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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Observability | 8% | - Logging
|
| Topic 2: Cloud Native Architecture | 16% | - Architecture Concepts
|
| Topic 3: Kubernetes Fundamentals | 46% | - Kubernetes API
|
| Topic 4: Cloud Native Application Delivery | 8% | - GitOps
|
| Topic 5: Container Orchestration | 22% | - Orchestration Fundamentals
|
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NEW QUESTION # 324
What is a Dockerfile?
Answer: A
NEW QUESTION # 325
What is a key feature of a container network?
Answer: A
Explanation:
A defining requirement of container networking in orchestrated environments is enabling workloads to communicate across hosts, not just within a single machine. That's why B is correct: a key feature of a container network is allowing containers (Pods) running on separate hosts to communicate.
In Kubernetes, this idea becomes the Kubernetes network model: every Pod gets an IP address, and Pods should be able to communicate with other Pods across nodes without needing NAT (depending on implementation details). Achieving that across a cluster requires a networking layer (typically implemented by a CNI plugin) that can route traffic between nodes so that Pod-to-Pod communication works regardless of placement. This is crucial because schedulers dynamically place Pods; you cannot assume two communicating components will land on the same node.
Option C is true in a trivial sense-containers on the same host can communicate-but that capability alone is not the key feature that makes orchestration viable at scale. Cross-host connectivity is the harder and more essential property. Option A describes application-layer behavior (like API gateways or reverse proxies) rather than the foundational networking capability. Option D describes storage optimization, unrelated to container networking.
From a cloud native architecture perspective, reliable cross-host networking enables microservices patterns, service discovery, and distributed systems behavior. Kubernetes Services, DNS, and NetworkPolicies all depend on the underlying ability for Pods across the cluster to send traffic to each other. If your container network cannot provide cross-node routing and reachability, the cluster behaves like isolated islands and breaks the fundamental promise of orchestration: "schedule anywhere, communicate consistently."
NEW QUESTION # 326
Which is the correct kubectl command to display logs in real time?
Answer: B
Explanation:
To stream logs in real time with kubectl, you use the follow option -f, so D is correct. In Kubernetes, kubectl logs retrieves logs from containers in a Pod. By default, it returns the current log output and exits. When you add -f, kubectl keeps the connection open and continuously prints new log lines as they are produced, similar to tail -f on Linux. This is especially useful for debugging live behavior, watching startup sequences, or monitoring an application during a rollout.
The other flags serve different purposes. -p (as seen in option A) requests logs from the previous instance of a container (useful after a restart/crash), not real-time streaming. -c (option B) selects a specific container within a multi-container Pod; it doesn't stream by itself (though it can be combined with -f). -l (option C) is used with kubectl logs to select Pods by label, but again it is not the streaming flag; streaming requires -f.
In real troubleshooting, you commonly combine flags, e.g. kubectl logs -f pod-name -c container-name for streaming logs from a specific container, or kubectl logs -f -l app=myapp to stream from Pods matching a label selector (depending on kubectl behavior/version). But the key answer to "display logs in real time" is the follow flag: -f.
Therefore, the correct selection is D.
NEW QUESTION # 327
The Kubernetes project work is carried primarily by SIGs. What does SIG stand for?
Answer: A
Explanation:
In Kubernetes governance and project structure, SIG stands for Special Interest Group, so A is correct.
Kubernetes is a large open source project under the Cloud Native Computing Foundation (CNCF), and its work is organized into groups that focus on specific domains-such as networking, storage, node, scheduling, security, docs, testing, and many more. SIGs provide a scalable way to coordinate contributors, prioritize work, review design proposals (KEPs), triage issues, and manage releases in their area.
Each SIG typically has regular meetings, mailing lists, chat channels, and maintainers who guide the direction of that part of the project. For example, SIG Network focuses on Kubernetes networking architecture and components, SIG Storage on storage APIs and CSI integration, and SIG Scheduling on scheduler behavior and extensibility. This structure helps Kubernetes evolve while maintaining quality, review rigor, and community-driven decision making.
The other options are not part of Kubernetes project terminology. "Software Installation Guide" and the others might sound plausible, but they are not how Kubernetes defines SIGs.
Understanding SIGs matters operationally because many Kubernetes features and design changes originate from SIGs. When you read Kubernetes enhancement proposals, release notes, or documentation, you'll often see SIG ownership and references. In short, SIGs are the primary organizational units for Kubernetes engineering and stewardship, and SIG = Special Interest Group.
NEW QUESTION # 328
What Kubernetes component handles network communications inside and outside of a cluster, using operating system packet filtering if available?
Answer: C
Explanation:
kube-proxy is the Kubernetes component responsible for implementing Service networking on nodes, commonly by programming operating system packet filtering / forwarding rules (like iptables or IPVS), which makes A correct.
Kubernetes Services provide stable virtual IPs and ports that route traffic to a dynamic set of Pod endpoints.
kube-proxy watches the API server for Service and EndpointSlice/Endpoints updates and then configures the node's networking so that traffic to a Service is correctly forwarded to one of the backend Pods. In iptables mode, kube-proxy installs NAT and forwarding rules; in IPVS mode, it programs kernel load-balancing tables. In both cases, it leverages OS-level packet handling to efficiently steer traffic. This is the "packet filtering if available" concept referenced in the question.
kube-proxy's work affects both "inside" and "outside" paths in typical setups. Internal cluster clients reach Services via ClusterIP and DNS, and kube-proxy rules forward that traffic to Pods. For external traffic, paths often involve NodePort or LoadBalancer Services or Ingress controllers that ultimately forward into Services
/Pods-again relying on node-level service rules. While some modern CNI/eBPF dataplanes can replace or bypass kube-proxy, the classic Kubernetes architecture still defines kube-proxy as the component implementing Service connectivity.
The other options are not networking dataplane components: kubelet runs Pods and reports status; etcd stores cluster state; kube-controller-manager runs control loops for API objects. None of these handle node-level packet routing for Services. Therefore, the correct verified answer is A: kube-proxy.
NEW QUESTION # 329
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