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Linux Foundation KCNA Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Cloud Native Architecture | - Microservices and distributed systems
|
| Topic 2: Cloud Native Observability | - Monitoring and logging
|
| Topic 3: Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Topic 4: Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Topic 5: Container Orchestration | - Container lifecycle and scheduling
|
| Topic 6: Kubernetes Fundamentals | - Core Kubernetes concepts
|
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q155-Q160):
NEW QUESTION # 155
Which statement describes the
dependency relationship between Liveness, Readiness, and Startup probes?
- A. Startup probes run first, followed by Readiness probes. Liveness probes only execute if both Startup and Readiness probes succeed.
- B. Startup probes replace Readiness probes during container initialization and run continuously after startup.
- C. Readiness and Liveness probes wait for Startup probes to complete before they begin, then run independently of each other.
- D. Readiness probes run first, followed by Liveness probes. Startup probes run only if Readiness or Liveness probes fail.
Answer: C
Explanation:
When a Startup probe is configured, Kubernetes delays both
Liveness and Readiness probes until the Startup probe succeeds. After startup
completes, the Liveness and Readiness probes operate independently according to
their own schedules.
NEW QUESTION # 156
What does "continuous" mean in the
context of CI/CD?
- A. Frequent releases, manual processes, repeatable, fast processing
- B. Periodic releases, automated processes, repeatable, automated processing
- C. Periodic releases, manual processes, repeatable, automated processing
- D. Frequent releases, automated processes, repeatable, fast processing
Answer: D
Explanation:
The correct answer is C: in CI/CD, "continuous" implies
frequent releases, automation, repeatability, and fast feedback/processing. The
intent is to reduce batch size and latency between code change and
validation
/deployment. Instead of integrating or releasing in large, risky
chunks, teams integrate changes continually and rely on automation to validate
and deliver them safely.
"Continuous" does not mean "periodic" (which
eliminates B and D). It also does not mean "manual processes" (which eliminates
A and B). Automation is core: build, test, security checks, and deployment steps
are consistently executed by pipeline systems, producing reliable outcomes and
auditability.
In practice, CI means every merge triggers automated builds and
tests so the main branch stays in a healthy state. CD means those validated
artifacts are promoted through environments with minimal manual steps, often
including progressive delivery controls (canary, blue/green), automated
rollbacks on health signal failures, and policy checks. Kubernetes works well
with CI/CD because it is declarative and supports rollout primitives:
Deployments, readiness probes, and rollback revision history enable safer
continuous delivery when paired with pipeline automation.
Repeatability is a
major part of "continuous." The same pipeline should run the same way every
time, producing consistent artifacts and deployments. This reduces "works on my
machine" issues and shortens incident resolution because changes are traceable
and reproducible. Fast processing and frequent releases also mean smaller diffs,
easier debugging, and quicker customer value delivery.
So, the combination
that accurately reflects "continuous" in CI/CD is frequent + automated +
repeatable + fast, which is option C.
=========
NEW QUESTION # 157
Which of the following Pod Security
Standards enforces the most restrictive settings, designed for security-critical
workloads?
- A. Restricted
- B. Privileged
- C. Unrestricted
- D. Baseline
Answer: A
Explanation:
The Restricted Pod Security Standard applies the strictest
security controls, enforcing strong limitations on privileges, capabilities, and
access to minimize the risk in security-critical workloads.
NEW QUESTION # 158
What is CRD?
- A. Custom Restricted Definition
- B. Custom RUST Definition
- C. Customized RUST Definition
- D. Custom Resource Definition
Answer: D
Explanation:
A CRD is a CustomResourceDefinition, making A correct.
Kubernetes is built around an API-driven model: resources like Pods, Services,
and Deployments are all objects served by the Kubernetes API. CRDs allow you to
extend the Kubernetes API by defining your own resource types. Once a CRD is
installed, the API server can store and serve custom objects (Custom Resources)
of that new type, and Kubernetes tooling (kubectl, RBAC, admission, watch
mechanisms) can interact with them just like built-in resources.
CRDs are a
core building block of the Kubernetes ecosystem because they enable operators
and platform extensions. A typical pattern is: define a CRD that represents the
desired state of some higher-level concept (for example, a database cluster, a
certificate request, an application release), and then run a controller (often
called an "operator") that watches those custom resources and reconciles the
cluster to match. That controller may create Deployments, StatefulSets,
Services, Secrets, or cloud resources to implement the desired state encoded in
the custom resource.
The incorrect answers are made-up expansions. CRDs are
not related to Rust in Kubernetes terminology, and "custom restricted
definition" is not the standard meaning.
So the verified meaning is: CRD =
CustomResourceDefinition, used to extend Kubernetes APIs and enable
Kubernetes-native automation via
controllers/operators.
________________________________________
NEW QUESTION # 159
Which cloud native tool(s) keeps
Kubernetes clusters in sync with sources of configuration (like Git
repositories), and automates updates to configuration when there is new code to
deploy?
- A. Tekton and Jenkins X
- B. Flux and Argo CD
- C. Linkerd and Istio
- D. Helm and Kustomize
Answer: B
Explanation:
Flux and Argo CD are GitOps tools that continuously monitor
configuration sources such as Git repositories and automatically reconcile the
Kubernetes cluster state to match them, ensuring deployments stay synchronized
and updated.
NEW QUESTION # 160
......
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