Get information about the Certification path of Microsoft DP-300 Exam
Recommended skills and experience requests for the DP-300 qualification test. Minimum 2 years of practical experience in database administration and monitoring. At least one year of hands-on experience with Microsoft Azure
There is no Prerequisites for this exam
Microsoft DP-300 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Plan and Implement Data Platform Resources (15-20%) | |
| Deploy resources by using manual methods | -deploy database offerings on selected platforms -configure customized deployment templates -apply patches and updates for hybrid and IaaS deployment |
| Recommend an appropriate database offering based on specific requirements | -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 resources for scale and performance | -configure Azure SQL Database 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 sharding -set up SQL Data Sync |
| Evaluate a strategy for moving to Azure | -evaluate requirements for the migration -evaluate offline or online migration strategies -evaluate requirements for the upgrade -evaluate offline or online upgrade strategies |
| Implement a migration or upgrade strategy for moving to Azure | -implement an online migration strategy -implement an offline migration strategy -implement an online upgrade strategy -implement an offline upgrade strategy |
Implement a Secure Environment (15-20%) | |
| Configure database authentication by using platform and database tools | -configure Azure AD authentication -create users from Azure AD identities -configure security principals |
| Configure database authorization by using platform and database tools | -configure database and object-level permissions using graphical tools -apply principle of least privilege for all securables |
| Implement security for data at rest | -implement Transparent Data Encryption (TDE) - implement object-level encryption -implement Dynamic Data Masking -implement Azure Key Vault and disk encryption for Azure VMs |
| Implement security for data in transit | -configure server and database-level firewall rules -implement Always Encrypted |
| Implement compliance controls for sensitive data | -apply a data classification strategy -configure server and database audits -implement data change tracking -perform a vulnerability assessment |
Monitor and Optimize Operational Resources (15-20%) | |
| Monitor activity and performance | -prepare an operational performance baseline -determine sources for performance metrics -interpret performance metrics - configure and monitor activity and performance at the infrastructure, server, service, and database levels |
| Implement performance-related maintenance tasks | -implement index maintenance tasks -implement statistics maintenance tasks -configure database auto-tuning -manage storage capacity |
| Identify performance-related issues | - 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 |
| Configure resources for optimal performance | -configure storage and infrastructure resources -configure server and service account settings for performance -configure Resource Governor for performance |
| Configure a user database for optimal performance | -implement database-scoped configuration -configure compute resources for scaling -configure Intelligent Query Processing (IQP) |
Optimize Query Performance (5-10%) | |
| Review query plans | -determine the appropriate type of execution plan -identify problem areas in execution plans -extract query plans from the Query Store |
| Evaluate performance improvements | - 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 |
| Review database table and index design | -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 filegroups -evaluate table partitioning strategy - evaluate the use of compression for tables and indexes |
Perform Automation of Tasks (10-15%) | |
| Create scheduled tasks | -manage schedules for regular maintenance jobs -configure multi-server automation -configure notifications for task success/failure/non-completion |
| Evaluate and implement an alert and notification strategy | -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 |
| Manage and automate tasks in Azure | -perform automated deployment methods for resources -implement policies by using automated evaluation modes |
Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%) | |
| Recommend an HADR strategy for a data platform solution | -recommend HADR strategy based on RPO/RTO requirements -evaluate HADR for hybrid deployments -evaluate Azure-specific HADR solutions -identify resources for HADR solutions |
| Test an HADR strategy by using platform, OS, and database tools | -test HA by using failover -test DR by using failover or restore |
| Perform backup and restore a database by using database tools | - 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 HA/DR by using OS, platform, and database tools | -configure replication -create anAlways On Availability Group -configure auto-failover groups -integrate a database into an Availability Group - configure quorum options for a Windows Server Failover Cluster -configure an Availability Group listener |
Perform Administration by Using T-SQL (10-15%) | |
| Examine system health | -evaluate database health using DMVs -evaluate server health using DMVs -perform database consistency checks by using DBCC |
| Monitor database configuration by using T-SQL | -assess proper database autogrowth configuration -report on database free space -review database configuration options |
| Perform backup and restore a database by using T-SQL | -prepare databases for Always On Availability Groups -perform transaction log backup -perform restore of user databases -perform database backups with options |
| Manage authentication by using T-SQL | -manage certificates -manage security principals |
| Manage authorization by using T-SQL | -configure permissions for users to access database objects -configure permissions by using custom roles |
Execute Tasks Automation Performance: 10-15%
- Create Scheduled Tasks: The candidates should demonstrate their skills in configuring multi-server automation and notifications for task non-completion/success/failure.
- Implement & Evaluate Notification and Alert Strategies: This section requires one’s expertise in creating event notifications according to metrics, creating alerts for changes in server configurations, and creating tasks that react to specific event notifications.
- Automate & Manage Tasks within Azure: This part covers the individuals’ skills in automating backups and performance patching and tuning, as well as implementing policies with automated evaluation modes.
Monitoring and Optimizing Operational Resources
- Monitoring performance and activity
- Preparation of a working performance baseline
- Determining performance metrics' sources
- Interpretation of performance metrics
- Assessing database performance using Intelligent Insights for Managed Instances and Azure SQL Database
- Monitoring and configuring performance and activity at the server, infrastructure, service and database levels
- Resource configuration for optimal performance
- Infrastructure and storage resources
- Server and service account settings
- Configuration of Resource Governance for performance
- Identifying performance-related issues
- Configuration of Query Store
- Identifying sessions that can lead to blocking
- Assessing fragmentation of logs and databases
- Assessing configuration parameters related to database performance
- Configuring a user database
- Implementation of database-scoped configuration
- Configuring compute resources
- Intelligent Query Processing (IQP) configuration
- Implementation of maintenance tasks that are performance-related
- Implementing index maintenance and statistics maintenance tasks
- Database auto-tuning configuration
- Storage capacity management
- Performing automation for database maintenance tasks
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