Azure Solution Architect Boot Camp (AZ-300 and AZ-301)
Course Details

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Azure Solution Architect Boot Camp (AZ-300 and AZ-301)

Category ID Duration Price
Microsoft Azure 13566 5 Day(s) $3,500.00
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Description

In an intensive and immersive hands-on learning environment, you will build the skills needed for Azure Architect-Technologies contains courseware that helps prepare students for Exams AZ-300 and AZ-301. Passing this exam is required to earn the Azure Architect-Technologies certification.

This boot camp includes all the exam vouchers required for certification. It also includes access to our Microsoft Boot Camp Exclusives, providing indispensable certification exam prep.

You will prepare for these exams:

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

This course covers:

Course AZ-300T01: Deploying and Configuring Infrastructure.
Course AZ-300T02: Implementing Workloads and Security.
Course AZ-300T03: Understanding Cloud Architect Technology Solutions.
Course AZ-300T04: Creating and Deploying Apps.
Course AZ-300T05: Implementing Authentication and Secure Data.
Course AZ-300T06: Developing for the Cloud.

Objectives

· 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
· 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.

Prerequisites

Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

Outline

AZ-301T01:  Designing for Identity and Security
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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