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Microsoft Certified Azure Solutions Architect Expert

Role-based Microsoft Certification for Azure Solutions Architects

If you want to become a Microsoft Certified Azure Solutions Architect Expert Certification then you are in the right place. EMIGO providing Best Microsoft Certified Azure Solutions Architect Expert Certification Training in Kochi.

There are no formal prerequisites for Microsoft Certified Azure Solutions Architect Expert certification. You are expected to have an in-depth understanding of the topics in the exam blueprints and strongly encouraged to have three to five years of job experience before attempting certification.

Master the skills needed to design solutions that run on Azure. A Microsoft Azure solution architect must have expertise in compute, network, storage, and security. Train for your Azure Solutions Architect Expert certification with Microsoft's largest worldwide Gold Learning Partner and Gold Cloud Platform partner. Train for your certification with Global Knowledge today.

Earning this certification will validate you are able to:

  • Deploy and Configure Infrastructure
  • Implement Workloads and Security
  • Create and Deploy Apps
  • Implement Authentication and Secure Data
  • Develop for the Cloud
  • Determine Workload Requirements
  • Design for Identity and Security
  • Design a Data Platform Solution
  • Design a Business Continuity Strategy
  • Design for Deployment, Migration, and Integration
  • Design an Infrastructure Strategy

REQUIRED EXAMS

    • AZ-300: Microsoft Azure Architect Technologies
    • AZ-301:  Microsoft Azure Architect Design

Azure Solutions Architect Technologies (AZ-300)

Designing for Identity and Security, Designing a Data Platform Solution, Design for Deployment, Migration and Integration and Designing an Infrastructure Strategy.

COURSE OVERVIEW

TOP

This course teaches IT Professionals:

  • How to manage their Azure resources, including deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities.
  • Learn how cloud resources are managed in Azure through user and group accounts, and how to grant access to Azure AD users, groups, and services using Role-based access control (RBAC).
  • Learn about the different storage accounts and services as well as basic data replication concepts and available replication schemes.
  • Introduced to Storage Explorer as a convenient way to work with Azure storage data.
  • Learn the types of storage and how to work with managed and custom disks.
  • Azure blob storage is how Azure stores unstructured data in the cloud, and you will work with blobs and blob containers. In addition to blob storage, the course covers Table and Queue storage as storage options for structured data.
  • Learn how to create and deploy virtual machines in Azure, using the Azure portal, PowerShell, and ARM templates. The course includes instruction on deploying custom images and Linux virtual machines. You will see how to configure the networking and storage components of virtual machines. Deploying highly available virtual machines is critical for planned and unplanned events, and you will learn how to use availability sets to ensure that virtual machine resources are available during downtime.
  • Learn the monitoring tools and capabilities provided by Azure, including Azure Alerts and Activity Log. In addition to alerts and logs, you will be introduced to Log Analytics as an effective data analytics solution for understanding your system status and health. And perhaps the most exciting thing you will learn is how to use the Azure Resource Manager deployment model to work with resources, resource groups, and ARM templates.
  • Discover, assess, plan and implement a migration of on-premises resources and infrastructure to Azure.
  • Learn how to use Azure Migrate to perform the discovery and assessment phase that is critical to a successful migration. Students will also learn how to use Azure Site Recovery for performing the actual migration of workloads to Azure. The course focuses primarily on using ASR on a Hyper-V infrastructure to prepare and complete the migration process.
  • Learn how to deploy serverless computing features like Azure Functions, Event Grid, and Service Bus. You will learn how Azure Multi-Factor Authentication helps safeguard access to data and applications, helping to meet customer demand for a simple sign-in process. Also, how to use Azure Active Directory Privileged Identity Management to manage, control, and monitor access to Azure resources within your organization.
  • Manage and maintain the infrastructure for the core web apps and services that developers build and deploy.
  • Learn how Azure App Service is used as a Platform as a Service (PaaS) offering for deploying cloud apps for web and mobile environments.
  • Get a glimpse of how to implement advanced networking features like Application Gateway and how to configure load balancing. Learn to integrate on-premises networks with Azure virtual networks and to use Network Watcher to monitor and troubleshoot issues.
  • Operations are done in parallel and asynchronously. And, how your whole enterprise system must be resilient when failures occur, and just as importantly, how deployments can be automated and predictable. By using the Azure Application Architecture Guide and Azure reference architectures as a basis, you will understand how monitoring and telemetry are critical for gaining insight into the system.
  • You will dive into the cloud design patterns that are important, such as partitioning workloads where a modular application is divided into functional units that can be integrated into a larger application. In such cases, each module handles a portion of the application's overall functionality and represents a set of related concerns.
  • Load balancing where the application traffic, or load, is distributed among various endpoints by using algorithms. Load balancers allow multiple instances of your website to be created so they can behave in a predictable manner. In Azure, it is possible to use virtual load balancers, which are hosted in virtual machines, if a company requires a very specific load balancer configuration.
  • Transient fault handling which helps define the primary differences between developing applications on-premises and in the to handle transient errors. Transient errors are errors that occur due to temporary interruptions in the service or to excess latency.
  • Discussion of hybrid networking that provides an overview of site-to-site connectivity, point-to-site connectivity, and the combination of the two. 
  • To build Logic App solutions that integrate apps, data, systems, and services across enterprises or organizations by automating tasks and business processes as workflows. Logic Apps is cloud service in Azure that simplifies how you design and create scalable solutions for app integration, data integration, system integration, enterprise application integration (EAI), and business-to-business (B2B) communication, whether in the cloud, on premises, or both.
  • How Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices and containers. Service Fabric also addresses the significant challenges in developing and managing cloud native applications. Developers and administrators can avoid complex infrastructure problems and focus on implementing mission-critical, demanding workloads that are scalable, reliable, and manageable. Service Fabric represents the next-generation platform for building and managing these enterprise-class, tier-1, cloud-scale applications running in containers.
  • See how Azure Kubernetes Service (AKS) makes it simple to deploy a managed Kubernetes cluster in Azure. AKS reduces the complexity and operational overhead of managing Kubernetes by offloading much of that responsibility to Azure. As a hosted Kubernetes service, Azure handles critical tasks like health monitoring and maintenance for you. 
  • Learn how to Implement authentication in applications (certificates, Azure AD, Azure AD Connect, token-based), implement secure data (SSL and TLS), and manage cryptographic keys in Azure Key Vault.
  • Learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

