A startup is building a cloud-native application that processes image uploads. The processing is triggered by new files in object storage, runs for a few seconds, and has unpredictable traffic spikes. The team wants to minimize operational overhead and pay only for compute time used. Which compute model is most appropriate?

A Kubernetes cluster with a continuously running worker pod

A dedicated VM running a batch processing script

A container instance that is manually started and stopped for each upload

A serverless function triggered by the storage event

What is a primary benefit of using a microservices architecture?

It eliminates the need for network communication between application components.

It reduces the total number of services that need to be deployed.

It guarantees that a failure in one service will never affect any other service.

It allows each service to be scaled independently based on demand.

A development team is adopting a microservices architecture and wants to release updates to individual services frequently without affecting other services. They also want to automate the build, test, and deployment process to reduce manual errors. Which practice should they implement?

Manual deployment scripts executed by the operations team

A single CI/CD pipeline that deploys all microservices together as one release

A CI/CD pipeline that builds, tests, and deploys each microservice independently

A nightly batch job that rebuilds and redeploys the entire application

Juniper NetworksCertified Associate, Cloud

Domain 1Objective 3

Cloud-Native Architectures JN0-214 Practice Questions (Page 1)

Part of the Cloud Fundamentals domain, which makes up ~11% of our current practice bank. Juniper Networks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~4–7 in this domain), expect 1–2 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

8concepts

Questions 1–5

1foundation · easy
Which component of a service mesh is responsible for intercepting and handling network traffic between microservices?
Select an answer first
2application · medium
A startup is building a cloud-native application that processes image uploads. The processing is triggered by new files in object storage, runs for a few seconds, and has unpredictable traffic spikes. The team wants to minimize operational overhead and pay only for compute time used. Which compute model is most appropriate?
Select an answer first
3foundation · easy
Which twelve-factor principle states that an application should store configuration that varies between environments (e.g., staging, production) in the environment?
Select an answer first
4foundation · easy
What is a primary benefit of using a microservices architecture?
Select an answer first
5application · medium
A development team is adopting a microservices architecture and wants to release updates to individual services frequently without affecting other services. They also want to automate the build, test, and deployment process to reduce manual errors. Which practice should they implement?
Select an answer first

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Cloud-Native Architectures JN0-214 Practice Questions (Page 1)

Questions 1–5

Which component of a service mesh is responsible for intercepting and handling network traffic between microservices?

Which twelve-factor principle states that an application should store configuration that varies between environments (e.g., staging, production) in the environment?

What is a primary benefit of using a microservices architecture?

A development team is adopting a microservices architecture and wants to release updates to individual services frequently without affecting other services. They also want to automate the build, test, and deployment process to reduce manual errors. Which practice should they implement?

Keep studying — Cloud Fundamentals