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Cloud Computing Interview Questions

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Q1
What is cloud computing and what are its benefits?

Cloud computing delivers computing services — servers, storage, databases, networking, software, analytics, and intelligence — over the internet ('the cloud').

Benefits include cost savings, scalability, elasticity, high availability, and global reach.

Users pay only for what they use, and can scale up or down based on demand.

Cloud computing enables innovation, faster time to market, and reduced operational burden.

Q2
What are the different cloud deployment models?

Cloud deployment models define how cloud services are hosted and accessed.

Common models include Public Cloud (shared infrastructure like AWS), Private Cloud (dedicated environment), Hybrid Cloud (combination of public and private), and Community Cloud (shared among organizations with common goals).

Public clouds offer cost-effectiveness and scalability, while private clouds provide enhanced security and control.

Hybrid clouds combine the best of both worlds for flexible and secure architectures.

Q3
What are the different service models in cloud computing?

Cloud service models define the abstraction level offered to users.

Three main models are:

  • IaaS (Infrastructure as a Service): Provides virtual machines, storage, and networks.
  • PaaS (Platform as a Service): Offers runtime environments, databases, and development tools.
  • SaaS (Software as a Service): Delivers ready-to-use applications over the internet.

IaaS gives full control, PaaS accelerates development, and SaaS provides end-user applications like email and CRM.

Q4
What is serverless computing?
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Serverless computing allows developers to build and run applications without managing servers or infrastructure.

Developers write functions triggered by events and are billed only for the compute time they consume.

Services like AWS Lambda, Azure Functions, and Google Cloud Functions provide serverless execution environments.

Serverless is ideal for event-driven, short-lived, and scalable workloads like APIs, data processing, and event processing.

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