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| Section | Weight | Objectives |
|---|---|---|
| Kubernetes Fundamentals | 46% | - Scheduling and Administration
|
| Container Orchestration | 22% | - Networking & Storage
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Cloud Native Observability | 8% | - Logging & Tracing
|
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NEW QUESTION # 34
What's the most adopted way of conflict resolution and decision-making for the open-source projects under the CNCF umbrella?
Answer: B
Explanation:
B (Discussion and Voting) is correct. CNCF-hosted open-source projects generally operate with open governance practices that emphasize transparency, community participation, and documented decision- making. While each project can have its own governance model (maintainers, technical steering committees, SIGs, TOC interactions, etc.), a very common and widely adopted approach to resolving disagreements and making decisions is to first pursue discussion (often on GitHub issues/PRs, mailing lists, or community meetings) and then use voting/consensus mechanisms when needed.
This approach is important because open-source communities are made up of diverse contributors across companies and geographies. "Project Founder Say" (D) is not a sustainable or typical CNCF governance norm for mature projects; CNCF explicitly encourages neutral, community-led governance rather than single-person control. "Financial Analysis" (A) is not a conflict resolution mechanism for technical decisions, and "Flipism Technique" (C) is not a real governance practice.
In Kubernetes specifically, community decisions are often made within structured groups (e.g., SIGs) using discussion and consensus-building, sometimes followed by formal votes where governance requires it. The goal is to ensure decisions are fair, recorded, and aligned with the project's mission and contributor expectations. This also reduces risk of vendor capture and builds trust: anyone can review the rationale in meeting notes, issues, or PR threads, and decisions can be revisited with new evidence.
Therefore, the most adopted conflict resolution and decision-making method across CNCF open-source projects is discussion and voting, making B the verified correct answer.
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NEW QUESTION # 35
What Kubernetes control plane component exposes the programmatic interface used to create, manage and interact with the Kubernetes objects?
Answer: D
NEW QUESTION # 36
You are setting up a Kubernetes cluster with a large number of pods. You want to optimize the network communication between these pods for high performance and minimal latency. Which Kubernetes networking option would you consider for this scenario?
Answer: D,E
Explanation:
Calico and Weave Net are known for their performance and scalability in Kubernetes environments. Calico provides efficient routing and optimized network communication, making it suitable for large-scale deployments. Weave Net is a popular choice for its simplicity scalability, and performance in handling heavy network traffic. While Flannel and Canal are also Kubernetes networking solutions, they may not be as optimized for large-scale deployments as Calico and Weave Net
NEW QUESTION # 37
What is the core metric type in Prometheus used to represent a single numerical value that can go up and down?
Answer: A
Explanation:
In Prometheus, a Gauge represents a single numerical value that can increase and decrease over time, which makes D the correct answer. Gauges are used for values like current memory usage, number of in-flight requests, queue depth, temperature, or CPU usage-anything that can move up and down.
This contrasts with a Counter, which is strictly monotonically increasing (it only goes up, except for resets when a process restarts). Counters are ideal for cumulative totals like total HTTP requests served, total errors, or bytes transmitted. Histograms and Summaries are used to capture distributions (often latency distributions), providing bucketed counts (histogram) or quantile approximations (summary), and are not the "single value that goes up and down" primitive the question asks for.
In Kubernetes observability, metrics are a primary signal for understanding system health and performance.
Prometheus is widely used to scrape metrics from Kubernetes components (kubelet, API server, controller- manager), cluster add-ons, and applications. Gauges are common for resource utilization metrics and for instantaneous states, such as container_memory_working_set_bytes or go_goroutines.
When you build alerting and dashboards, selecting the right metric type matters. For example, if you want to alert on the current memory usage, a gauge is appropriate. If you want to compute request rates, you typically use counters with Prometheus functions like rate() to derive per-second rates. Histograms and summaries are used when you need latency percentiles or distribution analysis.
So, for "a single numerical value that can go up and down," the correct Prometheus metric type is Gauge (D).
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NEW QUESTION # 38
A Kubernetes administrator wants to limit the total memory usage of all Pods in a specific namespace to 4Gi. What should they create to enforce this limit?
Answer: A
Explanation:
A ResourceQuota enforces aggregate resource limits at the namespace level, allowing the administrator to cap the total memory usage of all Pods in the namespace to a defined value such as 4Gi.
NEW QUESTION # 39
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