WHAT YOU'LL LEARN

TOP

  • Managing Azure Subscriptions and Resources
  • Implementing and Managing Storage
  • Deploying and Managing VMs
  • Configuring and Managing Virtual Networks
  • Managing Identities using Azure Active Directory
  • Evaluating and Performing Server Migration to Azure
  • Implementing and Managing Application Services 
  • Implementing Advanced Virtual Networking.
  • Securing Identities using Azure AD.
  • Design and Connectivity Patterns
  •  
  • Hybrid Networking 
  • Address Durability of Data and Caching 
  • Measure Throughput and Structure of Data Access
  • Use shell commands to create an App Service Web App
  • Create Background Tasks
  • Use Swagger to document an API
  • Create a reliable service
  • Create a Reliable Actors app
  • Hands-on with Reliable collections
  • Understand the Azure Container Registry
  • Use Azure Container instances
  • Understand how to Implement authentication using certificates, Azure AD, Azure AD Connect, and tokens.
  • Implement Role-aBsed Access Control (RBAC) authorization.
  • 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.
  • How to configure a message-based integration architecture
  • Understand how to Develop for Asynchronous Processing
  • Begin creating apps for Autoscaling
  • Understand Azure Cognitive Services Solutions

AZ-300T01:  Deploying and Configuring Infrastructure

CLASSROOM LIVE OUTLINE

Module 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.

After completing this module, students will be able to:

  • Managing Azure Subscriptions and Resources

Module 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.

After completing this module, students will be able to:

  • Implementing and Managing Storage 

Module 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.

After completing this module, students will be able to:

  • Deploying and Managing VMs

Module 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.

Lessons

  • 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
  • After completing this module, students will be able to:
  • Configuring and Managing Virtual Networks

Module 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.

Lessons

  • Role-Based Access Control (RBAC)
  • built-in roles
  • Self-Service Password Reset (SSPR)
  • authentication methods for password reset
  • After completing this module, students will be able to:
  • Managing Identities using Azure Active Directory

AZ-300T02:  Implementing Workloads and Security

Module 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. Additionally, you will receive and overview of Azure Site Recovery (ASR) that includes and end-to-end scenarios.

After completing this module, students will be able to:

  • Evaluating and Performing Server Migration to Azure

Module 2: Implementing and Managing Application Services

Module 2: Implementing and Managing Application Services

    This module includes the following topics:
  • Deploying Web Apps
  • Managing Web Apps
  • App Service Security
  • Serverless Computing Concepts
  • Managing Event Grid
  • Managing Service Bus
  • Managing Logic App
  • After completing this module, students will be able to:
  • Implementing and Managing Application Services

Module 3: Implementing Advanced Virtual Networking

This module includes the following topics:

  • 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.
  • After completing this module, students will be able to:
  • Implementing Advanced Virtual Networking.

