DP-300T00: Administering Relational Database on Microsoft Azure

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About this Course

This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.

Audience Profile

The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.

Job role: Database Administrator

Preparation for exam: DP-300

Features: none

At Course Completion

  • Plan, deploy and configure Azure SQL offerings
  • Monitor database performance and tune a database and queries for optimum performance
  • Plan and configure a High Availability Solution
  • Outline

    Module 1: The Role of the Azure Database Administrator
    This module explores the role of a database administrator in the world of Azure. It also provides some foundational information relevant to the overall content. This includes a review of the various SQL Server-based options (SQL Server in a VM, Managed Instances, and Azure SQL Database.) Students will learn why compatibility level is a crucial concept when working with SQL databases in Azure. Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular PostgreSQL and MySQL

    Azure Data Platform Roles
    Azure Database Platforms and Options
    SQL Server Compatibility Levels
    Azure Preview Features
    Lab : Using the Azure Portal and SQL Server Management Studio
    Provision a SQL Server on an Azure Virtual Machine
    Connect to SQL Server and Restore a Backup
    After completing this module, students will:

    Understand the role of Azure Database Administrator as it fits in with other data platform roles
    Be able to describe the key differences between the SQL Server-based database op
    Be able to describe the difference between versions and compatibility levels
    Know how to enable and disable preview features

    Module 2: Plan and Implement Data Platform Resources
    This module introduces methods for deploying data platform resources in Azure. You will learn about options for both upgrading and migrating existing SQL databases to Azure. You will learn how to set up Azure resources to host SQL Server on a Virtual Machine, a Managed Instance, Azure SQL Database and either PostgreSQL or MySQL. You will learn how to determine which options are best based on specific requirements including the High Availability and Disaster Recovery (HADR) needs. They will learn to calculate resource requirements and create templates for their deployments.

    Deploying SQL Server using IaaS
    Deploying SQL Server using PaaS
    Deploying Open Source Database Solutions on Azure
    Lab : Deploying Azure SQL Database
    Deploy a VM using an ARM template
    Configure resources needed prior to creating a database
    Deploy an Azure SQL Database
    Register the Azure SQL Database instance in Azure Data Studio and validate connectivity
    Deploy PostgreSQL or MySQL using a client tool to validate connectivity
    After completing this module, students will:

    Deploy resoureces using manual methods
    Reconmmend an appropriate databvase offering based on requirements
    Configure database resources
    Evaluate and implement a strategy for moving a database to Azure

    Module 3: Implement a Secure Environment
    This module explores the practices of securing your SQL Server Database as well as an Azure SQL database. This includes a review of the various SQL Server-based options as well as the various Azure options for securing Azure SQL Database as well as the databases with reside within Azure SQL Database. . Students will lean why security is crucial when working with databases. . Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular, Azure Database for MariaDB/MySQL/PostgreSQL

    Configure Database Authentication
    Configure Database Authorization
    Implement Security for Data at Rest
    Implement Security for Data in Transit
    Implement Compliance Controls for Sensitive Data
    Lab : Implement a Secure Environment
    Configure a server-based firewall rule using the Azure Portal
    Authorize Access to Azure SQL Database with Azure Active Directory
    Enable Advanced Data Security and Data Classification
    Manage access to database objects
    After completing this module, students will:

    Understand the differences between Windows, SQL Server and Azure Active Directory Authentication
    Describe and configure both data-at-rest encryption solutions as well as data-in-transit encryption
    Implement a data sensitivity solution

    Module 4: Monitor and Optimize Operational Resources
    This module will teach you about resource optimization for your databases created using either IaaS or PaaS services. The module also covers monitoring server and hardware resources. It will familiarize you with the various tools available for monitoring performance and establishing a baseline. You will learn how to interpret performance metrics for the most critical resources. You will also learn how to troubleshoot database performance using Azure SQL Database Intelligent Insights.

