Discuss the integration capabilities between Azure Logic Apps and Azure API Management.

  • Azure API Gateway
  • Azure Logic Connect
  • Azure Service Bus
  • Custom Connectors
Azure Logic Apps can integrate with Azure API Management using custom connectors, enabling seamless communication and coordination between the two services.

The integration of _______ with Azure Active Directory enhances identity protection and security.

  • Azure AD B2C
  • Azure AD Identity Protection
  • Azure Active Directory Domain Services
  • Azure Multi-Factor Authentication (MFA)
Integrating Azure AD Identity Protection enhances security by leveraging risk-based conditional access policies and automated responses for identity protection.

How does Azure Policy integration with Azure Resource Manager (ARM) benefit resource management?

  • Accelerates data processing
  • Enforces compliance
  • Enhances network performance
  • Streamlines billing
Azure Policy integrated with ARM enforces compliance by defining and applying policies to resources, ensuring adherence to organizational standards.

Implementing _______ on Azure Storage accounts helps to secure data at rest.

  • Authentication
  • Authorization
  • Compression
  • Encryption
Implementing Encryption on Azure Storage accounts ensures that data is secured at rest, protecting it from unauthorized access.

_______ is a key factor when designing network security architecture using NSGs and ASGs in Azure.

  • Latency
  • Redundancy
  • Segmentation
  • Throughput
Segmentation is crucial when designing network security architecture using Network Security Groups (NSGs) and Application Security Groups (ASGs) in Azure, ensuring a secure and controlled environment.

The _______ feature in AKS helps in load balancing traffic among pods.

  • Azure Load Balancer
  • Ingress Controller
  • Network Security Group
  • Virtual Network Peering
The Ingress Controller feature in AKS facilitates load balancing of traffic among pods, providing efficient routing and distribution.

Describe the role of Azure Machine Learning pipelines in managing the lifecycle of a machine learning project.

  • Code versioning
  • Data preparation
  • End-to-end orchestration
  • Model deployment
Azure Machine Learning pipelines facilitate end-to-end orchestration of a machine learning project, including data preparation, training, and deployment.

What is the role of Azure Blueprints in the governance of Azure resources?

  • Application development
  • Backup and recovery
  • Resource scaling
  • Standardized resource deployment
Azure Blueprints play a crucial role in governance by providing a way to orchestrate and deploy standardized sets of resources, ensuring compliance and best practices.

What is the role of automated testing in Azure CI/CD pipelines?

  • Deploy applications
  • Ensure code quality
  • Generate documentation
  • Monitor production
Automated testing in CI/CD pipelines ensures code quality by executing tests automatically, identifying issues early in the development process.

In Azure Data Factory, what is the purpose of integration runtime?

  • Data governance implementation
  • Data movement across on-premises and cloud
  • Data security enforcement
  • Data transformation within the cloud
Integration runtime in Azure Data Factory is responsible for facilitating data movement across on-premises and cloud environments, ensuring seamless data flow and accessibility.