Module 4: Securing Identities

This module includes the following topics with an emphasis on identity and roles:

  • 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.
  • After completing this module, students will be able to:
  • Securing Identities using Azure AD

AZ-300T03:  Understanding Cloud Architect Technology Solutions

Module 1: Selecting Compute and Storage Solutions

This module includes the following topics:

  • 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.
  • After completing this module, students will be able to:
  • Design and Connectivity Patterns 

Module 2: Hybrid Networking

This module includes the following topics:

  • Site-to-site connectivity
  • Point-to-site connectivity
  • 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.
  • After completing this module, students will be able to:
  • Hybrid Networking 

Module 3: Measuring Throughput and Structure of Data Access

    This module includes the following topics:
  • DTUs – Azure SQL Database
  • RUs – Azure Cosmos DB
  • Structured and unstructured data
  • Using structured data stores
  • After completing this module, students will be able to:
  • Address Durability of Data and Caching 
  • Measure Throughput and Structure of Data Access

Module 4:  Implementing Authentication

This module includes the following topics:

  • Implementing authentication in applications
  • Implement multi-factor authentication
  • Role-based access control (RBAC) authorization
  • Implement OAuth2 authentication

Module 5:  Implementing Secure Data

  • End-to-end encryption
  • Implement Azure confidential computing
  • Implement SSL and TLS communications
  • Manage cryptographic keys in Azure Key Vault

Module 6:  Business Continuity and Resiliency in Azure

  • Business Continuity
  • High Availability and Disaster Recovery
  • Application Design
  • Testing, Deployment, and Maintenance
  • Monitoring and Disaster Recovery

AZ-300T04:  Creating and Deploying Apps

Module 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.
  • After completing this module, students will be able to:
  • Use shell commands to create an App Service Web App
  • Create Background Tasks
  • Use Swagger to document an API

Module 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
  • After completing this module, students will be able to:
  • Create a reliable service
  • Create a Reliable Actors app
  • Hands-on with Reliable collections

Module 3: Using Azure Kubernetes Service

This module focuses on the Azure Kubernetes 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:

  • Azure Container Registry
  • Azure Container Instances
  • After completing this module, students will be able to:
  • Understand the Azure Container Registry
  • Use Azure Container instances

AZ-300T06:  Developing for the Cloud

Module 1: Developing Long-Running Tasks and Distributed Transactions

Topics for this module include:

  • 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.

Module 2: Configuring a Message-Based Integration Architecture

Lessons

  • 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
  • After completing this module, students will be able to:
  • How to configure a message-based integration architecture

Module 3: Developing for Asynchronous Processing

Lessons

  • 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
  • After completing this module, students will be able to:
  • Understand how to Develop for Asynchronous Processing

Module 4: Developing for Autoscaling

Lessons

  • Implementing autoscaling rules and patterns
  • Implementing code that addresses singleton application instances
  • Implementing code that addresses a transient state
  • After completing this module, students will be able to:
  • Begin creating apps for Autoscaling

Module 5: Developing Azure Cognitive Services Solutions

Lessons

  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker
  • After completing this module, students will be able to:
  • Understand Azure Cognitive Services Solutions

Classroom Live Labs

Lab - Managing Azure Subscriptions and Resources

  • Exploring Monitoring Capabilities in Azure
  • Lab - Deploying and Managing Virtual Machines (VMs)
  • Implementing Custom Azure VM Images
  • Lab - Managing Identities
  • Implementing user-assigned managed identities for Azure resources
  • Lab - Evaluating and Performing Server Migration to Azure
  • Topic: Implementing Azure to Azure migration
  • Lab - Configuring and Managing Virtual Networks
  • Configuring VNet peering and service chaining
  • Lab - Implementing and Managing Storage
  • Implementing Azure Storage access controls
  • Lab - Securing Identities
  • Implementing custom Role Based Access Control (RBAC) roles
  • Lab - Implementing and Managing Application Services
  • Implementing Azure Logic Apps

Azure Solutions Architect Design (AZ-301)

Designing for Identity and Security, designing a Data Platform Solution, Design for Deployment, Migration and Integration, Design an Infrastructure Strategy.

COURSE OVERVIEW

  • Learn how to manage security and identity within the context of Azure. Also, you’ll be introduced to multiple SaaS services available in Azure that for integration into existing Azure solutions.
  • Learn to Compare and contrast various database options on Azure, identify data streaming options for large-scale data ingest, and identify longer-term data storage options.
  • Learn how to deploy an ARM template to a resource group, author a complex deployment using the Azure Building Blocks tools, and integrate an API or Logic App with the API Management service.
  • Learn how to Describe DNS and IP strategies for VNETs in Azure, compare connectivity options for ad-hoc and hybrid connectivity, distribute network traffic across multiple loads using load balancers, and design a hybrid connectivity scenario between cloud and on-premise.

