20535A Architecting Microsoft Azure Solutions

with 70-535 Exam Voucher

 

Overview

This Implementing Microsoft Azure Infrastructure Solutions course provides hands-on instruction and practice how to implementa infrastructure in Azure, in this five-day Microsoft Official Course. This course is part one in a series of two courses that provides the skills and knowledge necessary to implement a core infrastructure in Azure cloud environment.

This course will cover implementing components such as virtual networks, virtual machines, containers, web , mobile apps and storage in Azure.  You will also learn how to plan for and manage Azure AD, and configure Azure AD integration with on-premises Active Directory domains. 

This course maps directly to and is the preferred choice for hands-on preparation for the Microsoft Certified Solutions Associate (MCSA) 70-533: Implementing Microsoft Azure Infrastructure Solutions.

Learning item

  • Locate and reference the Cloud Design Patterns documentation
  • Locate and reference the Azure Architecture Center
  • Describe various patterns pulled from the Cloud Design Patterns
  • Create Resource Groups
  • Add resources to a resource group
  • Filter resources using tags
  • Author a complex deployment using the Azure Building Blocks tools
  • Design an availability set for one or more virtual machines
  • Describe the differences between fault and update domains
  • Author a VM Scale Set ARM template
  • Join a virtualized machine to a domain either in Azure or on a hybrid network
  • Describe the differences between App Service Environments, Service Fabric and Container Service
  • Use Azure Batch to manage an HPC workload
  • Migrate to an Infrastructure-backed PaaS service from another IaaS service or a legacy Cloud Service
  • Select between hosting application code or containers in an App Service instance
  • Describe the differeneces between API, Mobile, and Web Apps
  • Integrate an API or Logic App with the API Management service
  • Design an App Service Plan or multi-region deployment for high performance and scale
  • Determine the ideal pricing option for Azure Storage based on a solutions requirements
  • Identify performance thresholds for the Azure Storage service
  • Determine the type of Storage blobs to use for specific solution components
  • Use the Azure Files service for SMB operations
  • Identify solutions that could benefit from the use of StorSimple physical or virtual devices
  • Compare and contrast various database options on Azure
  • Identify data streaming options for large-scale data ingest
  • Identify long-term data storage options
  • Describe DNS and IP strategies for VNETs in Azure
  • Compare connectivity options for azd-hoc and hybrid connectivity
  • Distribute network traffic across multiple loads using load balancers
  • Design a hybrid connectivity scenario between cloud and on-premise
  • Integrate existing solutions with external identity providers using Azure B2B or B2C
  • Design a hybrid identity solution
  • Determine when to use advanced features of Azure AD such as Managed Service Identiity, MFA and Privileged Identity Management
  • Secure application secrets using Key Vault
  • Secure application data using SQL Database and Azure Storage features
  • Identify when Cognitive Services, Bot Service or Machine Learning is appropriate for solutions
  • Compare the various features available in Media Services and determine the appropriate features for solutions
  • Compare Storage Queues to Service Bus Queues
  • Identify when to use Azure Functions or Logic Apps for integration components in a solution
  • Describe the differences between IoT Hubs, Event Hubs and Time Series Insights
  • Compare and contract monitoring services for applications, the Azure platform and networking
  • Design an alert scheme for a solution hosted in Azure
  • Select the appropriate backup option for infrastructure and data hosted in Azure
  • Automate the deployment of future resources for backup and recover or scaling purposes

Audience

This course is intended for information technology (IT) professionals who have some knowledge and experience working cloud technologies:

  • It professionals who have the experience building infrastructure and applications on Microsoft Azure platform.  They have a thorough knowledge of most services offered on the Azure platform

  • Students will be working in the Azure environment and deploying solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags and RBAC

  • There is not a requirement of any direct experience writing code or configuring server machines.  The course focuses on the architecture comparisons between services and technical decision making needed to deploy well-designed solutions on the Azure platform. 

