This KCNA practice question tests your understanding of cloud native architecture. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE of the following are resiliency patterns commonly used in cloud native applications? (Choose three.)
Retry
Retrying failed operations can handle transient failures.
Timeout
Setting timeouts prevents waiting indefinitely.
Singleton pattern
Why wrong: Singleton limits instances but is not a resiliency pattern.
Circuit breaker
Circuit breaker stops cascading failures.
Round-robin load balancing
Why wrong: Load balancing is a distribution pattern, not specifically resiliency.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Retry
The Retry pattern is a fundamental resiliency mechanism in cloud-native applications. When a transient failure occurs (e.g., a network timeout or a temporary database unavailability), the application automatically reattempts the failed operation. This pattern is often implemented with exponential backoff and jitter to avoid overwhelming the downstream service, as seen in libraries like Netflix Hystrix or Kubernetes client-go retry logic.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Retry
Why this is correct
Retrying failed operations can handle transient failures.
Related concept
Read the scenario before looking for a memorised answer.
Timeout
Why this is correct
Setting timeouts prevents waiting indefinitely.
Related concept
Read the scenario before looking for a memorised answer.
Singleton pattern
Why it's wrong here
Singleton limits instances but is not a resiliency pattern.
Circuit breaker
Why this is correct
Circuit breaker stops cascading failures.
Related concept
Read the scenario before looking for a memorised answer.
Round-robin load balancing
Why it's wrong here
Load balancing is a distribution pattern, not specifically resiliency.
Common exam traps
CNCF often tests the distinction between design patterns (like Singleton) and cloud-native resiliency patterns (like Retry, Timeout, Circuit Breaker), so candidates mistakenly select Singleton because it is a well-known pattern, but it does not address fault tolerance or failure recovery.
Detailed technical explanation
Under the hood, the Retry pattern in cloud-native systems often uses exponential backoff (e.g., starting with 100ms delay, doubling each retry up to a max of 30 seconds) combined with random jitter to prevent thundering herd problems. In Kubernetes, the client-go library implements retry with a default of 5 attempts and a base delay of 1 second. A real-world scenario: when a pod tries to reach the API server during a network partition, retries with backoff prevent the control plane from being flooded with requests once connectivity is restored.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
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FAQ
Cloud Native Architecture — This question tests Cloud Native Architecture — Read the scenario before looking for a memorised answer..
The correct answer is: Retry — The Retry pattern is a fundamental resiliency mechanism in cloud-native applications. When a transient failure occurs (e.g., a network timeout or a temporary database unavailability), the application automatically reattempts the failed operation. This pattern is often implemented with exponential backoff and jitter to avoid overwhelming the downstream service, as seen in libraries like Netflix Hystrix or Kubernetes client-go retry logic.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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