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| Section | Objectives |
|---|---|
| Container Orchestration | - Container lifecycle and scheduling
|
| Cloud Native Observability | - Monitoring and logging
|
| Cloud Native Architecture | - Microservices and distributed systems
|
| Cloud Security and Governance | - Security fundamentals in cloud native systems
|
| Cloud Native Application Delivery | - CI/CD and deployment strategies
|
| Kubernetes Fundamentals | - Core Kubernetes concepts
|
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NEW QUESTION # 14
By default, Pods are non-isolated and accept traffic from any source. When a NetworkPolicy selects a Pod, it becomes isolated. How are multiple NetworkPolicies applied to the same Pod handled in Kubernetes?
Answer: A
Explanation:
NetworkPolicies are additive, meaning that all policies selecting a Pod are combined, and the allowed traffic is the union of all rules defined across those policies.
NEW QUESTION # 15
What are the two essential operations that the kube-scheduler normally performs?
Answer: B
Explanation:
The kube-scheduler evaluates candidate nodes by first filtering out nodes that do not meet a Pod's requirements, then scoring the remaining nodes to select the most suitable one for Pod placement.
NEW QUESTION # 16
What is a Dockerfile?
Answer: D
Explanation:
A Dockerfile is a text file that contains a sequence of instructions used to build a container image, so C is correct. These instructions include choosing a base image (FROM), copying files (COPY/ADD), installing dependencies (RUN), setting environment variables (ENV), defining working directories (WORKDIR), exposing ports (EXPOSE), and specifying the default startup command (CMD/ENTRYPOINT). When you run docker build (or compatible tools like BuildKit), the builder executes these instructions to produce an image composed of immutable layers.
In cloud-native application delivery, Dockerfiles (more generally, OCI image build definitions) are a key step in the supply chain. The resulting image artifact is what Kubernetes runs in Pods. Best practices include using minimal base images, pinning versions, avoiding embedding secrets, and using multi-stage builds to keep runtime images small. These practices improve security and performance, and make delivery pipelines more reliable.
Option A is incorrect because a Dockerfile is not a bash script, even though it can run shell commands through RUN. Option B is incorrect because registry destinations are handled by tooling and tagging/push commands (or CI pipeline configuration), not by the Dockerfile itself. Option D is incorrect because an image layer created by a running container is more closely related to container filesystem changes and commits; a Dockerfile is the build recipe, not a runtime-generated layer.
Although the question uses "Dockerfile," the concept maps well to OCI-based container image creation generally: you define a reproducible build recipe that produces an immutable image artifact. That artifact is then versioned, scanned, signed, stored in a registry, and deployed to Kubernetes through manifests/Helm
/GitOps. Therefore, C is the correct and verified definition.
=========
NEW QUESTION # 17
What are the characteristics for building every cloud-native application?
Answer: A
Explanation:
Cloud-native applications are typically designed to thrive in dynamic, distributed environments where infrastructure is elastic and failures are expected. The best set of characteristics listed is Resiliency, Agility, Operability, Observability, making D correct.
Resiliency means the application and its supporting platform can tolerate failures and continue providing service. In Kubernetes terms, resiliency is supported through self-healing controllers, replica management, health probes, and safe rollout mechanisms, but the application must also be designed to handle transient failures, retries, and graceful degradation.
Agility reflects the ability to deliver changes quickly and safely. Cloud-native systems emphasize automation, CI/CD, declarative configuration, and small, frequent releases-often enabled by Kubernetes primitives like Deployments and rollout strategies. Agility is about reducing the friction to ship improvements while maintaining reliability.
Operability is how manageable the system is in production: clear configuration, predictable deployments, safe scaling, and automation-friendly operations. Kubernetes encourages operability through consistent APIs, controllers, and standardized patterns for configuration and lifecycle.
Observability means you can understand what's happening inside the system using telemetry-metrics, logs, and traces-so you can troubleshoot issues, measure SLOs, and improve performance. Kubernetes provides many integration points for observability, but cloud-native apps must also emit meaningful signals.
Options B and C include items that are not "characteristics" (containerd is a runtime; Kubernetes is a platform). Option A includes "availability," which is important, but the canonical cloud-native framing in this question emphasizes the four qualities in D as the foundational build characteristics.
=========
NEW QUESTION # 18
What is a key feature of a container network?
Answer: D
NEW QUESTION # 19
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