KCNA Cloud Native Application Delivery Practice Question
Which TWO of the following are benefits of using Helm for application delivery?
⚠ Common exam trap
CNCF often tests the distinction between Helm's release management features and Kubernetes-native or third-party operational features, so candidates mistakenly attribute capabilities like autoscaling or canary deployments to Helm because they see Helm used in CI/CD pipelines alongside those tools.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Ability to roll back to previous releases
Helm manages Kubernetes application releases as packaged charts. The `helm rollback` command allows you to revert to a previous revision of a release, which is a core benefit for safe application delivery and disaster recovery. This capability is built into Helm's release management system, which tracks each deployment as a revision with a unique version number.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Automatic scaling based on CPU usage
Why it's wrong here
Scaling is handled by HorizontalPodAutoscaler, not Helm.
- ✓
Ability to roll back to previous releases
Why this is correct
Helm tracks releases and supports rollback with helm rollback.
- ✗
Automatic canary deployments
Why it's wrong here
Helm does not include canary logic; it requires additional tools like Flagger.
- ✓
Simplified packaging and templating of Kubernetes resources
Why this is correct
Helm charts use Go templates to parameterize manifests.
- ✗
Built-in monitoring and alerting
Why it's wrong here
Helm does not provide monitoring; it's a package manager.
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Same concept, more angles
2 more ways this is tested on KCNA
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. What is the primary advantage of using Helm to package a Kubernetes application?
easy- A.It automatically scales applications based on load
- B.It enforces security policies on deployments
- ✓ C.It provides a templating engine to parameterize Kubernetes manifests
- D.It manages network policies between services
Why C: Helm packages Kubernetes manifests into a single chart, allowing easy installation, upgrades, and rollbacks with parameterization via values.yaml.
Variation 2. A DevOps engineer notices that after a Helm upgrade, the new pods are crash looping with 'ImagePullBackOff'. What is the most likely cause?
medium- A.The pod's liveness probe is misconfigured
- ✓ B.The Helm chart has a wrong image tag
- C.The service account lacks permissions
- D.The deployment's resource requests exceed node capacity
Why B: The 'ImagePullBackOff' error indicates that Kubernetes is unable to pull the container image from the registry. The most common cause during a Helm upgrade is a misconfigured or incorrect image tag in the Helm chart's values or templates, which causes the kubelet to fail when attempting to pull the specified image. This is distinct from runtime issues like probe failures or resource constraints, which would manifest as different error states.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This KCNA practice question is part of Courseiva's free CNCF certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the KCNA exam.