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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Architecture | 16% | - Cloud Native Principles
|
| Cloud Native Application Delivery | 8% | - Delivery Models
|
| Cloud Native Observability | 8% | - Monitoring & Metrics
|
| Kubernetes Fundamentals | 46% | - Containerization Basics
|
| Container Orchestration | 22% | - Orchestration Principles
|
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NEW QUESTION # 49
Which of the following best describes horizontally scaling an application deployment?
Answer: A
Explanation:
Horizontal scaling means changing how many instances of an application are running, not changing how big each instance is. Therefore, the best description is C: adding/removing application instances of the same application to meet demand. In Kubernetes, "instances" typically correspond to Pod replicas managed by a controller like a Deployment. When you scale horizontally, you increase or decrease the replica count, which increases or decreases total throughput and resilience by distributing load across more Pods.
Option A is about cluster/node scaling (adding or removing nodes), which is infrastructure scaling typically handled by a cluster autoscaler in cloud environments. Node scaling can enable more Pods to be scheduled, but it's not the definition of horizontal application scaling itself. Option D describes vertical scaling-adding/removing CPU or memory resources to a given instance (Pod/container) by changing requests/limits or using VPA. Option B is vague and not the standard definition.
Horizontal scaling is a core cloud-native pattern because it improves availability and elasticity. If one Pod fails, other replicas continue serving traffic. In Kubernetes, scaling can be manual (kubectl scale deployment ... --replicas=N) or automatic using the Horizontal Pod Autoscaler (HPA). HPA adjusts replicas based on observed metrics like CPU utilization, memory, or custom/external metrics (for example, request rate or queue length). This creates responsive systems that can handle variable traffic.
From an architecture perspective, designing for horizontal scaling often means ensuring your application is stateless (or manages state externally), uses idempotent request handling, and supports multiple concurrent instances. Stateful workloads can also scale horizontally, but usually with additional constraints (StatefulSets, sharding, quorum membership, stable identity).
So the verified definition and correct choice is C.
NEW QUESTION # 50
Consider the following Kubernetes resource definition:
What does the "resources" section define in this Deployment manifest?
Answer: C
Explanation:
The "resources" section in the Deployment manifest defines the minimum (requests) and maximum (limits) resource requirements for the container This helps Kubernetes schedule pods effectively and prevents resource starvation or excessive resource consumption by individual pods.
NEW QUESTION # 51
What does "continuous" mean in the context of CI/CD?
Answer: C
Explanation:
The correct answer is C: in CI/CD, "continuous" implies frequent releases, automation, repeatability, and fast feedback/processing. The intent is to reduce batch size and latency between code change and validation/deployment. Instead of integrating or releasing in large, risky chunks, teams integrate changes continually and rely on automation to validate and deliver them safely.
"Continuous" does not mean "periodic" (which eliminates B and D). It also does not mean "manual processes" (which eliminates A and B). Automation is core: build, test, security checks, and deployment steps are consistently executed by pipeline systems, producing reliable outcomes and auditability.
In practice, CI means every merge triggers automated builds and tests so the main branch stays in a healthy state. CD means those validated artifacts are promoted through environments with minimal manual steps, often including progressive delivery controls (canary, blue/green), automated rollbacks on health signal failures, and policy checks. Kubernetes works well with CI/CD because it is declarative and supports rollout primitives: Deployments, readiness probes, and rollback revision history enable safer continuous delivery when paired with pipeline automation.
Repeatability is a major part of "continuous." The same pipeline should run the same way every time, producing consistent artifacts and deployments. This reduces "works on my machine" issues and shortens incident resolution because changes are traceable and reproducible. Fast processing and frequent releases also mean smaller diffs, easier debugging, and quicker customer value delivery.
So, the combination that accurately reflects "continuous" in CI/CD is frequent + automated + repeatable + fast, which is option C.
NEW QUESTION # 52
Kubernetes Secrets are specifically intended to hold confidential data. Which API object should be used to hold non-confidential data?
Answer: C
Explanation:
In Kubernetes, different API objects are designed for different categories of configuration and operational data. Secrets are used to store sensitive information such as passwords, API tokens, and encryption keys. For data that is not confidential, Kubernetes provides the ConfigMap resource, making option C the correct answer.
ConfigMaps are intended to hold non-sensitive configuration data that applications need at runtime.
Examples include application configuration files, feature flags, environment-specific settings, URLs, port numbers, and command-line arguments. ConfigMaps allow developers to decouple configuration from application code, which aligns with cloud-native and twelve-factor app principles. This separation makes applications more portable, easier to manage, and simpler to update without rebuilding container images.
ConfigMaps can be consumed by Pods in several ways: as environment variables, as command-line arguments, or as files mounted into a container's filesystem. Because they are not designed for confidential data, ConfigMaps store values in plaintext and do not provide encryption by default. This is why sensitive data must always be stored in Secrets instead.
Option A, CNI (Container Network Interface), is a networking specification used to configure Pod networking and is unrelated to data storage. Option B, CSI (Container Storage Interface), is used for integrating external storage systems with Kubernetes and does not store configuration data. Option D, RBAC, defines authorization policies and access controls within the cluster and is not a data storage mechanism.
While both Secrets and ConfigMaps can technically be accessed in similar ways by Pods, Kubernetes clearly distinguishes their intended use cases based on data sensitivity. Using ConfigMaps for non-confidential data improves clarity, security posture, and maintainability of Kubernetes configurations.
Therefore, the correct and verified answer is Option C: ConfigMaps, which are explicitly designed to hold non-confidential configuration data in Kubernetes.
NEW QUESTION # 53
What components are common in a service mesh?
Answer: C
NEW QUESTION # 54
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