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Skills Measured in DP-300 Exam
Planning and Implementation of Data Platform Resources
- Resource configuration for performance and scale
- Configuration of Azure SQL database pools for performance and scale
- Configuring managed instances for Azure SQL for performance and scale
- SQL Server configuration in Azure VMs
- Calculation of resource requirements
- Evaluation of partitioning techniques for databases such as database sharding
- Implementing an upgrading a migration strategy for shifting to Azure
- Migration strategy for online and offline
- Upgrade strategy for online and offline
- Recommending appropriate database solution based on specific needs
- Evaluating needs for the deployments
- Predicting the benefits of possible database solutions
- Assessing scalability for possible database solution as well as its HADR
- Identifying security features of appropriate database solution
- Strategy evaluation for shifting to Azure
- Requirements evaluation for migration
- Planning online and offline migration strategies
- Upgrade requirements
- Online and offline upgrade strategies
- Using manual methods to deploy resources
- Deploying database offerings on the certain platforms
- Configuration of customized deployment templates
- Applying updates and patches for IaaS and hybrid deployment
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Career Prospects
As a certified Azure database administrator, there are different job roles that you can explore. These include a Database Administrator, a Database Engineer, a Database Architect, a System Administrator, an IT Azure Cloud Engineer, and a Service Engineer, among others. The average salary to expect from any of these positions is $77,670 per annum. However, the professionals with advanced experience can earn above the average industry standard.
Query Performance Optimization
- Reviewing index design and database table
- Identifying issues on data quality and data duplication
- Database tables
- Assessing index design
- Validating data types
- Recommending table and index storage including file groups
- Evaluation of table partitioning strategy
- Compression for indexes and tables
- Evaluation of Performance improvements
- Determining the ideal Dynamic Management Views (DMVs) to collect information relating query performance
- Using DMVs to identify performance issues
- Implementation and identification of index changes for queries
- Assessing the importance of hints in query performance
- Defining query construct modifications
- Reviewing query plans
- Determining the ideal execution plan
- Identification of problem sections in execution plans
- Extraction of query plans from the Query Store
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