Con il corso Azure Architect Design, l’utente tecnico saprà progettare l’identità, la sicurezza e una soluzione per la piattaforma dati; saprà progettare per la distribuzione, la migrazione e l’integrazione, imparerà, inoltre, a progettare una strategia per l’infrastruttura.
Cos’è Azure Architect Design
Microsoft Azure è la piattaforma pubblica di Microsoft, offre servizi di cloud computing. Azure eroga servizi appartenenti a diverse categorie tra cui risorse di elaborazione, archiviazione e memorizzazione dati, trasmissione dati e interconnessione di reti, analisi, intelligence, apprendimento automatico sicurezza e gestione delle identità, monitoraggio e gestione, nonché servizi per lo sviluppo di applicazioni.
Il pacchetto Azure Architect Design comprende 4 corsi, che preparano all’esame AZ-301, Microsoft Azure Architect Design, il cui superamento, unito all’esame AZ-300, è necessario per ottenere la certificazione Microsoft Azure Solutions Architect.
Corsi per la preparazione dell’esame AZ-301:
- AZ-301T01 Azure AZ-301: Designing for Identity and Security
- AZ-301T02 Azure AZ-301: Designing a Data Platform Solution
- AZ-301T03 Azure AZ-301: Designing for Deployment, Migration, and Integration
- AZ-301T04 Azure AZ-301: Designing an Infrastructure Strategy
Obiettivi del corso AZ-301
Al termine del corso gli utenti saranno in grado di:
- Integrare le soluzioni esistenti con i provider di identità esterni utilizzando Azure AD B2B o B2C
- Progettare una soluzione di identità ibrida
- Determinare quando usare le funzionalità avanzate di Azure AD come Managed Service Identity, AMF e Privileged Identity Management
- Proteggere i dati segreti delle applicazioni utilizzando Key Vault
- Conoscere i dettagli delle varie API disponibili nei Cognitive Services
- Individuare quando poter usare il Face API, lo Speech API or il Language Understanding (LUIS) service
- Proteggere i dati dell’applicazione usando funzionalità database SQL e Azure Storage
- Descrivere la relazione con i servizi bot Framework e Azure bot
- Determinare l’opzione di pricing ideale per Azure Storage in base ai requisiti di una soluzione
- Trovare le soglie di prestazioni per il servizio Storage Azure
- Determinare il tipo di BLOB di archiviazione da utilizzare per componenti di soluzioni specifiche
- Usare il servizio file Azure per le operazioni SMB
- Individuare soluzioni che possano beneficiare dell’utilizzo di dispositivi fisici o virtuali StorSimple
- Contrapporre e confrontare i servizi di monitoraggio per le applicazioni, la piattaforma Azure e la rete
- Creare un gruppo di risorse
- Aggiungere risorse ad un gruppo di risorse.
- Progettare uno schema di avviso per una soluzione ospitata in Azure
- Selezionare l’opzione di backup appropriata per l’infrastruttura e i dati ospitati in Azure
- Rendere automatica la distribuzione di risorse future per il recupero di backup o per scopi di ridimensionamento
- Distribuire un modello ARM in un gruppo di risorse e integrare un’applicazione API o logica con il servizio di gestione API
- Progettare un piano di servizio di app o un multi-region deployment per alte prestazioni e scala
- Integrare un’applicazione API o logica con il servizio di gestione API
- Progettare un piano di servizio di app o una distribuzione multi-region per un’elevata performance e scala
- Descrivere i vari pattern estratti dai modelli di cloud design
- Distribuire il traffico di rete su più carichi tramite il bilanciamento del carico
- Progettare uno scenario di connettività ibrida tra cloud e on-premise
- Progettare un set di disponibilità per una o più macchine virtuali
- Descrivere le differenze tra i domini fault e Update
- Creare un VM Scale Set ARM template
Prerequisiti per il corso AZ-301
Il corso è rivolto a:
- Professionisti IT
- Sistemisti
- DevOps
Durata del corso Azure Architect Design
Il corso AZ-301 ha durata di 4 giorni, erogabili Online tramite e-learning oppure On-site presso la sede del cliente.
Programma del corso Azure Architect Design
Scarica il programma del corso AZ-301
AZ-301T01
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.
AZ-301T02
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).
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 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.
Lab: Deploying Configuration Managemnet 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
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.
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 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.
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 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.
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
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.
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 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.
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 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.
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.
Corso personalizzato in azienda?
Con il corso Azure Architect Design verrà fornito agli utenti materiale in PDF, relativo a tutti i moduli del corso Azure Architect Design, e verranno messi a disposizione e-book di ulteriore approfondimento sui temi più importanti, per mantenere attiva la propria conoscenza ed espanderla a 360 gradi.
Il corso Azure Architect Design, proposto da Nexsys l’azienda informatica di Verona, verrà svolto e gestito da esperti in ambito informatico, Trainer ufficiali Microsoft e Consulenti IT PRO. Nexsys organizza, inoltre, corsi Microsoft a Verona e in tutta Italia, contattaci per avere maggiori informazioni e per attivare la tua formazione tecnica.
Richiedi subito un parere esperti. Hai domande a cui nessuno ha saputo rispondere, dubbi irrisolti o sei semplicemente curioso di saperne di più? Contattaci subito compilando il form.
