Designing for Identity and Security (AZ-301T01-A)

Learn 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.

• 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.

Module 1: Managing Security & Identity for Azure Solutions

• Description
  • 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

• Description
  • 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

Une attestation de participation sera transmise aux participants