Microsoft Azure Architect Design
CloudLabs
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Assignment
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Course Overview
Through this Microsoft AZ301 Certification training, you’ll be introduced to multiple SaaS services available in Azure for integration into existing Azure solutions. 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 to deploy an ARM template to a resource group while authoring a complex deployment using the Azure Building Blocks tools.With our advanced Cloudlabs, you have a hassle-free lab environment to gain real-time experience working with the Azure platform. Use the Azure Resource Manager (ARM) template to deploy web apps & related resources in a single operation, migrate virtual machines to the Azure cloud & much more.
At the end of the training, participants 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
- ● Determine the ideal pricing option for Azure Storage based on a solution’s requirements.
- ● Identify performance thresholds for the Azure Storage service.
- ● 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.
- ● Describe various patterns pulled from the Cloud Design Patterns.
- ● Distribute network traffic across multiple loads using load balancers.
Pre-requisite
- Proficient in Azure administration, Azure development, and DevOps, and have expert-level skills in at least one of those domains.
Duration
5 days
Course 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.
- 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.
- 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.
- Identify data streaming options for large-scale data ingest.
- Identify longer-term data storage options.
- 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.
- 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.
- 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.
- 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.
- Locate and reference the Cloud Design Patterns documentation.
- Locate and reference the Azure Architecture Center.
- Describe various patterns pulled from the Cloud Design Patterns.
- 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.
- 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.
- 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