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| Section | Objectives |
|---|---|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Cloud Native Observability | - Monitoring and logging
|
| Container Orchestration | - Container lifecycle and scheduling
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
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NEW QUESTION # 117
What is an advantage of using the Gateway API compared to Ingress in Kubernetes?
Answer: C
Explanation:
The Gateway API is a newer Kubernetes networking API designed to address several limitations of the traditional Ingress resource. One of its most significant advantages is the clear separation of roles and responsibilities between infrastructure providers (such as platform teams or cluster administrators) and application developers. This design principle is a core motivation behind the Gateway API and directly differentiates it from Ingress.
With Ingress, a single resource often combines concerns such as load balancer configuration, TLS settings, routing rules, and application-level details. This frequently leads to heavy reliance on annotations, which are controller-specific, non-standardized, and blur ownership boundaries. Application developers may need elevated permissions to modify Ingress objects, even when changes affect shared infrastructure, creating operational risk.
The Gateway API introduces multiple distinct resources-such as GatewayClass, Gateway, and route resources (e.g., HTTPRoute)-each aligned with a specific role. Infrastructure providers manage GatewayClass and Gateway resources, which define how traffic enters the cluster and what capabilities are available. Application developers interact primarily with route resources to define how traffic is routed to their Services, without needing access to the underlying infrastructure configuration. This separation improves security, governance, and scalability in multi-team environments.
Option A is incorrect because automatic scaling based on CPU and memory is handled by the Horizontal Pod Autoscaler, not by Gateway API or Ingress. Option C describes a characteristic of Ingress, not an advantage of Gateway API; in fact, Gateway API explicitly reduces reliance on annotations by using structured, portable fields. Option D is incorrect because exposing applications externally requires more than just a Service; traffic management resources like Ingress or Gateway are still necessary.
Therefore, the correct and verified answer is Option B, as the Gateway API's role-oriented design is a key advancement over Ingress and is clearly documented in Kubernetes networking architecture guidance.
NEW QUESTION # 118
Kubernetes Secrets are specifically intended to hold confidential data. Which API object should be used to hold non-confidential data?
Answer: A
Explanation:
ConfigMaps are designed to store non-confidential configuration data such as application settings, environment variables, and configuration files, separating this data from container images and keeping sensitive data in Secrets.
NEW QUESTION # 119
What does the "nodeSelector" within a PodSpec use to place Pods on the target nodes?
Answer: A
Explanation:
nodeSelector is a simple scheduling constraint that matches node labels, so the correct answer is D (Labels). In Kubernetes, nodes have key/value labels (for example, disktype=ssd, topology.kubernetes.io/zone=us-east-1a, kubernetes.io/os=linux). When you set spec.nodeSelector in a Pod template, you provide a map of required label key/value pairs. The kube-scheduler will then only consider nodes that have all those labels with matching values as eligible placement targets for that Pod.
This is different from annotations: annotations are also key/value metadata, but they are not intended for selection logic and are not used by the scheduler for nodeSelector. IP addresses and hostnames are not the mechanism used by nodeSelector either. While Kubernetes nodes do have hostnames and IPs, nodeSelector specifically operates on labels because labels are designed for selection, grouping, and placement constraints.
Operationally, nodeSelector is the most basic form of node placement control. It is commonly used to pin workloads to specialized hardware (GPU nodes), compliance zones, or certain OS/architecture pools. However, it has limitations: it only supports exact match on labels and cannot express more complex rules (like "in this set of zones" or "prefer but don't require"). For that, Kubernetes offers node affinity (requiredDuringSchedulingIgnoredDuringExecution, preferredDuringSchedulingIgnoredDuringExecution) which supports richer expressions.
Still, the underlying mechanism is the same concept: the scheduler evaluates your Pod's placement requirements against node metadata, and for nodeSelector, that metadata is labels. Therefore, the verified correct answer is D.
NEW QUESTION # 120
Which of the following is not a stop on the cloud native trailmap?
Answer: A
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 121
You are running a stateless application on Kubernetes and want to avoid persistent storage. Which of the following options is suitable?
Answer: B
Explanation:
For stateless applications, an emptyDir volume is the most suitable choice as it provides a temporary directory within the pod, which is discarded when the pod is terminated. PersistentVolumeClaim, HostPath volumes, and Local Persistent Volumes are designed for persistent storage, unsuitable for stateless applications. ConfigMaps store application configuration data, not application data itself.
NEW QUESTION # 122
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