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Administering Relational Databases on Microsoft Azure DP-300 guide torrent materials

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Exam DP-300: Administering Relational Databases on Microsoft Azure

Candidates for this exam are database administrators and data management specialists that manage on-premises and cloud relational databases built with Microsoft SQL Server and Microsoft Azure Data Services.

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built on Azure Data Services and SQL Server. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

This role is responsible for management, availability, security and performance monitoring and optimization of modern relational database solutions. This role works with the Azure Data Engineer role to manage operational aspects of data platform solutions.

Candidates for this role should understand all concepts covered in Exam DP-900: Microsoft Azure Data Fundamentals.

Part of the requirements for: Microsoft Certified: Azure Database Administrator Associate

Download exam skills outline

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Performing Tasks Automation

Evaluation and implementation of notification and alert strategy
- Creating event notification on the basis of metrics as well as those for Azure resources
- Designing tasks for response to the event notifications
- Making alerts for configuration changes
Managing and automating tasks in Azure
- Performing automated methods of deployment for resources
- Automatic backups
- Implementing policies using modes that are automated
- Automating performance patching and tuning
Creating scheduled tasks
- Management of schedules for frequent maintenance roles
- Configuration of multi-server automation
- Configuring task notifications

Reference: https://learn.microsoft.com/en-us/credentials/certifications/azure-database-administrator-associate/?practice-assessment-type=certification

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Skills Measured in DP-300 Exam

Planning and Implementation of Data Platform Resources

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
Strategy evaluation for shifting to Azure
- Requirements evaluation for migration
- Planning online and offline migration strategies
- Upgrade requirements
- Online and offline upgrade strategies
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
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
Implementing an upgrading a migration strategy for shifting to Azure
- Migration strategy for online and offline
- Upgrade strategy for online and offline

Microsoft DP-300 Exam Syllabus Topics:

Section	Weight	Objectives
Monitor and optimize operational resources	15–20%	- 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. Schedule and perform updates and patches 2. Automate tasks using jobs, scripts, or Logic Apps 3. Manage database lifecycle operations - Monitor database performance and health 1. Identify and diagnose performance issues 2. Use Azure Monitor, SQL Insights, and metrics 3. Set up alerts and notifications
Optimize query performance	15–20%	- Manage workload performance 1. Troubleshoot slow-running queries 2. Implement partitioning and compression 3. Control resource usage and concurrency - Analyze query execution plans 1. Interpret execution plans and statistics 2. Identify bottlenecks and inefficiencies 3. Evaluate index usage and design - Improve query performance 1. Optimize T-SQL code and constructs 2. Create and modify indexes 3. Use query store and performance tuning tools
Plan and configure high availability and disaster recovery	20–25%	- Configure high availability solutions 1. Configure Always On availability groups 2. Test and monitor HA/DR operations 3. Implement failover groups and auto-failover - Design HA/DR strategy 1. Define RPO and RTO requirements 2. Evaluate hybrid and cross-region options 3. Choose between built-in and custom solutions - Implement backup and restore 1. Perform point-in-time and long-term retention restores 2. Manage backup storage and costs 3. Configure automated backups and retention
Plan and implement data platform resources	15–20%	- Implement migration strategies 1. Migrate between Azure services or from on-premises 2. Evaluate migration requirements and strategies 3. Perform offline and online migrations - Plan deployment of database offerings 1. Identify use cases for hybrid and multi-cloud solutions 2. Plan for scalability and performance requirements 3. Evaluate deployment options for Azure SQL services - Deploy database resources 1. Configure resources for scale and performance 2. Automate deployment using templates, PowerShell, or CLI 3. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs
Implement a secure environment	20–25%	- Configure authentication and authorization 1. Apply least privilege principle 2. Implement Microsoft Entra ID authentication 3. Manage database users, roles, and permissions - Implement compliance and security controls 1. Implement data masking and classification 2. Assess and remediate vulnerabilities 3. Configure auditing and logging - Secure data at rest and in transit 1. Configure encryption for connections and data transfer 2. Manage keys and certificates 3. Implement Transparent Data Encryption