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NCP-AIO Practice Questions: Administration Domain

Test your NCP-AIO knowledge with 10 practice questions from the Administration domain. Includes detailed explanations and answers.

NCP-AIO Practice Questions

Master the Administration Domain

Test your knowledge in the Administration domain with these 10 practice questions. Each question is designed to help you prepare for the NCP-AIO certification exam with detailed explanations to reinforce your learning.

Question 1

In managing user accounts on an NVIDIA AI platform, which approach is most effective for ensuring secure and scalable access control?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Integrating with an external identity provider like LDAP or Active Directory allows centralized management of user credentials and access policies, which enhances security and scalability. Local accounts on each node (A) are not scalable, SSH key-based authentication without policies (C) lacks flexibility and oversight, and shared accounts (D) pose significant security risks.

Question 2

When configuring system governance on an NVIDIA AI platform, which strategy is most effective for maintaining compliance and security?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Enabling logging and auditing for all system activities and regularly reviewing logs is crucial for maintaining compliance and security. It provides visibility into user actions and system changes, which is essential for detecting and responding to security incidents. Disabling logging (B) and only logging critical errors (C) reduce oversight, while unrestricted access (D) poses significant security risks.

Question 3

Which method is most effective for optimizing the performance of AI workloads on an NVIDIA AI platform?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Using NVIDIA's Multi-Instance GPU (MIG) feature allows for partitioning of GPUs, enabling concurrent execution of multiple workloads on a single GPU, which optimizes resource utilization and performance. Disabling system monitoring (A) can lead to undetected issues, allocating maximum resources (C) is inefficient, and prioritizing CPU over GPU (D) is generally not optimal for AI workloads, which are GPU-intensive.

Question 4

What is the best practice for configuring system policies to manage resource allocation on a multi-user NVIDIA AI platform?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: Role-based access control (RBAC) is the best practice for managing resource allocation as it allows administrators to set policies based on user roles, ensuring fair and efficient distribution of resources. Allocating resources equally (A) does not account for varying workload needs, self-management (C) can lead to resource contention, and a first-come, first-served approach (D) is inefficient and unfair.

Question 5

In the context of NVIDIA AI platforms, what is the primary advantage of using the NVIDIA GPU Operator for managing GPU resources in Kubernetes environments?

A) undefined

B) undefined

C) undefined

D) undefined

Show Answer & Explanation

Correct Answer: undefined

Explanation: The NVIDIA GPU Operator simplifies the deployment of GPU-accelerated applications by managing the installation and configuration of necessary drivers, monitoring tools, and other components within a Kubernetes environment. While it does not automatically update all system components (A), and dynamic allocation (B) is handled by Kubernetes itself, it does require some configuration (C) to set up initially.

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About NCP-AIO Certification

The NCP-AIO certification validates your expertise in administration and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.