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Free PDF 2025 Linux Foundation CNPA: Certified Cloud Native Platform Engineering Associate First-grade Vce Download
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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q80-Q85):
NEW QUESTION # 80
In a scenario where an Internal Developer Platform (IDP) is being used to enable developers to self-service provision products and capabilities such as Namespace-as-a-Service, which answer best describes who is responsible for resolving application-related incidents?
- A. Platform teams delegate appropriate permissions to the application teams to allow them to self-manage and resolve any underlying infrastructure and application-related problems.
- B. Platform teams are responsible for investigating and resolving all problems related to the platform, including application ones, before the app teams notice.
- C. Platform teams are responsible for investigating and resolving underlying infrastructure problems whilst application teams are responsible for investigating and resolving application-related problems.
- D. A separate team is created which includes people previously from the platform and application teams to solve all problems for the organization.
Answer: C
Explanation:
Platform engineering clearly separates responsibilities between platform teams and application teams. Option C is correct because platform teams manage the platform and infrastructure layer, ensuring stability, compliance, and availability, while application teams own their applications, including troubleshooting application-specific issues.
Option A (creating a single merged team) introduces inefficiency and removes specialization. Option B incorrectly suggests application teams should also solve infrastructure issues, which conflicts with platform- as-a-product principles. Option D places all responsibilities on platform teams, which creates bottlenecks and undermines application team ownership.
By splitting responsibilities, IDPs empower developers with self-service provisioning while maintaining clear boundaries. This ensures both agility and accountability: platform teams focus on enabling and securing the platform, while application teams take ownership of their code and services.
References:- CNCF Platforms Whitepaper- Team Topologies (Platform as a Product Model)- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 81
What is the primary purpose of Kubernetes runtime security?
- A. Manages the access control to the Kubernetes API.
- B. Scans container images before deployment.
- C. Protects workloads against threats during execution.
- D. Encrypts the sensitive data stored in etcd.
Answer: C
Explanation:
The main purpose of Kubernetes runtime security is to protect workloads during execution. Option B is correct because runtime security focuses on monitoring active Pods, containers, and processes to detect and prevent malicious activity such as privilege escalation, anomalous network connections, or unauthorized file access.
Option A (etcd encryption) addresses data at rest, not runtime. Option C (image scanning) occurs pre- deployment, not during execution. Option D (API access control) is enforced through RBAC and IAM, not runtime security.
Runtime security solutions (e.g., Falco, Cilium, or Kyverno) continuously observe system calls, network traffic, and workload behaviors to enforce policies and detect threats in real time. This ensures compliance, strengthens defenses in zero-trust environments, and provides critical protection for cloud native workloads in production.
References:- CNCF Security TAG Guidance- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 82
What is the fundamental difference between a CI/CD and a GitOps deployment model for Kubernetes application deployments?
- A. GitOps is predominantly a push model, with an operator reflecting the desired state.
- B. GitOps is predominantly a pull model, with a controller reconciling desired state.
- C. CI/CD is predominantly a pull model, with the container image providing the desired state.
- D. CI/CD is predominantly a push model, with the user providing the desired state.
Answer: B
Explanation:
The fundamental difference between a traditional CI/CD model and a GitOps model lies in how changes are applied to the Kubernetes cluster-whether they are "pushed" to the cluster by an external system or "pulled" by an agent running inside the cluster.
CI/CD (Push Model)In a typical CI/CD pipeline for Kubernetes, the CI/CD server (like Jenkins, GitLab CI, or GitHub Actions) is granted credentials to access the cluster. When a pipeline runs, it executes commands like kubectl apply or helm upgrade to push the new application configuration and image versions directly to the Kubernetes API server.
* Actor: The CI/CD pipeline is the active agent initiating the change.
* Direction: Changes flow from the CI/CD system to the cluster.
* Security: Requires giving cluster credentials to an external system.
In a GitOps model, a Git repository is the single source of truth for the desired state of the application. An agent or controller (like Argo CD or Flux) runs inside the Kubernetes cluster. This controller continuously monitors the Git repository.
When it detects a difference between the desired state defined in Git and the actual state of the cluster, it pulls the changes from the repository and applies them to the cluster to bring it into the desired state. This process is called reconciliation.
* Actor: The in-cluster controller is the active agent initiating the change.
* Direction: The cluster pulls its desired state from the Git repository.
* Security: The cluster's credentials never leave its boundary. The controller only needs read-access to the Git repository.
NEW QUESTION # 83
A cloud native application needs to establish secure communication between its microservices. Which mechanism is essential for implementing security in service-to-service communications?
- A. Load Balancer
- B. mTLS (Mutual TLS)
- C. Service Mesh
- D. API Gateway
Answer: B
Explanation:
Mutual TLS (mTLS) is the core mechanism for securing service-to-service communication in cloud native environments. Option B is correct because mTLS provides encryption in transit and mutual authentication, ensuring both the client and server verify each other's identity. This prevents unauthorized access, man-in-the- middle attacks, and data leakage.
Option A (API Gateway) manages ingress traffic from external clients but does not secure internal service-to- service communication. Option C (Service Mesh) is a broader infrastructure layer (e.g., Istio, Linkerd) that implements mTLS, but mTLS itself is the mechanism that enforces secure communications. Option D (Load Balancer) distributes traffic but does not handle encryption or authentication.
mTLS is foundational to zero-trust networking inside Kubernetes clusters. Service meshes typically provide automated certificate management and policy enforcement, ensuring seamless adoption of mTLS without requiring developers to modify application code.
References:- CNCF Service Mesh Whitepaper- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 84
During a platform engineering meeting, a team discusses the importance of automating deployment processes to enhance collaboration and efficiency. What is the primary benefit of implementing automation in DevOps practices within platform engineering?
- A. It reduces the need for communication between team members.
- B. It creates dependencies on specific tools and platforms.
- C. It eliminates the need for any manual intervention.
- D. It accelerates deployments, enabling faster iterations and continuous delivery.
Answer: D
Explanation:
Automation in DevOps practices is central to platform engineering because it enables faster, reliable, and repeatable deployments. Option D is correct: automation accelerates deployments, reduces bottlenecks, and enables continuous delivery and rapid iterations. By automating build, test, and deployment pipelines, teams can deliver new features quickly while maintaining high quality and compliance.
Option A is incorrect because automation does not reduce the need for communication-it complements collaboration by removing friction. Option B is unrealistic: some manual oversight may remain (e.g., in production approvals for sensitive workloads). Option C is not a primary benefit-while tools may be involved, the focus is on outcomes, not tool dependency.
By embedding automation, teams reduce toil, enforce consistency, and free developers to focus on value creation rather than repetitive tasks. This results in shorter lead times, higher deployment frequency, and overall improved developer experience, which aligns with DORA metrics.
References:- CNCF Platforms Whitepaper- Continuous Delivery Foundation Guidance- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 85
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