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CAPA: Certified Argo Project Associate Practice Exams
Pass the CAPA certification with Timed Practice Tests, Exam-Simulation Environment and Instant Detailed Review
This course provides practice exams for the Certified Argo Project Associate (CAPA) certification. It is focused on exam preparation and assessment.
The course includes multiple practice tests delivered through Udemy’s practice test system. Questions are multiple‑choice and structured to reflect the format and difficulty level of the CAPA exam. Each question includes a clear explanation for correct and incorrect answers. Learners can review results, retake tests, and track performance to identify gaps and improve readiness.
Practice Test Features:
Practice mode: untimed, answers can be reviewed during the test, suitable for learning and revision
Exam mode: timed, answers are revealed only after submission, simulates real exam conditions
Detailed explanations for every question
Score reports and performance breakdown by topic
Unlimited retakes
The practice exams cover all CAPA knowledge domains, including:
Argo Workflows:
Understanding Argo Workflow fundamentals, workflow templates, generating and consuming artifacts, DAGs (Directed‑Acyclic Graphs), and running data‑processing jobs using Argo Workflows.
Argo CD:
Fundamentals of Argo CD including application synchronization, GitOps‑based deployment strategies, configuring Argo CD with Helm and Kustomize, and identifying common reconciliation patterns.
Argo Rollouts:
Core concepts of Argo Rollouts for progressive delivery strategies such as canary and blue‑green deployments, and comprehension of analysis templates and runs.
Argo Events:
Basics of Argo Events including understanding event components, architecture, sensors, and triggers for event‑driven automation.
This course is intended for developers, DevOps engineers, SREs, and platform teams preparing for the CAPA exam. The goal is to help learners understand exam topics, question structure, and time management.
Disclaimer: This course is an independent resource and is not affiliated with, endorsed by, or sponsored by the Linux Foundation, the Cloud Native Computing Foundation (CNCF), or the Argo Project.

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