    Baselines and Performance Monitoring
    Major Causes of Performance Issues
    Configuring Resources for Optimal Performance
    User Database Configuration
    Performance-related Maintenance Tasks
    Lab : Monitor and Optimize Resources
    Isolate CPU Problems
    Use Query Store observe blocking problems
    Detect and correct fragmentation issues
    After completing this module, students will:

    Monitor activity and compare to a baseline
    Define maintenance tasks related to performance
    Identify major causes of performance problems
    Configure resources for optimal performance
    Configure a user database for optimal performance

    Module 5: Optimize Query Performance
    Query execution plans are potentially the most important aspect of database performance. Improving bad plans is certainly an area where a small amount of effort can bring huge improvements. While hardware issues can limit query performance, improving hardware usually yields performance improvements in the 10-20% range, at most. More commonly database administrators encounter queries that are not optimized, have stale or missing statistics, have missing indexes, or poor database design choices that lead to the database engine doing more work than is necessary to return results for a given query. Improving the plans can sometimes yield performance improvements in the 100-200% range or even more, meaning that after improving a plan with better indexes or statistics, a query could run twice or three times as fast! This module provides details on how to analyze individual query performance and determine where improvements can be made.

    Understanding SQL Server Query Plans
    Explore Performance-based Database Design
    Evaluate Performance Improvements
    Lab : Query Performance Troubleshooting
    Identify issues with database design AdventureWorks2017
    Isolate problem areas in poorly performing queries in AdventureWorks2017
    Use Query Store to detect and handle regression in AdventureWorks2017
    Use query hints to impact performance in AdventureWorks2017
    After completing this module, students will:

    Analyze query plans and identify problem areas
    Evaluate potential query improvements
    Review table and index design
    Determine whether query or design changes have had a positive effect

    Module 6: Automation of Tasks
    A common goal for database administrators in many environments is to automate as many of their repetitive tasks. This can be as simple as using scripting to automate a backup process, and as complex as building a fully automated alerting system. This module provides details of automating tasks to simplify the DBA’s job. Methods include scheduling tasks for regular maintenance jobs, as well as multi-instance administration and configuration of notifications for task success or failure or non-completion.

    Setting up Automatic Deployment
    Defining Scheduled Tasks
    Configuring Extended Events
    Managing Azure PaaS resources Using Automated Methods
    Lab : Automating Tasks
    Deploy an Azure template from a Quickstart template on GitHub
    Configure notifications based on performance metrics
    Deploy an Azure Automation Runbook (or elastic job) to rebuild indexes on an Azure SQL Database
    After completing this module, students will:

    Deploy resources using automated deployment scripts
    Create scheduled tasks
    Create notifications and alerts
    Configure automation for PaaS services

    Module 7: Plan and Implement a High Availability and Disaster Recovery Environment
    Data must be available when the business needs it. That means the solutions hosting the data must be designed with availability and recoverability in mind. Suppose you work for a company that sells widgets both in stores and online. Your main application uses a highly transactional database for orders. What would happen if the server or platform hosting the transactional database had a problem that made it unavailable or inaccessible for some reason? What impact would it have on the business? If the right solution is put in place, the database would come online in a reasonable timeframe with minimal effort, thus allowing business to continue with little-to-no impact. This module and its associated lab cover configuring, testing, and managing a solution for high availability and disaster recovery (HADR) in Azure, for both Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) deployments. This module will not only cover basic requirements, but also the various options available to achieve HADR.

    High Availability and Disaster Recovery Strategies
    IaaS Platform and Database Tools for HADR
    PaaS Platform and Database Tools for HADR
    Database Backup and Recovery
    Lab : Plan and Implement a High Availability and Disaster Recovery Environment
    Create an Always On Availability Group
    Enable Geo-Replication for Azure SQL Database
    Backup to URL and Restore from URL
    After completing this module, students will understand:

    The difference between recovery time and recovery point objectives
    The available HADR options for both IaaS and PaaS
    The considerations for planning and configuring HADR solutions including how backup and restore fi
    The factors that comprise a HADR strategy
    How to configure a high availability solution via a hands-on lab


    In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

    Azure Fundamentals
    Azure Data Fundamentals