Kubernetes and Cloud Native Associate (KCNA) Practice Exams

About This Course Kubernetes certification KCNA exam

Prepare confidently for the Kubernetes certification KCNA examwith this targeted and easy-to-follow practice exams course. Carefully designed to mirror the real exam’s structure and rigor, these 180 single-choice questions will help solidify your understanding of core Kubernetes fundamentals and essential cloud-native principles through repeated, realistic practice. Test your current knowledge, clearly identify any remaining gaps, and thoughtfully refine your overall exam strategy to ensure you’re fully prepared and confident when test day arrives.

What You’ll Get with Kubernetes certification KCNA exam

• 180 single-choice practice questions mapped to the official KCNA exam blueprint
• Realistic simulations of exam conditions, including question formats, time constraints, and scoring benchmarks
• Detailed explanations for every answer—learn why an option is correct, not just that it’s correct
• Comprehensive coverage of core domains: cluster architecture, workloads, networking, storage, and cloud-native ecosystem tools
• Focus on practical, real-world Kubernetes operations and troubleshooting scenarios
• Lifetime access with free updates to reflect changes in exam content or Kubernetes versions
• Streamlined, distraction-free design to keep you focused on mastering exam content

Example Question
Question:
What happens in Kubernetes when a CronJob is executed at its scheduled time?

Options:
a. The CronJob directly executes the task within the same CronJob pod.
b. The CronJob triggers a specific Kubernetes service to execute the task.
c. The CronJob creates a Job, which then spawns a Pod to carry out the task.
d. The CronJob directly creates a new Pod dedicated to executing the task.

Correct Answer: C

Explanation:
CronJobs in Kubernetes are designed to schedule recurring tasks. At the specified time, the CronJob controller creates a Job object, which in turn launches a Pod to execute the task. This ensures each run is tracked independently, allowing for retries, logs, and status monitoring per execution. Direct Pod creation (option D) bypasses the Job layer, which is critical for managing task lifecycle and history.