KCNA · Question #130
KCNA Question #130: Real Exam Question with Answer & Explanation
The correct answer is D: Argo Workflows. Argo Workflows is a Kubernetes-native workflow engine specifically designed to orchestrate parallel and sequential jobs as directed acyclic graphs (DAGs) or step-based pipelines, making it the right tool for job orchestration on Kubernetes. Why the distractors are wrong: Jenkins
Question
Which GitOps engine can be used to orchestrate parallel jobs on Kubernetes?
Options
- AJenkins X
- BFlagger
- CFlux
- DArgo Workflows
Explanation
Argo Workflows is a Kubernetes-native workflow engine specifically designed to orchestrate parallel and sequential jobs as directed acyclic graphs (DAGs) or step-based pipelines, making it the right tool for job orchestration on Kubernetes.
Why the distractors are wrong:
- Jenkins X (A) is a CI/CD platform for Kubernetes, not a workflow orchestration engine - it automates pipelines but doesn't natively model parallel job graphs.
- Flagger (B) is a progressive delivery tool focused on canary deployments and A/B testing, not job orchestration.
- Flux (C) is a GitOps continuous delivery tool that syncs cluster state from Git repositories; it manages deployments, not parallel job execution.
Memory tip: Think of "Argo" as the ship from Greek mythology carrying a crew working in parallel toward a goal - Argo Workflows carries parallel Kubernetes jobs to completion. The entire Argo ecosystem (Argo CD, Argo Events, Argo Rollouts, Argo Workflows) is Kubernetes-native, and Workflows is the one in the name that handles work orchestration.
Topics
Community Discussion
No community discussion yet for this question.