Architecting Microsoft Azure Solutions (70-535)

This course is intended for architects who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have a thorough understanding of most services offered on the Azure platform. The students typically work for organizations that have an active solution on Azure and are planning to enhance existing solutions or deploy more solutions to the Azure platform. This course also is intended for architects who want to take the Microsoft Certification exam, 70-535, Architecting Microsoft Azure Solutions.

What you will Learn

This course is intended for students who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have a thorough understanding of most services offered on the Azure platform.

For the interactive component, this course offers students the opportunity to deploy Azure solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags, and Role-Based Access Control.

This course does not require any direct experience writing application code or configuring server machines. This course focuses on the architectural comparisons between services and technical decision making needed to deploy well-designed solutions on the Azure platform. This course also prepares the students for the 70-535: Architecting Microsoft Azure Solutions certification exam.

The candidates targeted by this training have intermediate experience in designing, implementing and monitoring Azure solutions. Candidates are also proficient with the tools, techniques, and approaches used to build solutions on the Azure platform.

PREREQUISITES

Create resources and resource group in Azure.
Manage users, groups, and subscriptions in an Azure Active Directory instance.
Build an Azure Virtual Machine with related resources.
Manage containers and blobs stored in an Azure Storage account.
Create App Service Plans and manage apps related to the plan.
Configure an Azure Virtual Network and enable S2S and P2S connectivity.
Protect networked application components using Network Security Groups.
Automate everyday Azure resource tasks using Azure CLI or Azure PowerShell.
Deploy an Azure SQL, MySQL, Postgres or Cosmos database instance.
Monitor existing Azure solutions using built-in metrics, Application Insights, or Operational Insights.
Monitor existing Azure solutions using built-in metrics, Application Insights, or Operational Insights.

CURRICULUM

Learning Objectives:

This module introduces and reviews common Azure patterns and architectures as prescribed by the Microsoft Patterns & Practices team. Each pattern is grouped into performance, resiliency, and scalability categories and described in the context of similar patterns within the category.

Lessons
Pattern Resources
Performance Patterns
Resiliency Patterns
Scalability Patterns
Data Patterns

Learning Objectives:

This module establishes a basic understanding of Azure Resource Manager and the core concepts of deployments, resources, templates, resource groups, and tags. The module will dive deeply into the automated deployment of resources using ARM templates.

Lessons
ARM Templates
Role-Based Access Control (RBAC)
Resource Policies
Security
Building Blocks
Lab : Getting Started with Azure Resource Manager
Create Resource Groups
Deploy an Empty Template
Deploy a Simple Template
Cleanup Subscription

Learning Objectives:

This module identifies workloads that are ideally deployed using Infrastructure-as-a-Service services in Azure. The module focuses on the VM Scale Sets and Virtual Machine services in Azure and how to best deploy workloads to these services using best practices and features such as Availability Sets.

Lessons
High Availability
Templated Infrastructure
Domain-Connected Machines
Lab : Deploying Infrastructure Workloads to Azure
Deploy a Virtual Machine using PowerShell DSC
Deploy a Virtual Machine Scale Set using PowerShell DSC
Cleanup Subscription

Learning Objectives:

This module describes services that use infrastructure but manage the infrastructure on behalf of the user instead of obfuscating the infrastructure resources. The module focuses on Infrastructure-backed PaaS options such as Azure Service Fabric, Container Service, and App Service Environments. The module will explore how to deploy custom workloads to these services such as an HPC batch processing task.

Lessons
Infrastructure-Backed Platform-as-a-Service (PaaS)
High-Performance Computer (HPC)
Migration
Lab: Deploying Managed Server Workloads to Azure
Create Azure Container Service Cluster
Deploy Docker Image
Cleanup Subscription

Learning Objectives:

This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows and HPC workloads without the requirement to manage specific server resources. The module focuses on App Services-related components such as Web Apps, API Apps, Mobile Apps, Logic Apps, and Functions.

Lessons
Azure Web App
Azure Functions
Integration
High Performance
Lab : Deploying Serverless Workloads to Azure
Create Web App
Deploy Web App Code
Deploy Function App and Code
Cleanup Subscription

Learning Objectives:

This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure. The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution.

Lessons
Pricing
Blob Storage
Files
StorSimple

Lab: Deploying Azure Storage to Support Other Workloads in Azure

Create Required Resources for a Virtual Machine
Create a VM With a Storage Account
Create a VM With a Managed Disk
Cleanup Subscription

Learning Objectives:

This module compares the various relational and non-relational data storage options available in Azure. Options are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake).

Lessons
Relational
NoSQL Services
Azure Cosmos DB
Data Storage
Data Analysis

Lab : Deploying Database Instances in Azure

Deploy a CosmosDB Database Instance
Validate the REST API
Cleanup Subscription

Learning Objectives:

This module describes the various networking and connectivity options available for solutions deployed on Azure. The module explores connectivity options ranging from ad-hoc connections to long-term hybrid connectivity scenarios. The module also discusses some of the performance and security concerns related to balancing workloads across multiple compute instances, connecting on-premise infrastructure to the cloud and creating gateways for on-premise data.

Lessons
VNETs
Load Balancing
External Connectivity
Hybrid Connectivity

Lab : Deploying Network Components for Use in Azure Solutions

Create an ARM Template for a Linux VM
Duplicate the VM Resources
Create a Load Balancer Resource
Cleanup Subscription

Learning Objectives:

This module discusses both security and identity within the context of Azure. For security, this module reviews the various options for monitoring security, the options available for securing data and the options for securing application secrets. For identity, this module focuses specifically on Azure Active Directory (Azure AD) and the various features available such as Multi-Factor Authentication (MFA), Managed Service Identity, Azure AD Connect, ADFS and Azure AD B2B/B2C.

Lessons
Security Monitoring
Data Security
Application Security Azure Active Directory (Azure AD)
Hybrid Identity
Azure AD Application Integration
Lab : Deploying Services to Secure Secrets in Azure
Deploy Key Vault using ARM Template
Deploy Virtual Machine using Key Vault Secret
Cleanup Subscription

Learning Objectives:

This module introduces multiple SaaS services available in Azure that are available for integration into existing Azure solutions. These services include Cognitive Services, Bot Service, Machine Learning and Media Services.

Lessons
Cognitive Services
Bot Services
Machine Learning
Media Services

Lab : Deploying Service Instances as Components of Overall Azure Solutions

Deploy Function App and Cognitive Service using ARM Template
Cleanup Subscription

Learning Objectives:

This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform. Messaging services described include Azure Storage Queues, Service Bus Queues, Service Bus Relay, IoT Hubs, Event Hubs, and Notification Hubs. Integration services include Azure Functions and Logic Apps.

Lessons
Event Messaging
Integration
IoT

Lab : Deploying Messaging Components to Facilitate Communication Between Azure Resources

Deploy Service Bus Namespace
Deploy Logic App
Cleanup Subscription

Learning Objectives:

This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed. The module reviews services that are used to monitor individual applications, the Azure platform, and networked components. This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure.

Lessons
Application Monitoring
Platform Monitoring
Network Monitoring
Alerting
Backup
Azure Automation
Config Management
Auto-Scale

Lab : Deploying Configuration Management Solutions to Azure

Deploy a Chef Management Server using ARM
Configure Management Server
Deploy a VM Scale Set using Chef-Configured VMs
Cleanup Subscription

FAQs

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