Certified Argo Project Associate (CAPA) Practise Exam

Who it is for

• Engineers, DevOps practitioners, and data scientists preparing for the Linux Foundation Certified Argo Project Associate (CAPA).
• Practitioners who need practice choosing and explaining Argo Workflows, Argo CD, Argo Rollouts, and Argo Events at an associate level.

What this exam covers

• Argo Workflows — 36%
• ARGO CD — 34%
• Argo Rollouts — 18%
• Argo Events — 12%

What you will practice

• Describe Argo Workflows: DAG and step workflows, templates, artifacts, and when a workflow engine is the right Argo tool.
• Describe Argo CD: Git as the desired state for Kubernetes apps, Application resources, sync, and drift at an associate level.
• Describe Argo Rollouts: blue/green and canary progressions and how rollouts differ from a plain Kubernetes Deployment.
• Describe Argo Events: EventSources, Sensors, and triggering workflows or other targets from external events.

About this practice exam

The Linux Foundation Certified Argo Project Associate (CAPA) exam tests foundational knowledge of the Argo Project ecosystem: when and why to use Argo Workflows, Argo CD, Argo Rollouts, and Argo Events. This practice exam prepares you for Certified Argo Project Associate (CAPA) across Argo Workflows, ARGO CD, Argo Rollouts, and Argo Events.

The exam emphasizes the purpose and fundamentals of each Argo tool, typical integration points with Kubernetes and CI/CD, and choosing the right project for a job (workflow automation versus GitOps delivery versus progressive delivery versus event-driven triggers). It does not primarily assess CGOA-style OpenGitOps theory as the main objective, CKA-level cluster administration, or deep production operations of a single Argo component as a specialist exam.

The official Linux Foundation Certified Argo Project Associate (CAPA) exam is 60 questions in 90 minutes, with a passing score of 75%. This practice exam follows the four official CAPA domains and their published weights.

The certification validates understanding of:

• Argo Workflows: workflow and template kinds, DAGs and steps, artifacts, and using Workflows for CI or data-style automation on Kubernetes.
• ARGO CD: Applications, Git as source of truth, sync and prune behavior, and GitOps-style delivery of Kubernetes manifests.
• Argo Rollouts: canary and blue/green strategies, analysis, and how Rollouts sit beside Deployments and ingress or service mesh traffic shifting.
• Argo Events: EventSources and Sensors, triggers, and connecting external events to Workflows or other Argo targets.