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GCP Cloud Digital Leader Practice Question

A retail company plans to rebuild its legacy monolithic application as containerized microservices on Google Cloud. From a modern cloud application development perspective, which primary advantage do containers offer developers over deploying the same code as separate virtual machines?

They encapsulate the application and all its dependencies, ensuring it runs consistently across development, test, and production environments.
They guarantee zero downtime for updates without any additional orchestration tooling or configuration.
They automatically encrypt all network traffic for the application without further setup.
They remove the need to apply security patches to the underlying operating system.

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Answer Description

Containers bundle an application with its runtime environment-libraries, binaries, and configuration-into a single, lightweight image. Because this image runs the same way on a developer laptop, a CI/CD system, or in production, teams avoid the "works on my machine" problem and spend less time diagnosing environment-related issues. While containers can help achieve rapid, low-downtime updates when paired with orchestration tools, they do not guarantee zero downtime by themselves, nor do they automatically encrypt all traffic. Host operating systems that run container engines still require security patching and maintenance.

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Why are containers preferred over virtual machines for modern application development?

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What is the 'works on my machine' problem, and how do containers solve it?

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Do containers inherently provide security, such as automatic encryption or eliminating OS patching?

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What is the 'works on my machine' problem and how do containers solve it?

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How do orchestration tools like Kubernetes enhance containerized applications?

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What security considerations exist for containers and their underlying host systems?

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