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Microsoft Azure Interview Questions and Answers

Ques 26. What is Azure API Management, and how does it simplify API development and management?

Azure API Management is a fully managed API gateway that enables organizations to create, publish, and manage APIs. It provides features such as authentication, authorization, rate limiting, and analytics.

Example:

Publish an API using Azure API Management: Import an OpenAPI Specification or define the API schema, configure policies, and deploy.

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Ques 27. Explain Azure Front Door and its benefits for global applications.

Azure Front Door is a global, scalable entry point for web applications that provides secure and fast delivery of content. It offers features like load balancing, SSL termination, and global routing based on health and latency.

Example:

Configure Azure Front Door to distribute traffic across multiple backend pools in different regions to optimize performance.

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Ques 28. What is Azure Policy Guest Configuration, and how does it enhance compliance management?

Azure Policy Guest Configuration helps enforce desired configuration states on virtual machines. It allows organizations to assess and remediate configuration drift across their Azure infrastructure.

Example:

Create an Azure Policy Guest Configuration policy to ensure specific security configurations are applied to virtual machines.

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Ques 29. Explain the purpose of Azure Sphere and its role in securing IoT devices.

Azure Sphere is a comprehensive IoT security solution that includes a secure hardware chip, a custom Linux-based operating system, and a cloud-based security service. It provides end-to-end security for IoT devices.

Example:

Integrate Azure Sphere into an IoT project to ensure secure communication and device authentication.

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Ques 30. What is Azure Confidential Computing, and how does it enhance data security?

Azure Confidential Computing provides a secure enclave for protecting sensitive data during processing. It uses hardware-based security features to ensure that data remains confidential, even from administrators and the underlying infrastructure.

Example:

Develop an application that performs secure computations using Azure Confidential Computing and Azure Kubernetes Service.

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