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NCP-AIO Installation and Deployment Practice Question

When installing the NVIDIA GPU Operator, which namespace is typically used to ensure proper isolation and role-based access control?

⚠ Common exam trap

Candidates often install the Operator in the default namespace. This creates security risks and makes it difficult to apply specific RBAC policies or manage the lifecycle of the operator independently of applications.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

gpu-operator

Using a dedicated namespace like 'gpu-operator' is a best practice in Kubernetes. It isolates the operator's resources, permissions, and lifecycle from other cluster services. This separation allows for granular security policies, making it easier to manage access and ensuring that only authorized personnel can modify the operator's configuration, which is vital for maintaining the security and integrity of the GPU-enabled infrastructure in a production environment.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    default

    Why it's wrong here

    The default namespace is intended for general-purpose, non-critical workloads. Deploying infrastructure-level operators like the NVIDIA GPU Operator into the default namespace creates security risks and makes resource management significantly harder, as it mixes system-critical services with potentially unstable user-deployed applications, violating the principle of least privilege.

  • ✓

    gpu-operator

    Why this is correct

    Creating a dedicated namespace for the GPU Operator is standard industry practice. It provides logical isolation and allows administrators to apply specific RBAC policies to the operator's components, ensuring that the critical system-level software is segregated from general tenant workloads and other cluster services for better security posture.

  • ✗

    kube-system

    Why it's wrong here

    The kube-system namespace is reserved for core Kubernetes components such as the scheduler, controller manager, and DNS. Modifying or adding custom operators to this namespace is strongly discouraged as it interferes with cluster-core management and complicates upgrades, potentially causing instability in fundamental cluster operations.

  • ✗

    public-apps

    Why it's wrong here

    The public-apps namespace is not a standard Kubernetes convention and does not provide the administrative isolation required for system-level operators. Deploying the GPU Operator here would be confusing and fail to enforce the required security boundaries needed to protect the hardware-level integration components of the cluster.

Quick reference

Access Control Model Comparison

ModelAcronymWho Controls Access?Best For
Discretionary Access ControlDACResource ownerSmall teams, file shares
Mandatory Access ControlMACSystem / security labelsClassified govt / military
Role-Based Access ControlRBACAdministrator (via roles)Enterprise environments
Attribute-Based Access ControlABACPolicy engine (user + resource attributes)Fine-grained, dynamic policies
Rule-Based Access ControlRuBACSystem rules / ACLsFirewall rules, network ACLs

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official NVIDIA exam blueprint

This NCP-AIO practice question is part of Courseiva's free NVIDIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the NCP-AIO exam.