AZ-300: Microsoft Azure Architect Technologies Expert


Duration: 5 Days


Learn to Deploy and Configure Infrastructure, Implement workloads and security, create and deploy Apps, Implement Authentication and Secure Data and develop for the Cloud and for Azure Storage.
This course provides students with the key knowledge to help prepare for Exam AZ-300. Passing this exam is required to earn Microsoft Certified Azure Solutions Architect Expert certification.

Additional information

Course Content

Deploying and Configuring Infrastructure

1. Managing Azure Subscriptions and Resources
– Azure monitoring capabilities using Azure alerts
– Azure activity logs, and Log Analytics
– Query, analyze, and interpret the data viewed in Log

2. Implementing and Managing Storage
– Azure storage accounts
– Data replication
– How to use Azure Storage Explorer, and monitor

3. Deploying and Managing Virtual Machines (VMs)
– Create Virtual Machines (VM)s within the Azure Portal
– Create Virtual Machines (VM)s using Azure
– Create Virtual Machines (VM)s using ARM templates
– Deploy Linux Virtual Machines (VM)s
– Monitor Virtual Machines (VM)s Additionally

4. Configuring and Managing Virtual Networks
– Network routing using routing tables and algorithms
– Inter-site connectivity using VNet-to-VNet
connections and VPNs
– Virtual network peering for regional and global
– Gateway transit

5. Managing Identities
– Role-Based Access Control (RBAC)
– Built-in roles
– Self-Service Password Reset (SSPR)
– Authentication methods for password reset

Implementing Workloads and Security

1. Evaluating and Performing Server Migration to Azure
– Creating a project
– Creating a collector
– Assessing readiness, and estimating costs.
– Overview of Azure Site Recovery (ASR) that includes
and end-to-end scenarios.

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

3. Implementing Advanced Virtual Networking
– Azure Load Balancer
– Azure Application Gateway
– Site-to-Site VPN Connections
– Overview of ExpressRoute

4. Securing Identities
– Azure AD Identity Protection
– Azure Domains and Tenants
– Azure Users and Groups
– Azure Roles
– Overview of Azure AD integration

Understanding Cloud Architect Technology Solutions

1. Selecting Compute and Storage Solutions
– Azure Architecture Center
– Cloud design patterns
– Competing consumers pattern
– Cache-aside pattern
– Sharding patterns to divide a data store into horizontal
partitions, or shards.

2. Hybrid Networking
– Site-to-site connectivity
– Point-to-site connectivity
– Combining site-to-site and point-to-site connectivity
– Virtual network–to–virtual network connectivity
– Connecting across cloud providers for failover, backup,
or even migration between
providers such as AWS

3. Measuring Throughput and Structure of Data Access
– DTUs – Azure SQL Database
– RUs – Azure Cosmos DB
– Structured and unstructured data
– Using structured data stores

Creating and Deploying Apps

1. Creating Web Applications using PaaS
– Using shell commands to create an App Service Web
– Creating Background Tasks
– Using Swagger to document an API
– Logic Apps

2. Creating Apps and Services Running on Service Fabric
– Creating a reliable service
– Creating a Reliable Actors app
– Working with Reliable collections

3. Using Azure Kubernetes Service
– Azure Container Registry
– Azure Container Instances

Developing for the Cloud

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
– Implementing code to address application events by
using webhooks

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

3. Developing for Asynchronous Processing
– Implement parallelism, multithreading, and
– Implement Azure Functions and Azure Logic Apps
– Implement interfaces for storage or data access
– Implement appropriate asynchronous computing
– Implement autoscaling rules and patterns

4. Developing for Autoscaling
– Implementing autoscaling rules and patterns
– Implementing code that addresses singleton
application instances
– Implementing code that addresses a transient state

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


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