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    Instructor-led Training

    Course Description

    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.

    About this Course

    Duration

    4 Days

    Course Outline

    Skills at a glance

    • Plan and implement data platform resources (20–25%)

    • Implement a secure environment (15–20%)

    • Monitor, configure, and optimize database resources (20–25%)

    • Configure and manage automation of tasks (15–20%)

    • Plan and configure a high availability and disaster recovery (HA/DR) environment (20–25%)

    Plan and implement data platform resources (20–25%)

    Plan and deploy Azure SQL solutions

    • Deploy database offerings on selected platforms

    • Understand automated deployment

    • Apply patches and updates for hybrid and infrastructure as a service (IaaS) deployment

    • Deploy hybrid SQL Server solutions

    • Recommend an appropriate database offering based on specific requirements

    • Evaluate the security aspects of the possible database offering

    • Recommend a table partitioning solution

    • Recommend a database sharding solution

    Configure resources for scale and performance

    • Configure Azure SQL Database for scale and performance

    • Configure Azure SQL Managed Instance for scale and performance

    • Configure SQL Server on Azure Virtual Machines for scale and performance

    • Configure table partitioning

    • Configure data compression

    Plan and implement a migration strategy

    • Evaluate requirements for the migration

    • Evaluate offline or online migration strategies

    • Implement an online migration strategy

    • Implement an offline migration strategy

    • Perform post migration validations

    • Troubleshoot a migration

    • Set up SQL Data Sync for Azure

    • Implement a migration to Azure

    • Implement a migration between Azure SQL services

    Implement a secure environment (15–20%)

    Configure database authentication and authorization

    • Configure authentication by using Active Directory and Microsoft Entra ID

    • Create users from Microsoft Entra identities

    • Configure security principals

    • Configure database and object-level permissions using graphical tools

    • Apply the principle of least privilege for all securables

    • Troubleshoot authentication and authorization issues

    • Manage authentication and authorization by using T-SQL

    Implement security for data at rest and data in transit

    • Implement transparent data encryption (TDE)

    • Implement object-level encryption

    • Configure server- and database-level firewall rules

    • Implement Always Encrypted

    • Configure secure access

    • Configure Transport Layer Security (TLS)

    Implement compliance controls for sensitive data

    • Apply a data classification strategy

    • Configure server and database audits

    • Implement data change tracking

    • Implement dynamic data masking

    • Manage database resources by using Azure Purview

    • Implement database ledger in Azure SQL

    • Implement row-level security

    • Configure Microsoft Defender for SQL

    Monitor, configure, and optimize database resources (20–25%)

    Monitor resource activity and performance

    • Prepare an operational performance baseline

    • Determine sources for performance metrics

    • Interpret performance metrics

    • Configure and monitor activity and performance

    • Monitor by using SQL Insights

    • Monitor by using Extended Events

    Monitor and optimize query performance

    • Configure Query Store

    • Monitor by using Query Store

    • Identify sessions that cause blocking

    • Identify performance issues using dynamic management views (DMVs)

    • Identify and implement index changes for queries

    • Recommend query construct modifications based on resource usage

    • Assess the use of query hints for query performance

    • Review execution plans

    • Monitor by using Intelligent Insights

    Configure database solutions for optimal performance

    • Implement index maintenance tasks

    • Implement statistics maintenance tasks

    • Implement database integrity checks

    • Configure database automatic tuning

    • Configure server settings for performance

    • Configure Resource Governor for performance

    • Implement database-scoped configuration

    • Configure compute and storage resources for scaling

    • Configure intelligent query processing (IQP)

    Configure and manage automation of tasks (15–20%)

    Create and manage SQL Server Agent jobs

    • Manage schedules for regular maintenance jobs

    • Configure job alerts and notifications

    • Troubleshoot SQL Server Agent jobs

    Automate deployment of database resources

    • Automate deployment by using Azure Resource Manager templates (ARM templates) and Bicep

    • Automate deployment by using PowerShell

    • Automate deployment by using Azure CLI

    • Monitor and troubleshoot deployments

    Create and manage database tasks in Azure

    • Create and configure elastic jobs

    • Create and configure database tasks by using automation

    • Configure alerts and notifications on database tasks

    • Troubleshoot automated database tasks

    Plan and configure a high availability and disaster recovery (HA/DR) environment (20–25%)

    Recommend an HA/DR strategy for database solutions

    • Recommend HA/DR strategy based on Recovery Point Objective/Recovery Time Objective (RPO/RTO) requirements

    • Evaluate HA/DR for hybrid deployments

    • Evaluate Azure-specific HA/DR solutions

    • Recommend a testing procedure for an HA/DR solution

    Plan and perform backup and restore of a database

    • Recommend a database backup and restore strategy

    • Perform a database backup by using database tools

    • Perform a database restore by using database tools

    • Perform a database restore to a point in time

    • Configure long-term backup retention

    • Backup and restore a database by using T-SQL

    • Backup and restore to and from cloud storage

    Configure HA/DR for database solutions

    • Configure active geo-replication

    • Configure an Always On availability group on Azure virtual machines

    • Configure failover groups

    • Configure quorum options for a Windows Server Failover Cluster

    • Configure Always On Failover Cluster Instances on Azure virtual machines

    • Configure log shipping

    • Monitor an HA/DR solution

    • Troubleshoot an HA/DR solution

     

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