  • IT professionals that have intermediate experience designing, implementing and monitoring Azure solutions are a good candidate for this course

  • IT professionals should also have profiency with the tools, techniques and approaches used to build solutions on the Azure platform

Prereguisites

  • Completed the Microsoft Certified Systems Associate (MCSA) certification in Windows Server 2012 or Windows Server 2016
  • Create resources and resourse groups in Azure
  • Manage users, groups and subscriptions in an Azure Active Directory instance
  • Build an Azure Virtual Machine with related resources
  • Manage containers and blob storage 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 taks using Azure CLI or Azure PowerShell
  • Deploy an Azure SQL, MySQL, Progres or Cosmos database instance
  • Monitor existing Azure solutions using built-in metrics, Application Insights or Operational Insights

Course Hours

Monday - Friday (10AM - 6PM EST) Online

Price

$1750.00

Schedule for 2018

Online Orlando Las Vegas Miami Cayman Islands London
2/12 - 2/16TBDTBDTBDTBDTBD
3/12 - 3/16TDBTBDTBDTBDTBD
4/9 - 4/13TBDTBDTBDTBDTBD
5/14 - 5/18TBDTBDTBDTBD TBD
6/11 - 6/15TBDTBDTBDTBDTBD
7/9 - 7/13TDBTBDTBDTBD TBD
8/13 - 8/17TBDTBDTBDTBD TBD
9/10 - 9/14TBDTBDTBDTBD TBD
10/8 - 10/15TBDTBDTBDTBD TBD
11/12 - 11/16TBDTBDTBDTBD TBD
12/10 - 12/14TBDTBDTBDTBD TBD

Course Content

Module 1: Application Architecture Patterns in Azure

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.

  • Pattern Resources
  • Performance Patterns
  • Resiliency Patterns
  • Scalability Patters
  • Data Patterns

Module 2: Deploying Resources with Azure Resource Manager

This module helps to establishe 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.

  • ARM Templates
  • Role-Based Access Control (RBAC)
  • Resource Policies
  • Security
  • Building Blocks
  • Lab: Getting Started with Azure Resource Manager

Module 3: Building Azure IaaS-Based Server Applications

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.

  • High Availability
  • Templated Infrastructure
  • Domain-Connected Machines
  • Lab: Deploying Infrastructure Workloads to Azure

Module 4: Creating Managed Server Applications in Azure

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.

  • Infrastrcuture-Backed Platform-as-a-service (PaaS)
  • High-Performance Computer (HPC)
  • Migration
  • Lab: Deploying Managed Server Workloads to Azure

Module 5: Authoring Serverless Applications in Azure

This module discusses 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.

  • Azure Web App
  • Azure Functions
  • Integration
  • High Performance
  • Lab: Deploying Serverless Workloads to Azure

Module 6: Backing Azure Solutions with Azure Storage

This module covers 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.

  • Pricing
  • Blob Storage
  • Files
  • StorSimple
  • Lab: Deploying Azure Storage to Support Other Workloads in Azure

Module 7: Comparing Database Options in Azure

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).

  • Relational
  • NoSQL Services
  • Azure Cosmos DB
  • Data Storage
  • Data Analysis
  • Lab: Deploying Database Instances in Azure

Module 8: Networking Azure Application Components

This module discusses 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

  • VNETs
  • Load Balancing
  • External Connectivity
  • Hybrid Connectivity
  • Lab: Deploying Network Components for Use in Azure Solutions

Module 9: Managing Security and Identity for Azure Solutions

This module introduces 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.

  • 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

Module 10: Integrating SaaS Services Available on the Azure Platform

This module discusses 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.

  • Cognitive Services
  • Bot Services
  • Machine Learning
  • Media Services
  • Lab: Deploying Service Instances as Components of Overall Azure Solutions

Module 11: Integrating Azure Solution Components using Messaging Services

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.

  • Event Messaging
  • Integration
  • IoT
  • Lab: Deploying Messaging Components to Facilitate Communication Between Azure Resources

Module 12: Monitoring and Automating Azure Solutions

This module describes 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.

  • Application Monitoring
  • Platform Monitoring
  • Network Monitoring
  • Alerting
  • Backup
  • Azure Automation
  • Config Management
  • Auto-Scale
  • Lab: Deploying Configuration Management Solutions in Azure

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