Deploy and administer Linux virtual machines on Azure (AZ-1007) - Training Courses | Afi U.

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Deploy and administer Linux virtual machines on Azure (AZ-1007)

Practice the applied skill of Deploying and Administering Linux Virtual Machines on Microsoft Azure.

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  • Duration: 1 day
  • Regular price: $795
  • Preferential price: $675tip icon

Course outline

Duration : 1 Day

© AFI Expertise inc.

In this training, you will practice the applied skill of Deploying and Administering Linux Virtual Machines on Microsoft Azure.

Audience

  • System Administrators
  • Cloud Engineers
  • Solution Architects
  • Developers

Prerequisites

  • Knowledge of identity management and role-based access control.
  • Experience working with the administration of Linux kernel-based operating systems.

Objectives

  • Learn to create and configure Linux virtual machines in the Azure environment.
  • Manage configurations, updates, and maintenance of Linux virtual machines.
  • Use Azure tools to monitor performance and optimize virtual machine resources.
  • Implement security measures to protect Linux virtual machines from potential threats.
  • Use scripts and automation tools to simplify the management of virtual machines.

Contents

  • Configure virtual machines
  • Add and size disks in Azure virtual machines
  • Protect your virtual machines using Azure Backup
  • Manage virtual machines with Azure CLI
  • Copy and move blobs from one storage account or container to another using the AzCopy command
  • Guided project: Deploy and administer Linux virtual machines on Azure

Surround yourself with the best

Philippe Paradis
Philippe Paradis
Certified Trainer and IT Consultant
Philippe Paradis is a results-oriented IT specialist with more than 20 years of experience. A Certified Microsoft Trainer (MCT) since 1998, he has built up his expertise by pursuing certifications as a Microsoft Certified Solutions Expert (MCSE), a Microsoft Certified Solutions Associate (MCSA) and a Microsoft Certified Technology Specialist in Virtualization. He has also developed expertise in cloud-based applications, including Microsoft Azure and Amazon Web Services (AWS).