WHAT YOU'LL LEARN

TOP

  • Integrate their existing solutions with external identity providers using Azure AD B2B or B2C.
  • Design a hybrid identity solution.
  • Determine when to use advanced features of Azure AD such as Managed Service Identity, MFA and Privileged Identity Management.
  • Secure application secrets using Key Vault.
  • Secure application data using SQL Database and Azure Storage features.
  • Detail the various APIs available in Cognitive Services.
  • Identify when to use the Face API, Speech API or Language Understanding (LUIS) service.
  • Describe the relationship to Bot Framework and Azure Bot Services.
  • Determine the ideal pricing option for Azure Storage based on a solution’s 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 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 recovery or scaling purposes.
  • Create a resource group.
  • Add resources to a resource group.
  • Deploy an ARM template to a resource group 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.
  • 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.
  • Describe various patterns pulled from the Cloud Design Patterns.
  • Distribute network traffic across multiple loads using load balancers.
  • Design a hybrid connectivity scenario between cloud and on-premise.
  • 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.

AZ-301T01:  Designing for Identity and Security

CLASSROOM LIVE OUTLINE

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.

Module 2: Integrating SaaS Services Available on the Azure Platform

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.

AZ-301T02:  Designing a Data Platform Solution

Module 1: Backing Azure Solutions with Azure Storage

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.

After completing this module, students will be able to:

  • Determine the ideal pricing option for Azure Storage based on a solution’s 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.

Module 2: 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).

Module 3: Monitoring & Automating Azure Solutions

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.

AZ-301T03:  Designing for Deployment, Migration, and Integration

Module 1: Deploying Resources with Azure Resource Manager

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.

Module 2: Creating Managed Server Applications in Azure

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.

Module 3: Authoring Serverless Applications in Azure

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.

AZ-301T04:  Designing an Infrastructure Strategy

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.

After completing this module, students will be able to:

  • Locate and reference the Cloud Design Patterns documentation.
  • Locate and reference the Azure Architecture Center.
  • Describe various patterns pulled from the Cloud Design Patterns.

Module 2: Building Azure IaaS-Based Server Applications (ADSK)

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.

Module 3: Networking Azure Application Components

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.

Module 4: 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.

AZ-301T01:  Designing for Identity and Security

Classroom Live Labs

Lab : Securing Secrets in Azure

After completing this module, students will be able to:

  • Integrate their existing solutions with external identity providers using Azure AD B2B or B2C.
  • Design a hybrid identity solution.
  • Determine when to use advanced features of Azure AD such as Managed Service Identity, MFA and Privileged Identity Management.
  • Secure application secrets using Key Vault.
  • Secure application data using SQL Database and Azure Storage features.

Lab : Deploying Service Instances as Components of Overall Azure Solutions

After completing this module, students will be able to:

  • Detail the various APIs available in Cognitive Services.
  • Identify when to use the Face API, Speech API or Language Understanding (LUIS) service.

AZ-301T02:  Designing a Data Platform Solution

Lab : Deploying Database Instances in Azure

After completing this module, students will be able to:

  • Compare and contrast monitoring services for applications, the Azure platform, and networking.
  • Identify data streaming options for large-scale data ingest.
  • Identify longer-term data storage options.

Lab : Deploying Configuration Management Solutions to Azure

After completing this module, students will be able to:

  • Compare and contrast 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 recovery or scaling purposes.

AZ-301T03:  Designing for Deployment, Migration, and Integration

Lab : Deploying Resources with Azure Resource Manager

After completing this module, students will be able to:

  • Create a resource group.
  • Add resources to a resource group.
  • Deploy an ARM template to a resource group.
  • Filter resources using tags.
  • Author a complex deployment using the Azure Building Blocks tools.

Lab : Deploying Managed Containerized Workloads to Azure

After completing this module, students will be able to:

  • Select between hosting application code or containers in an App Service instance.
  • Describe the differences 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.

Lab : Deploying Serverless Workloads to Azure

After completing this module, students will be able to:

  • Select between hosting application code or containers in an App Service instance.
  • Describe the differences 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.

AZ-301T04:  Designing an Infrastructure Strategy

Lab : Building Azure IaaS-Based Server Applications.

After completing this module, students will be able to:

  • 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.

Lab : Deploying Network Infrastructure for Use in Azure Solutions

After completing this module, students will be able to:

  • Describe DNS and IP strategies for VNETs in Azure.
  • Compare connectivity options for ad-hoc and hybrid connectivity.
  • Distribute network traffic across multiple loads using load balancers.
  • Design a hybrid connectivity scenario between cloud and on-premise.

Lab : Integrating Azure Solution Components using Messaging Services

After completing this module, students will be able to:

  • 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.

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