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Microsoft Azure Solutions Architect - Design (M-AZ301)

Key points about this course


Duration: 3 Days*

Accredited: Yes

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  • Integrate 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

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Course Information

Microsoft Azure Solutions Architect - Design (M-AZ301) Overview

​This 4-day course teaches the following:

  • 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
  • How 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
  • 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
  • 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

It also prepares learners for Exam AZ301.

Who should attend?

Learners should have practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

 

Prerequisites

There are no formal prerequisites, though Microsoft Certified: Azure Fundamentals certification is recommended.

Microsoft Azure Solutions Architect - Design (M-AZ301) Outline

Module 1: Managing Security & Identity for Azure Solutions

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.

  • 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.

 

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

  • 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.

 

Module 3: 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 4: 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)

  • 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.

 

Module 5: 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.

  • 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.

 

Module 6: 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.

  • 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.

 

Module 7: 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.

  • 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.

 

Module 8: 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.

  • 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.

 

Module 9: 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 10: 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.

  • 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.

 

Module 11: 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.

  • 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.

 

Module 12: 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.

  • 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.
Please arrive at the venue at 8:45am.
There are no formal prerequisites, though Microsoft Certified: Azure Fundamentals certification is recommended.
Learners should have practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 4 days
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

Microsoft Azure Solutions Architect - Design (M-AZ301) Exam

Exam AZ-301 covers the following areas:

  • Determine workload requirements (10-15%)

  • Design for identity and security (20-25%)

  • Design a data platform solution (15-20%)

  • Design a business continuity strategy (15-20%)

  • Design for deployment, migration, and integration (10-15%)

  • Design an infrastructure strategy (15-20%)

Dates & Prices

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Belfast
Mon 1st Jul 2019
Places available
£2995
VirtualLive Virtual
Mon 8th Jul 2019
Places available
£2295
Liverpool
Mon 8th Jul 2019
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£2995
Leeds
Mon 15th Jul 2019
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£2995
Reading
Mon 15th Jul 2019
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£2995
Nottingham
Mon 22nd Jul 2019
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£2995
Glasgow
Mon 22nd Jul 2019
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£2995
London
Mon 29th Jul 2019
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£2295
Brighton
Mon 29th Jul 2019
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£2995
VirtualLive Virtual
Mon 5th Aug 2019
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£2295
Birmingham
Mon 5th Aug 2019
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£2295
London
Mon 19th Aug 2019
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£2295
Manchester
Mon 2nd Sep 2019
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£2295
VirtualLive Virtual
Mon 9th Sep 2019
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£2295
Dublin
Mon 9th Sep 2019
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€2995
Southampton
Mon 16th Sep 2019
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£2995
Edinburgh
Mon 23rd Sep 2019
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£2995
Cambridge
Mon 23rd Sep 2019
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£2995
London
Mon 30th Sep 2019
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£2295
Maidstone
Mon 7th Oct 2019
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£2995
Newcastle
Mon 7th Oct 2019
Places available
£2995
VirtualLive Virtual
Mon 14th Oct 2019
Places available
£2295
Bristol
Mon 14th Oct 2019
Places available
£2995
Cardiff
Mon 14th Oct 2019
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£2995
Milton Keynes
Mon 21st Oct 2019
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£2995
Leeds
Mon 21st Oct 2019
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£2995
London
Mon 28th Oct 2019
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£2295
Aberdeen
Mon 28th Oct 2019
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£2995
Birmingham
Mon 4th Nov 2019
Places available
£2295
Norwich
Mon 4th Nov 2019
Places available
£2995
VirtualLive Virtual
Mon 11th Nov 2019
Places available
£2295
Reading
Mon 11th Nov 2019
Places available
£2995
Liverpool
Mon 11th Nov 2019
Places available
£2995
Glasgow
Mon 18th Nov 2019
Places available
£2995
Nottingham
Mon 18th Nov 2019
Places available
£2995
London
Mon 25th Nov 2019
Places available
£2295
Brighton
Mon 25th Nov 2019
Places available
£2995
Belfast
Mon 25th Nov 2019
Places available
£2995
VirtualLive Virtual
Mon 9th Dec 2019
Places available
£2295
Manchester
Mon 9th Dec 2019
Places available
£2295
Sheffield
Mon 9th Dec 2019
Places available
£2995
London
Mon 16th Dec 2019
Places available
£2295

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Key points about this course


Duration: 3 Days*

Accredited: Yes


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