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Microsoft DP-300T00 - Administering Microsoft Azure SQL Solutions

  • Length 4 days
  • Version A
Course overview
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Why study 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.

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What you’ll learn

After completing this course, students will be able to:

  • 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


Microsoft Azure at DDLS

DDLS is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia’s First and largest Microsoft Gold Learning Solutions Partner. All DDLS Microsoft courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.


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Who is the course for?

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

We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us via email on ph.training@ddls.com.ph

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Course subjects

Module 1: Introduction to Azure Database Administration
This module explores the role of a database administrator in the world of Azure SQL. 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, SQL Managed Instance, and Azure SQL Database).

Lessons

  • Prepare to maintain SQL databases on Azure

Module 2: Plan and Implement Data Platform Resources
This module introduces methods for deploying data platform resources in Azure SQL. 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 SQL Managed Instance, and SQL Database. 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 understand hybrid approaches.

Lessons

  • Deploy IaaS solutions with Azure SQL

  • Deploy PaaS solutions with Azure SQL

  • Evaluate strategies for migrating to Azure SQL

  • Migrate SQL workloads to Azure SQL Databases

  • Migrate SQL workloads to Azure Managed Instances

Lab : Provision SQL Server on an Azure Virtual Machine

  • Explore the Azure Portal

  • Deploy a SQL Server on an Azure Virtual Machine

  • Connect to SQL Server on an Azure Virtual Machine

Lab : Provision an Azure SQL Database

  • Create a Virtual Network

  • Deploy an Azure SQL Database

  • Connect to an Azure SQL Database using Azure Data Studio

  • Query an Azure SQL Database using SQL Notebook

Module 3: Implement a Secure Environment for a Database Service
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. Students will lean why security is crucial when working with databases, and explain authentication options for Azure SQL Database.

Lessons

  • Configure database authentication and authorisation

  • Protect data in-transit and at rest

  • Implement compliance controls for sensitive data

Lab : Configure a server-based firewall rule using the Azure portal

  • Configure Azure SQL Database firewall rules

  • Validate access

Lab : Authorise Access to Azure SQL Database with Azure Active Directory

  • Create users

  • Manage access to database objects

  • Validate access

Lab : Enable Microsoft Defender for SQL and Data Classification

  • Enable Microsoft Defender for Azure SQL Database

  • Configure Data Classification for Azure SQL Database

Module 4: Monitor and Optimise Operational Resources
This module will teach you about resource optimisation for your databases created using either IaaS or PaaS services. The module also covers monitoring server and hardware resources. It will familiarise 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 Insights.

Lessons

  • Describe performance monitoring

  • Configure SQL Server resources for optimal performance

  • Configure databases for optimal performance

Lab : Isolate performance problems through monitoring

  • Review CPU utilisation in Azure portal

  • Identify high CPU queries

Lab : Detect and correct fragmentation issues

  • Investigate index fragmentation

  • Rebuild fragmented indexes

  • Validate performance improvements

Module 5: Optimise 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 optimised, 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 analyse individual query performance and determine where improvements can be made.

Lessons

  • Explore query performance optimisation

  • Explore performance-based database design

  • Evaluate performance improvements

Lab : Identify database design issues

  • Examine the query and identify the problem

  • Identify ways to fix the warning message

  • Improve the code

Lab : Identify and resolve blocking issues

  • Run blocked queries report

  • Enable Read Commit Snapshot isolation level

  • Evaluate performance improvements

Lab : Isolate problem areas in poorly performing queries in a SQL Database

  • Generate actual execution plan

  • Resolve a suboptimal query plan

  • Use Query Store to detect and handle regression

  • Examine Top Resource Consuming Queries report

  • Force a better execution plan

  • Use query hints to impact performance

Module 6: Automate database 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 how to use elastic jobs and Azure Automation runbooks.

Lessons

  • Automate deployment of database resources

  • Create and manage SQL Agent jobs

  • Manage Azure PaaS tasks using automation

Lab : Deploy an automation runbook to automatically rebuild indexes

  • Create an Automation Account

  • Connect to an existing Azure SQL Database

  • Configure Automation Account assets

  • Create a PowerShell runbook

  • Create a schedule for a runbook

Lab : Deploy Azure SQL Database using an Azure Resource Manager template

  • Explore Azure Resource Manager template

Lab : Create a CPU status alert for a SQL Server

  • Create an alert when a CPU exceeds an average of 80 percent

Module 7: Plan and Implement a High Availability and Disaster Recovery Solution
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.

Lessons

  • 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 : Backup to URL and Restore from URL

  • Create a credential

  • Backup to URL

  • Validate backup through Azure CLI and Storage Explorer

  • Restore from URL

Lab : Configure geo-replication for Azure SQL Database

  • Enable geo-replication

  • Failover to a secondary region


Prerequisites

Successful Azure Database Administrators start this role with professional experience in database management and technical knowledge of cloud technologies.

Specifically:

  • Working with, maintaining, and developing with SQL Server

  • Experience with Azure, such as deploying and managing resources

At a minimum, you should have the below training or equivalent knowledge before attending the course:


Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.