KCNA Cloud Native Application Delivery Practice Question
In the context of DORA metrics, which metric measures how often an organization successfully releases to production?
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
✓
Deployment frequency
Deployment frequency is a DORA metric that measures how often an organization deploys code to production or an operational environment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lead time for changes
Why it's wrong here
Lead time measures the time from code commit to production deployment, not the frequency.
- ✓
Deployment frequency
Why this is correct
Deployment frequency measures how often deployments occur.
- ✗
Mean time to restore (MTTR)
Why it's wrong here
Mean time to restore (MTTR) tracks the duration from detecting a failure to fully restoring service, not the frequency of successful releases. It is tempting because both MTTR and the correct metric (deployment frequency) appear in DORA’s four key measures, and practitioners often confuse recovery speed with release cadence. MTTR would be the correct choice if the question asked how quickly an organisation recovers from a production incident.
- ✗
Change failure rate
Why it's wrong here
Change failure rate measures the percentage of deployments causing failures.
Visual reference
Go deeper
Related to this question
About these practice questions
One of 833 original KCNA practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.