DP-300 Administering Relational Databases on Microsoft Azure Course

DP-300 Administering Relational Databases on Microsoft Azure Certification

Administering Relational Databases on Microsoft Azure certificate gives you opportunities to update your knowledge and build your career as an Azure Database Administrator.

DP-300 Administering Relational Databases on Microsoft Azure certificate training is an intermediate-level certificate course. DP-300 Administering Relational Databases on Microsoft Azure certificate validates your knowledge in Perform Administration by Using T-SQL, Plan and Implement Data Platform Resources, Implement a Secure Environment, Monitor and Optimize Operational Resources, Optimize Query Performance, Perform Automation of Tasks, Plan and Implement a High Availability and Disaster Recovery (HADR) Environment.  

With certification DP-300 Administering Relational Databases on Microsoft Azure training course, you will learn how to deploy data resources, configure data resources, evaluate strategies for azure data, recommend databases according to the organisation’s requirement, implement database authentication strategies, performance monitoring, maintain and evaluate database resource, HADR strategies and T-SQL management.

Passing the DP-300 exam certifies you as a Microsoft Certified: Azure Database Administrator Associate

  • Microsoft Azure Fundamentals (AZ-900) and Microsoft Azure Data Fundamentals (DP-900) training recommended

Candidates can achieve this certification by passing the following exam(s).

  • DP-300 Administering Relational Databases on Microsoft Azure

The certification exam can be registered and attempted within 3 months of course/module completion at Logitrain training centre on weekdays during normal business hours (excludes public holidays)

Course material for DP-300 included.

  • Deploy resources by using manual methods
  • Recommend an appropriate database offering based on specific requirements
  • Configure resources for scale and performance
  • Evaluate a strategy for moving to Azure
  • Implement a migration or upgrade strategy for moving to Azure
  • Configure database authentication by using platform and database tools
  • Configure database authorization by using platform and database tools
  • Implement security for data at rest
  • Implement security for data in transit
  • Implement compliance controls for sensitive data
  • Monitor activity and performance
  • Implement performance-related maintenance tasks
  • Identify performance-related issues
  • Configure resources for optimal performance
  • Configure a user database for optimal performance
  • Review query plans
  • Evaluate performance improvements
  • Review database table and index design
  • Manage authentication by using T-SQL
  • Manage authorization by using T-SQL
  • Create scheduled tasks
  • Evaluate and implement an alert and notification strategy
  • Manage and automate tasks in Azure
  • Recommend an HADR strategy for a data platform solution
  • Configure HA/DR by using OS, platform, and database tools
  • Test an HADR strategy by using platform, OS, and database tools
  • Perform backup and restore a database by using database tools
  • Examine system health
  • Monitor database configuration by using T-SQL
  • Perform backup and restore a database by using T-SQL


This course is likely to add to the employment-related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.

  • Azure Database Administrators
  • Azure Engineers
  • Cloud Engineers
  • Database professionals
  • Deploy database offerings on selected platforms
  • Configure customized deployment templates
  • Apply patches and updates for hybrid and IaaS deployment
  • Evaluate requirements for the deployment
  • Evaluate the functional benefits/impact of possible database offerings
  • Evaluate the scalability of the possible database offering
  • Evaluate the HA/DR of the possible database offering
  • Evaluate the security aspects of the possible database offering
  • Configure azure SQL database/elastic pools for scale and performance
  • Configure azure SQL managed instances for scale and performance
  • Configure SQL server in azure VMS for scale and performance
  • Calculate resource requirements
  • Evaluate database partitioning techniques, such as database shading
  • Evaluate requirements for the migration
  • Evaluate offline or online migration strategies
  • Evaluate requirements for the upgrade
  • Evaluate offline or online upgrade strategies
  • Implement an online migration strategy
  • Implement an offline migration strategy
  • Implement an online upgrade strategy
  • Implement an offline upgrade strategy
  • Configure azure ad authentication
  • Create users from azure ad identities
  • Configure security principals
  • Configure database and object-level permissions using graphical tools
  • Apply principle of least privilege for all securable
  • Implement transparent data encryption
  • Implement object-level encryption
  • Implement dynamic data masking
  • Implement azure key vault and disk encryption for azure VMS
  • Configure server and database-level firewall rules
  • Implement always encrypted
  • Apply a data classification strategy
  • Configure server and database audits
  • Implement data change tracking
  • Perform a vulnerability assessment
  • Prepare an operational performance baseline
  • Determine sources for performance metrics
  • Interpret performance metrics
  • Assess database performance by using azure SQL database intelligent performance
  • Configure and monitor activity and performance at the infrastructure, server, service, and
  • Database levels
  • Implement index maintenance tasks
  • Implement statistics maintenance tasks
  • Configure database auto-tuning
  • Automate database maintenance tasks
  • Azure SQL agent jobs, azure automation, SQL server agent jobs
  • Manage storage capacity
  • Configure query store to collect performance data
  • Identify sessions that cause blocking
  • Assess growth/fragmentation of databases and logs
  • Assess performance-related database configuration parameters
  • Including auto close, auto shrink, auto growth
  • Configure storage and infrastructure resources
  • Optimize IOPS, throughput, and latency
  • Optimize temp DB performance
  • Optimize data and log files for performance
  • Configure server and service account settings for performance
  • Configure resource governor for performance
  • Implement database-scoped configuration
  • Configure compute resources for scaling
  • Configure intelligent query processing (IQP)
  • Determine the appropriate type of execution plan
  • Live query statistics, actual execution plan, estimated execution plan
  • Identify problem areas in execution plans
  • Extract query plans from the query store
  • Determine the appropriate dynamic management views (DMVS) to gather query
  • Performance information
  • Identify performance issues using DMVS
  • Identify and implement index changes for queries
  • Recommend query construct modifications based on resource usage
  • Assess the use of hints for query performance
  • Identify data quality issues with duplication of data
  • Identify normal form of database tables
  • Assess index design for performance
  • Validate data types defined for columns
  • Recommend table and index storage including file groups
  • Evaluate table partitioning strategy
  • Evaluate the use of compression for tables and indexes
  • Manage schedules for regular maintenance jobs
  • Configure multi-server automation
  • Configure notifications for task success/failure/non-completion
  • Create event notifications based on metrics
  • Create event notifications for azure resources
  • Create alerts for server configuration changes
  • Create tasks that respond to event notifications
  • Perform automated deployment methods for resources
  • Automate backups
  • Automate performance tuning and patching
  • Implement policies by using automated evaluation modes
  • Recommend HADR strategy based on RPO/RTO requirements
  • Evaluate HADR for hybrid deployments
  • Evaluate azure-specific HADR solutions
  • Identify resources for HADR solutions
  • Test ha by using failover
  • Test DR by using failover or restore
  • Perform a database backup with options
  • Perform a database restore with options
  • Perform a database restore to a point in time
  • Configure long-term backup retention
  • Configure replication
  • Create an availability group
  • Integrate a database into an availability group
  • Configure quorum options for a windows server failover cluster
  • Configure an availability group listener
  • Evaluate database health using DMVS
  • Evaluate server health using DMVS
  • Perform database consistency checks by using DBCC
  • Assess proper database auto growth configuration
  • Report on database free space
  • Review database configuration options
  • Prepare databases for always on availability groups
  • Perform transaction log backup
  • Perform restore of user databases
  • Perform database backups with options
  • Manage certificates
  • Manage security principals
  • Configure permissions for users to access database objects
  • Configure permissions by using custom roles
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What is included with the DP-300 Administering Relational Databases on Microsoft Azure Course?
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Take the certification exam within 3 months of course / module completion

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