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Microsoft DP-300 Exam Syllabus Topics:

SectionObjectives
Topic 1: Monitor and optimize operational resources- Monitor database performance
  • 1. Use Azure Monitor and Log Analytics
    • 2. Identify performance bottlenecks
      - Optimize resources
      • 1. Scale compute and storage
        • 2. Tune performance configuration
          Topic 2: Plan and implement a high availability and disaster recovery environment- Design HA/DR solutions
          • 1. Implement geo-replication
            • 2. Configure failover groups
              - Backup and restore
              • 1. Point-in-time restore
                • 2. Automated backups
                  Topic 3: Perform automation- Automate database tasks
                  • 1. Use Azure Automation
                    • 2. Implement scheduled maintenance
                      Topic 4: Implement a secure environment- Implement data protection
                      • 1. Data classification and auditing
                        • 2. Encryption at rest and in transit
                          - Manage database authentication and authorization
                          • 1. Configure Azure Active Directory authentication
                            • 2. Manage database roles and permissions
                              Topic 5: Plan and implement data platform resources- Plan and configure security for the data platform
                              • 1. Configure network security
                                • 2. Implement authentication and authorization
                                  - Deploy and configure infrastructure
                                  • 1. Configure compute and storage resources
                                    • 2. Select appropriate Azure database services
                                      Topic 6: Optimize query performance- Analyze query performance
                                      • 1. Use Query Store and execution plans
                                        • 2. Identify inefficient queries
                                          - Improve performance
                                          • 1. Query tuning techniques
                                            • 2. Index optimization

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                                              Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q480-Q485):

                                              NEW QUESTION # 480
                                              You have a Microsoft SQL Server 2019 database named DB1 and an Azure SQL managed instance named SQLMI1.
                                              You need to move a SQL Server Agent job from DB1 to SQLMI1.
                                              Which job attribute is unsupported in SQLMI1?

                                              Answer: A

                                              Explanation:
                                              https://learn.microsoft.com/en-us/answers/questions/122544/azure-sql-managed-instance-sql-agent-job-output-st


                                              NEW QUESTION # 481
                                              You have an Azure Active Directory (Azure AD) tenant named contoso.com that contains a user named user1@contoso.com and an Azure SQL managed instance named SQLMI1.
                                              You need to ensure that user1@contoso.com can create logins in SQLMI1 that map to Azure AD service principals.
                                              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:

                                              1 - Grant SQLMI1 read access to Azure AD.
                                              2 - Run CREATE LOGIN,,,,,
                                              3 - Run AKTER SERVER,,,,,
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/aad-security-configure-tutorial


                                              NEW QUESTION # 482
                                              You are building a database in an Azure Synapse Analytics serverless SQL pool.
                                              You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.
                                              Records are structured as shown in the following sample.

                                              The records contain two applicants at most.
                                              You need to build a table that includes only the address fields.
                                              How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
                                              NOTE: Each correct selection is worth one point.

                                              Answer:

                                              Explanation:

                                              Explanation:

                                              Box 1: CREATE EXTERNAL TABLE
                                              An external table points to data located in Hadoop, Azure Storage blob, or Azure Data Lake Storage. External tables are used to read data from files or write data to files in Azure Storage. With Synapse SQL, you can use external tables to read external data using dedicated SQL pool or serverless SQL pool.
                                              Syntax:
                                              CREATE EXTERNAL TABLE { database_name.schema_name.table_name | schema_name.table_name | table_name } ( <column_definition> [ ,...n ] ) WITH ( LOCATION = 'folder_or_filepath', DATA_SOURCE = external_data_source_name, FILE_FORMAT = external_file_format_name Box 2. OPENROWSET When using serverless SQL pool, CETAS is used to create an external table and export query results to Azure Storage Blob or Azure Data Lake Storage Gen2.
                                              Example:
                                              AS
                                              SELECT decennialTime, stateName, SUM(population) AS population
                                              FROM
                                              OPENROWSET(BULK
                                              'https://azureopendatastorage.blob.core.windows.net/censusdatacontainer/release/us_population_county/year=*/* FORMAT='PARQUET') AS [r] GROUP BY decennialTime, stateName GO Reference:
                                              https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables


                                              NEW QUESTION # 483
                                              You create five Azure SQL Database instances on the same logical server.
                                              In each database, you create a user for an Azure Active Directory (Azure AD) user named User1.
                                              User1 attempts to connect to the logical server by using Azure Data Studio and receives a login error.
                                              You need to ensure that when User1 connects to the logical server by using Azure Data Studio, User1 can see all the databases.
                                              What should you do?

                                              Answer: B

                                              Explanation:
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/azure-sql/database/logins-create-manage


                                              NEW QUESTION # 484
                                              Based on the PaaS prototype, which Azure SQL Database compute tier should you use?

                                              Answer: A

                                              Explanation:
                                              There are CPU and Data I/O spikes for the PaaS prototype. Business Critical 4-vCore is needed.
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/azure-sql/database/reserved-capacity-overview
                                              Topic 3, ADatum Corporation
                                              Existing Environment
                                              ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
                                              SALESDB collects data from the stores and the website.
                                              DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
                                              REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
                                              Requirements
                                              Planned Changes
                                              ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
                                              Migrate SALESDB and REPORTINGDB to an Azure SQL database.
                                              Migrate DOCDB to Azure Cosmos DB.
                                              The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
                                              As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
                                              Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
                                              Technical Requirements
                                              The new Azure data infrastructure must meet the following technical requirements:
                                              Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
                                              SALESDB must be restorable to any given minute within the past three weeks.
                                              Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
                                              Missing indexes must be created automatically for REPORTINGDB.
                                              Disk IO, CPU, and memory usage must be monitored for SALESDB.


                                              NEW QUESTION # 485
                                              ......

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