Atpakaļ

AZ-300T, Microsoft Azure arhitekts: Tehnoloģijas

Kursa ilgums, akadēmiskās stundas:40
Kursa cena, EUR (bez PVN):1500,00

Plāni

Datums, laiksVietaValoda
30.septembris - 4.oktobris, 2019 RĪGA, Tallinas 4Latviski
Pieteikties

 

Apraksts nav pieejams latviešu valodā

About this Course

This five day course is aligned to Microsoft Azure Exam AZ-300, Microsoft Azure Architect Technologies. Passing this exam is required to earn the Microsoft Certified Azure Solutions Architect Expert certification.

Modules covered in this course:

  • Module 1: Deploying and Configuring Infrastructure
  • Module 2: Implementing Workloads and Security
  • Module 3: Understanding Cloud Architect Technology Solutions
  • Module 4: Creating and Deploying Apps
  • Module 5: Developing for the Cloud

Prerequisites

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

At Course Completion

After completing this course, students will be able to:

  • 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
  • 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

Certification Exam

This course helps you prepare for the following Microsoft Certification exam:

Course Outline

MODULE 1: Deploying and Configuring Infrastructure

This module 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. You will also 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).

You will learn about the different storage accounts and services as well as basic data replication concepts and available replication schemes. Students are also introduced to Storage Explorer as a convenient way to work with Azure storage data. Students also 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 module covers Table and Queue storage as storage options for structured data.

You will learn how to create and deploy virtual machines in Azure, using the Azure portal, PowerShell, and ARM templates. The module 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.

You will 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.

Because this module is the first module in the series for the Azure Solutions Architect exams, there is a sizeable amount of introductory content presented to prepare students for the remaining modules and courses in the curriculum. Students are provided with a lesson that covers tips and tricks for working in the Azure portal, as well as an introduction to key tools used in the Azure environment, such as the Cloud Shell and Resource Explorer. Emphasis is focused on PowerShell and the command line interface (CLI) as important skills to acquire not only in preparation for the exam but for the job role itself.

1. Managing Azure Subscriptions and Resources

2.  Implementing and Managing Storage

3. Deploying and Managing Virtual Machines

4. Configuring and Managing Virtual Networks

  • 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

5. Managing Identities

  • Role-Based Access Control (RBAC)
  • Built-in roles
  • Self-Service Password Reset (SSPR)
  • Authentication methods for password reset

MODULE 2: Implementing Workloads and Security

This module teaches IT professionals how to discover, assess, plan and implement a migration of on-premises resources and infrastructure to Azure. Students will 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 module focuses primarily on using ASR on a Hyper-V infrastructure to prepare and complete the migration process.

Also, you will 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.

See how to manage and maintain the infrastructure for the core web apps and services that developers build and deploy. Students will learn how Azure App Service is used as a Platform as a Service (PaaS) offering for deploying cloud apps for web and mobile environments.

Lastly, you will 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.

1. Evaluating and Performing Server Migration to Azure

2. Implementing and Managing Application Services

  • Deploying Web Apps
  • Managing Web Apps
  • App Service Security
  • Serverless Computing Concepts
  • Managing Event Grid
  • Managing Service Bus
  • Managing Logic App

3. Implementing Advanced Virtual Networking

  • Azure Load Balancer
  • Azure Application Gateway
  • Site-to-Site VPN Connections
  • Overview of ExpressRoute

4. Securing Identities

  • Azure AD Identity Protection
  • Azure Domains and Tenants
  • Azure Users and Groups
  • Azure Roles
  • Overview of Azure AD integration options

MODULE 3: Understanding Cloud Architect Technology Solutions

This module teaches IT professionals how 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.

Also, 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.

Also, 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.

Lastly, a discussion of hybrid networking that provides an overview of site-to-site connectivity, point-to-site connectivity, and the combination of the two.

1. Selecting Compute and Storage Solutions

  • Azure Architecture Center
  • Cloud design patterns
  • Competing consumers pattern
  • Cache-aside pattern
  • Sharding patterns

2. Hybrid Networking

  • Site-to-site connectivity
  • Point-to-site connectivity
  • Combining site-to-site and point-to-site connectivity
  • Virtual network–to–virtual network connectivity
  • Connecting across cloud providers

3. Measuring Throughput and Structure of Data Access

  • DTUs – Azure SQL Database
  • RUs – Azure Cosmos DB
  • Structured and unstructured data
  • Using structured data stores

MODULE 4: Creating and Deploying Apps

This module teaches IT Professionals how 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.

You will also see 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.

Lastly, you’ll 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.

1. Creating Web Applications using PaaS

  • Overview of Azure App Service Web Apps
  • REST APIs
  • Mobile back end
  • Using shell commands to create an App Service Web App
  • Creating Background Tasks
  • Using Swagger to document an API

2. Creating Apps and Services Running on Service Fabric

  • Overview of Azure Service Fabric
  • Challenges in developing and managing cloud native applications
  • Creating a reliable service
  • Creating a Reliable Actors app
  • Working with Reliable collections

3. Using Azure Kubernetes Service

  • Deploying and managing a Kubernetes cluster
  • Health monitoring and maintenance
  • Azure Container Registry
  • Azure Container Instances

MODULE 5: Developing for the Cloud

Learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

1. Developing Long-Running Tasks and Distributed Transactions

  • Implementing large-scale, parallel, and high-performance apps using batches
  • HPC using Microsoft Azure Virtual Machines
  • Implementing resilient apps by using queues
  • Implementing code to address application events by using webhooks

2. Configuring a Message-Based Integration Architecture

  • 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

3. Developing for Autoscaling

  • 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

4. Developing for Asynchronous Processing

  • Implementing autoscaling rules and patterns
  • Implementing code that addresses singleton application instances
  • Implementing code that addresses a transient state

5. Developing Azure Cognitive Services Solutions

  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker