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| Section | Weight | Objectives |
|---|---|---|
| Container Orchestration | 22% | - Networking & Storage
|
| Kubernetes Fundamentals | 46% | - Containerization Basics
|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Cloud Native Observability | 8% | - Logging & Tracing
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
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NEW QUESTION # 270
You are using Flux to manage your Kubernetes cluster with GitOps. You need to ensure that all deployments are automatically rolled back to the previous version if they fail. Which configuration option in Flux would you use to achieve this?
Answer: C
Explanation:
The •rollbackConfig• option in Flux allows you to define rollback strategies for deployments. Setting 'failed: true' ensures that if a deployment fails, it will be automatically rolled back to the previous working version, minimizing downtime and ensuring stability.
NEW QUESTION # 271
Kubernetes Secrets are specifically intended to hold confidential data. Which API object should be used to hold non-confidential data?
Answer: C
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 # 272
Which of the following scenarios would benefit the most from a service mesh architecture?
Answer: C
NEW QUESTION # 273
Which of the following Pod Security Standards enforces the most restrictive settings, designed for security-critical workloads?
Answer: C
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 # 274
What is CloudEvents?
Answer: D
Explanation:
CloudEvents is an open specification for describing event data in a common way to enable interoperability across services, platforms, and systems, so C is correct. In cloud-native architectures, many components communicate asynchronously via events (message brokers, event buses, webhooks). Without a standard envelope, each producer and consumer invents its own event structure, making integration brittle.
CloudEvents addresses this by standardizing core metadata fields-like event id, source, type, specversion, and time-and defining how event payloads are carried.
This helps systems interoperate regardless of transport. CloudEvents can be serialized as JSON or other encodings and carried over HTTP, messaging systems, or other protocols. By using a shared spec, you can route, filter, validate, and transform events more consistently.
Option A is too narrow and incorrectly ties CloudEvents to Kubernetes traffic management; CloudEvents is broader than Kubernetes. Option B is closer but still framed incorrectly-CloudEvents is not merely "for all cloud providers," it is an interoperability spec across services and platforms, including but not limited to cloud provider event systems. Option D is clearly incorrect.
In Kubernetes ecosystems, CloudEvents is relevant to event-driven systems and serverless platforms (e.g., Knative Eventing and other eventing frameworks) because it provides a consistent event contract across producers and consumers. That consistency reduces coupling, supports better tooling (schema validation, tracing correlation), and makes event-driven architectures easier to operate at scale.
So, the correct definition is C: a specification for common event formats to enable interoperability across systems.
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NEW QUESTION # 275
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