform point-in-time and long-term retention restores
                                                                        • 3. Configure automated backups and retention
                                                                          Plan and implement data platform resources15–20%- Plan deployment of database offerings
                                                                          • 1. Identify use cases for hybrid and multi-cloud solutions
                                                                            • 2. Evaluate deployment options for Azure SQL services
                                                                              • 3. Plan for scalability and performance requirements
                                                                                - Deploy database resources
                                                                                • 1. Configure resources for scale and performance
                                                                                  • 2. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
                                                                                    • 3. Automate deployment using templates, PowerShell, or CLI
                                                                                      - Implement migration strategies
                                                                                      • 1. Evaluate migration requirements and strategies
                                                                                        • 2. Perform offline and online migrations
                                                                                          • 3. Migrate between Azure services or from on-premises

                                                                                            >> DP-300 Unterlage <<

                                                                                            DP-300 Praxisprüfung & DP-300 Vorbereitungsfragen

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                                                                                            Microsoft Administering Relational Databases on Microsoft Azure DP-300 Prüfungsfragen mit Lösungen (Q39-Q44):

                                                                                            39. Frage
                                                                                            You plan to create a table in an Azure Synapse Analytics dedicated SQL pool.
                                                                                            Data in the table will be retained for five years. Once a year, data that is older than five years will be deleted.
                                                                                            You need to ensure that the data is distributed evenly across partitions. The solutions must minimize the amount of time required to delete old data.
                                                                                            How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value 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.

                                                                                            Antwort:

                                                                                            Begründung:

                                                                                            Reference:
                                                                                            https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse
                                                                                            https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool


                                                                                            40. Frage
                                                                                            You need to implement the monitoring of SalesSQLDb1. The solution must meet the technical requirements.
                                                                                            How should you collect and stream metrics? To answer, select the appropriate options in the answer area.
                                                                                            NOTE:Each correct selection is worth one point.

                                                                                            Antwort:

                                                                                            Begründung:

                                                                                            Explanation

                                                                                            Box 1: The server, the elastic pool, and the database
                                                                                            Senario:
                                                                                            SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool.
                                                                                            Litware technical requirements include: all SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
                                                                                            Box 2: Azure Event hubs
                                                                                            Scenario: Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
                                                                                            Event hubs are able to handle custom metrics.


                                                                                            41. Frage
                                                                                            You have an Azure Data Factory instance named ADF1 and two Azure Synapse Analytics workspaces named WS1 and WS2.
                                                                                            ADF1 contains the following pipelines:
                                                                                            * P1:Uses a copy activity to copy data from a nonpartitioned table in a dedicated SQL pool of WS1 to an Azure Data Lake Storage Gen2 account
                                                                                            * P2:Uses a copy activity to copy data from text-delimited files in an Azure Data Lake Storage Gen2 account to a nonpartitioned table in a dedicated SQL pool of WS2 You need to configure P1 and P2 to maximize parallelism and performance.
                                                                                            Which dataset settings should you configure for the copy activity of each pipeline? To answer, select the appropriate options in the answer area.

                                                                                            Antwort:

                                                                                            Begründung:

                                                                                            Explanation:

                                                                                            P1: Set the Partition option to Dynamic Range.
                                                                                            The SQL Server connector in copy activity provides built-in data partitioning to copy data in parallel.
                                                                                            P2: Set the Copy method to PolyBase
                                                                                            Polybase is the most efficient way to move data into Azure Synapse Analytics. Use the staging blob feature to achieve high load speeds from all types of data stores, including Azure Blob storage and Data Lake Store.
                                                                                            (Polybase supports Azure Blob storage and Azure Data Lake Store by default.) Reference:
                                                                                            https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-sql-data-warehouse
                                                                                            https://docs.microsoft.com/en-us/azure/data-factory/load-azure-sql-data-warehouse


                                                                                            42. Frage
                                                                                            You have an Azure Data Lake Storage Gen2 account named account1 that stores logs as shown in the following table.

                                                                                            You do not expect that the logs will be accessed during the retention periods.
                                                                                            You need to recommend a solution for account1 that meets the following requirements:
                                                                                            Automatically deletes the logs at the end of each retention period
                                                                                            Minimizes storage costs
                                                                                            What should you include in the recommendation? To answer, select the appropriate options in the answer area.
                                                                                            NOTE: Each correct selection is worth one point.

                                                                                            Antwort:

                                                                                            Begründung:

                                                                                            Explanation:

                                                                                            Box 1: Store the infrastructure logs in the Cool access tier the application logs in the Archive access tier Hot - Optimized for storing data that is accessed frequently.
                                                                                            Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
                                                                                            Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
                                                                                            Box 2: Azure Blob storage lifecycle management rules
                                                                                            Blob storage lifecycle management offers a rich, rule-based policy that you can use to transition your data to the best access tier and to expire data at the end of its lifecycle.
                                                                                            Reference:
                                                                                            https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers


                                                                                            43. Frage
                                                                                            Hotspot Question
                                                                                            You plan to deploy an Always On failover cluster instance (FCI) on Azure virtual machines.
                                                                                            You need to provision an Azure Storage account to host a cloud witness for the deployment.
                                                                                            How should you configure the storage account? To answer, select the appropriate options in the answer area.
                                                                                            NOTE: Each correct selection is worth one point.

                                                                                            Antwort:

                                                                                            Begründung:


                                                                                            44. Frage
                                                                                            ......

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