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| Section | Objectives |
|---|---|
| Topic 1: Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Topic 2: Cloud Native Observability | - Monitoring and logging
|
| Topic 3: Cloud Native Architecture | - Microservices and distributed systems
|
| Topic 4: Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Topic 5: Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Topic 6: Container Orchestration | - Container lifecycle and scheduling
|
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NEW QUESTION # 36
The cloud native architecture centered around microservices provides a strong system that ensures ______________.
Answer: A
Explanation:
The best answer is B (resiliency). A microservices-centered cloud-native architecture is designed to build systems that continue to operate effectively under change and failure. "Resiliency" is the umbrella concept: the ability to tolerate faults, recover from disruptions, and maintain acceptable service levels through redundancy, isolation, and automated recovery.
Microservices help resiliency by reducing blast radius. Instead of one monolith where a single defect can take down the entire application, microservices separate concerns into independently deployable components. Combined with Kubernetes, you get resiliency mechanisms such as replication (multiple Pod replicas), self-healing (restart and reschedule on failure), rolling updates, health probes, and service discovery/load balancing. These enable the platform to detect and replace failing instances automatically, and to keep traffic flowing to healthy backends.
Options C (failover) and A (fallback) are resiliency techniques but are narrower terms. Failover usually refers to switching to a standby component when a primary fails; fallback often refers to degraded behavior (cached responses, reduced features). Both can exist in microservice systems, but the broader architectural guarantee microservices aim to support is resiliency overall. Option D ("high reachability") is not the standard term used in cloud-native design and doesn't capture the intent as precisely as resiliency.
In practice, achieving resiliency also requires good observability and disciplined delivery: monitoring/alerts, tracing across service boundaries, circuit breakers/timeouts/retries, and progressive delivery patterns. Kubernetes provides platform primitives, but resilient microservices also need careful API design and failure-mode thinking.
So the intended and verified completion is resiliency, option B.
NEW QUESTION # 37
Which of the following is NOT a Kubernetes component?
Answer: B
NEW QUESTION # 38
What CNCF project is the leading DNS project in the CNCF landscape?
Answer: D
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 39
Which of the following options include resources cleaned by the Kubernetes garbage collection mechanism?
Answer: D
Explanation:
Kubernetes garbage collection (GC) is about cleaning up API objects and related resources that are no longer needed, so the correct answer is D. Two big categories it targets are (1) objects that have finished their lifecycle (like terminated Pods and completed Jobs, depending on controllers and TTL policies), and (2)
"dangling" objects that are no longer referenced properly-often described as objects without owner references (or where owners are gone), which can happen when a higher-level controller is deleted or when dependent resources are left behind.
A key Kubernetes concept here is OwnerReferences: many resources are created "owned" by a controller (e.
g., a ReplicaSet owned by a Deployment, Pods owned by a ReplicaSet). When an owning object is deleted, Kubernetes' garbage collector can remove dependent objects based on deletion propagation policies (foreground/background/orphan). This prevents resource leaks and keeps the cluster tidy and performant.
The other options are incorrect because they refer to cleanup tasks outside Kubernetes GC's scope. Kubelet logs (B/C) are node-level files and log rotation is handled by node/runtime configuration, not the Kubernetes garbage collector. Unused container images (C) are managed by the container runtime's image GC and kubelet disk pressure management, not the Kubernetes API GC. Nodes deleted by a cloud controller (B) aren' t "garbage collected" in the same sense; node lifecycle is handled by controllers and cloud integrations, but not as a generic GC cleanup category like ownerRef-based object deletion.
So, when the question asks specifically about "resources cleaned by Kubernetes garbage collection," it's pointing to Kubernetes object lifecycle cleanup: terminated Pods, completed Jobs, and orphaned objects- exactly what option D states.
=========
NEW QUESTION # 40
Which of the following statements is correct concerning Open Policy Agent (OPA)?
Answer: D
NEW QUESTION # 41
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