DP-300 Azure Database Administrator Associate

LU1 Introduction to Azure database administration

Topic 1 Prepare to maintain SQL databases on Azure

• Describe Microsoft Intelligent Data Platform roles
• Understand SQL Server in an Azure virtual machine
• Design Azure SQL Database for cloud-native applications
• Explore Azure SQL Database Managed Instance

LU2 Plan and implement data platform resources

Topic 2 Deploy IaaS solutions with Azure SQL

• Explain IaaS options to deploy SQL Server in Azure
• Understand hybrid scenarios
• Explore performance and security
• Explain high availability and disaster recovery options
• Exercise: Provision a SQL Server on an Azure Virtual Machine

Topic 3 Deploy PaaS solutions with Azure SQL

• Explain PaaS options for deploying SQL Server in Azure
• Explore single SQL database
• Deploy SQL database elastic pool
• Understand SQL database hyperscale
• Examine SQL managed instance
• Describe SQL Edge
• Exercise: Deploy an Azure SQL Database

Topic 4 Evaluate strategies for migrating to Azure SQL

• Understand compatibility level
• Understand Azure preview features
• Describe Azure database migration options

Topic 5 Migrate SQL Server workloads to Azure SQL Database

• Choose the right Azure SQL Database feature
• Use Azure SQL migration extension to migrate to Azure SQL Database
• Explore Data Migration Assistant to migrate to Azure SQL Database
• Migrate to Azure SQL Database using BACPAC
• Use an online method to migrate to Azure SQL Database
• Move data to Azure SQL Database
• Exercise: Migrate a SQL Server database to Azure SQL Database

Topic 6 Migrate SQL workloads to Azure Managed Instances

• Evaluate migration scenarios to SQL Database Managed Instance
• Migrate to SQL Database Managed Instance
• Load and Move data to SQL Database Managed Instance

LU3 Implement a secure environment for a database service

Topic 7 Configure database authentication and authorization

• Describe Active Directory and Microsoft Entra ID
• Describe authentication and identities
• Describe Security Principals
• Describe database and object permissions
• Identify authentication and authorization failures
• Exercise: Authorize Access to Azure SQL Database with Microsoft Entra ID

Topic 8 Protect data in-transit and at rest

• Explore Transparent Data Encryption
• Configure server and database firewall rules
• Explain object encryption and secure enclaves
• Enable encrypted connections
• Describe SQL injection
• Understand Azure Key Vault
• Exercise: Configure a server-based firewall rule using the Azure portal

Topic 9 Implement compliance controls for sensitive data

• Explore data classification
• Explore server and database audit
• Implement Dynamic Data Masking
• Implement Row Level security
• Understand Microsoft Defender for SQL
• Explore Azure SQL Database Ledger
• Implement Azure Purview
• Exercise: Enable Microsoft Defender for SQL and Data Classification

LU4 Monitor and optimize operational resources in Azure SQL

Topic 10 Describe performance monitoring

• Describe performance monitoring tools
• Describe critical performance metrics
• Establish baseline metrics
• Explore extended events
• Describe Azure SQL Insights
• Explore Query Performance Insight
• Exercise: Isolate problems with monitoring

Topic 11 Configure SQL Server resources for optimal performance

• Explain how to optimize Azure storage for SQL Server virtual machines
• Describe virtual machine resizing
• Optimize database storage
• Control SQL Server resources

Topic 12 Configure databases for optimal performance

• Explore database maintenance checks
• Describe database scoped configuration options
• Describe automatic tuning
• Describe intelligent query processing
• Exercise: Detect and correct fragmentation issues

LU5 Optimize query performance in Azure SQL

Topic 13 Explore query performance optimization

• Understand query plans
• Explain estimated and actual query plans
• Describe dynamic management views and functions
• Explore Query Store
• Identify problematic query plans
• Describe blocking and locking
• Exercise: Identify and resolve blocking issues

Topic 14 Explore performance-based design

• Describe normalization
• Choose appropriate data types
• Design indexes
• Exercise: Identify database design issues

Topic 15 Evaluate performance improvements

• Describe wait statistics
• Tune and maintain indexes
• Understand query hints
• Exercise: Isolate problem areas in poorly performing queries

LU6 Automate database tasks for Azure SQL

Topic 16 Automate deployment of database resources

• Describe deployment models in Azure
• Automate deployment by using Azure Resource Manager templates and Bicep
• Automate deployment by using PowerShell
• Automate deployment by using Azure CLI
• Exercise: Deploy an Azure SQL Database using an Azure Resource Manager template

Topic 17 Create and manage SQL Agent jobs

• Create a SQL Server maintenance plan
• Describe task status notifications
• Knowledge check
• Exercise: Create a CPU status alert for a SQL Server
• Topic 18 Manage Azure PaaS tasks using automation
• Explore Elastic jobs
• Understand Azure Automation
• Build an automation runbook
• Automate database workflows by using Logic Apps
• Monitor automated tasks
• Exercise: Deploy an automation runbook to automatically rebuild indexes

LU7 Plan and implement a high availability and disaster recovery environment

Topic 19 Describe high availability and disaster recovery strategies

• Describe recovery time objective and recovery point objective
• Explore high availability and disaster recovery options
• Describe Azure high availability and disaster recovery features for Azure Virtual Machines
• Describe high availability and disaster recovery options for PaaS deployments
• Explore an IaaS high availability and disaster recovery solution
• Describe hybrid solutions

Topic 20 Explore IaaS and PaaS solutions for high availability and disaster recovery

• Describe failover clusters in Windows Server
• Configure Always-on availability groups
• Describe temporal tables in Azure SQL Database
• Describe active geo-replication for Azure SQL Database
• Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance
• Exercise: Configure geo replication for Azure SQL Database

Topic 21 Back up and restore databases

• Back up and restore SQL Server running on Azure virtual machines
• Back up a SQL Server virtual machine
• Back up and restore a database using Azure SQL Database
• Exercise: Backup to URL

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Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• Database Administrator
• Azure Administrator
• SQL Server Developer
• Data Analyst
• Business Intelligence Developer
• Cloud Solutions Architect
• IT Manager
• Systems Analyst
• Infrastructure Engineer
• DevOps Engineer
• Data Engineer
• Application Developer
• Software Engineer
• Technical Consultant
• Data Architect

Peter Cheong :  I am a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that I Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.

Truman Ng: I am a ACLP certified trainer. With In-depth and diversified experiences from Project Management DevOps, Blockchain, Project Management, Education, IT and even Numerology, I am passionate to meet good people and generate new ideas, in pursuit of realization of better world!

Agus Salim : I am a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure.

Sanjiv Venkatram: Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers

Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.