Microsoft Azure Solutions Architect – Technologies -AZ-300

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Microsoft Azure Solutions Architect – TechnologiesAZ-300 Overview

The AZ-300: Microsoft Azure Architect Technologies course provides IT professionals with comprehensive skills to deploy, configure, and manage Azure infrastructure and solutions. Participants will gain expertise in virtual machines, storage, networking, identity management, and security, while learning to implement serverless computing, hybrid cloud strategies, and scalable application services. The course also covers advanced topics such as cloud architecture patterns, Kubernetes and Service Fabric deployment, authentication, secure data management, and cloud-based application development. Through hands-on labs and practical exercises, learners will acquire the knowledge required to design and implement robust, secure, and highly available Azure solutions.

Modules:

AZ-300T01:  Deploying and Configuring Infrastructure

Modules:

Lesson 1: Managing Azure Subscriptions and Resources

In this module you will explore Azure monitoring capabilities using Azure alerts, Azure activity logs, and Log Analytics. You will learn to query, analyze, and interpret the data viewed in Log Analytics.

Lesson 2: Implementing and Managing Storage

In this module you will learn about Azure storage accounts, data replication, how to use Azure Storage Explorer, and monitor storage.

Lesson 3: Deploying and Managing Virtual Machines (VMs)

In this module you will learn how to do the following: Create Virtual Machines (VM)s within the Azure Portal, Create Virtual Machines (VM)s using Azure PowerShell, Create Virtual Machines (VM)s using ARM templates, Deploy Linux Virtual Machines (VM)s, Monitor Virtual Machines (VM)s.

Additionally, you will learn how to protect data using backups at regular intervals, whether by snapshot, Azure Backup, or Azure Site Recovery.

Lesson 4: Configuring and Managing Virtual Networks

In this module you will create and implement virtual networks using the Azure Portal as well as Azure PowerShell and CLI. You will receive and overview on how to assign IP addresses to Azure resources to communicate with other Azure resources, your on-premises network, and the Internet.

Network routing using routing tables and algorithms Inter-site connectivity using VNet-to-VNet connections and VPNs Virtual network peering for regional and global considerations Gateway transit

Lesson 5: Managing Identities

This module covers Azure Active Directory (Azure AD) for IT Admins and Developers with a focus on the Azure AD multi-tenant cloud-based directory and identity management service.

  • Role-Based Access Control (RBAC)
  • built-in roles
  • Self-Service Password Reset (SSPR)
  • authentication methods for password reset

Modules:

Lesson 1: Evaluating and Performing Server Migration to Azure

This module covers migrating workloads to a new environment, whether it be another datacenter, or to a public cloud, and setting clear goals for the migration. Goals include both technology-focused and business-focused goals for migrations, and the benefits to an organization’s business. Activities include components of the Azure migration process: creating a project, creating a collector, assessing readiness, and estimating costs.

Lesson 2: Implementing and Managing Application Services

  • Deploying Web Apps
  • Managing Web Apps
  • App Service Security
  • Serverless Computing Concepts
  • Managing Event Grid
  • Managing Service Bus
  • Managing Logic App

Lesson 3: Implementing Advanced Virtual Networking

  • Azure Load Balancer
  • Azure Application Gateway
  • Site-to-Site VPN Connections As well as an overview of ExpressRoute which allows companies to

extend on-premises networks into the Microsoft cloud over a dedicated private connection facilitated by a connectivity provider.

Lesson 4: Securing Identities

  • Azure AD Identity Protection
  • Azure Domains and Tenants
  • Azure Users and Groups
  • Azure Roles As well as an overview of Azure AD integration options that focuses on Azure AD Connect to integrate on-premises directories with Azure Active Directory.

Modules:

Lesson 1: Selecting Compute and Storage Solutions

  • Azure Architecture Center
  • Cloud design patterns
  • Competing consumers pattern
  • Cache-aside pattern As well as sharding patterns to divide a data store into horizontal partitions, or shards. Each shard has the same schema but holds its own distinct subset of the data.
  • Design and Connectivity Patterns

Lesson 2: Hybrid Networking

  • Combining site-to-site and point-to-site connectivity
  • Virtual network–to–virtual network connectivity as well as connecting across cloud providers for failover, backup, or even migration between providers such as AWS.

Lesson 3: Measuring Throughput and Structure of Data Access

  • DTUs – Azure SQL Database
  • RUs – Azure Cosmos DB
  • Structured and unstructured data
  • Using structured data stores
  • Address Durability of Data and Caching

Modules:

Lesson 1: Creating Web Applications using PaaS

This module provides and overview of Azure App Service Web Apps for hosting web applications, REST APIs, and a mobile back end. Topics include the following:

  • Using shell commands to create an App Service Web App
  • Creating Background Tasks
  • Using Swagger to document an API As well as an explanation of how Logic Apps help to build solutions that integrate apps, data, systems, and services across enterprises or organizations by automating tasks and business processes as workflows.

Lesson 2: Creating Apps and Services Running on Service Fabric

This module provides an overview of Azure Service Fabric as a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices and containers. This module also addresses the challenges in developing and managing cloud native applications. Additional topics include:

  • Creating a reliable service
  • Creating a Reliable Actors app
  • Working with Reliable collections

Lesson 3: Using Azure Kubernetes Service

This module focuses on the AzureKubernetes Service (AKS) for deploying and managing a Kubernetes cluster in Azure. Topics include how to reduce operational overhead of managing Kubernetes by offloading much of that responsibility to Azure, such as health monitoring and maintenance. Additional topics include:

  • Understand the Azure Container Registry
  • Use Azure Container instances

Modules:

Lesson 1: Implementing Authentication Topics for this module include:

  • Understand how to Implement authentication using certificates, Azure AD, Azure AD Connect, and tokens.
  • Implementing multi-factor authentication
    Claims-based authorization.
  • Implement Role-Based Access Control (RBAC) authorization.

Lesson 2: Implementing Secure Data

  • Implementing Azure confidential computing.
  • Implement secure data for end-to-end encryption.
  • Implement secure data for implementing SSL and TLS communications.
  • Use Azure Key Vault to manage cryptographic keys.

Modules:

Lesson 1: Developing Long-Running Tasks and Distributed Transactions

  • Implementing large-scale, parallel, and high-performance apps using batches
  • HPC using Microsoft Azure Virtual Machines
  • Implementing resilient apps by using queues As well as, implementing code to address application events by using webhooks. Implementing a webhook gives an external resource a URL for an application. The external resource then issues an HTTP request to that URL whenever a change is made that requires the application to take an action.

Lesson 2: Configuring a Message-Based Integration Architecture

  • Configure an app or service to send emails.
  • Configure an event publish and subscribe model.
  • Configure the Azure Relay service.
  • Configure apps and services with Microsoft Graph.

Lesson 3: Developing for Asynchronous Processing

  • Implement parallelism, multithreading, and processing
  • Implement Azure Functions and Azure Logic Apps
  • Implement interfaces for storage or data access
  • Implement appropriate asynchronous computing models
  • Implement autoscaling rules and patterns

Lesson 4: Developing for Autoscaling

  • Implementing autoscaling rules and patterns
  • Implementing code that addresses singleton application instances.
  • Begin creating apps for Autoscaling.

Lesson 5: Developing Azure Cognitive Services Solutions

  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker
$2,000.00