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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

Which nvidia-smi persistent mode setting is recommended for production AI workloads to minimize GPU initialization overhead?

A) nvidia-smi -pm 0 (disabled) to reduce power consumption

B) nvidia-smi -pm 1 (enabled) to keep GPU driver loaded in memory

C) nvidia-smi -pm BALANCED to optimize between performance and power

D) nvidia-smi -pm AUTO to let the system decide automatically

Show Answer & Explanation

Correct Answer: B

Explanation: Setting persistent mode to enabled (nvidia-smi -pm 1) keeps the GPU driver loaded in memory, eliminating GPU initialization overhead when new processes access the GPU. This is crucial for production AI workloads where rapid job startup is important. Option A (disabled) causes initialization delays, while options C and D are not valid nvidia-smi persistent mode settings.

Question 2

In a scenario where multiple AI workloads need to share GPU resources efficiently, which NVIDIA technology should be leveraged to achieve this?

A) NVIDIA GPU Operator

B) NVIDIA CUDA Toolkit

C) NVIDIA Multi-Instance GPU (MIG)

D) NVIDIA TensorRT

Show Answer & Explanation

Correct Answer: C

Explanation: NVIDIA Multi-Instance GPU (MIG) allows for partitioning a GPU into multiple instances, enabling efficient sharing of GPU resources among different workloads. Option A manages GPU drivers and monitoring, Option B is for programming GPUs, and Option D is for optimizing inference performance, not sharing resources.

Question 3

What is a common misconception about integrating NVIDIA NGC with existing infrastructure?

A) NGC provides pre-trained models and containers for easy integration.

B) NGC requires a complete overhaul of existing systems to integrate.

C) NGC can be used to streamline AI workflow automation.

D) NGC supports various deployment configurations including on-prem and cloud.

Show Answer & Explanation

Correct Answer: B

Explanation: A common misconception is that integrating NGC requires a complete overhaul of existing systems. In reality, NGC offers flexibility and can be integrated with existing infrastructure without major changes. It provides pre-trained models, supports workflow automation, and various deployment configurations.

Question 4

To ensure high availability of your AI platform, what is the best strategy for deploying critical components?

A) Deploy all components on a single powerful node.

B) Use a multi-zone Kubernetes cluster with redundant components.

C) Deploy components sequentially to minimize downtime.

D) Rely solely on NVIDIA's hardware redundancy features.

Show Answer & Explanation

Correct Answer: B

Explanation: Using a multi-zone Kubernetes cluster with redundant components ensures high availability by distributing components across multiple failure domains. Deploying on a single node or sequentially does not provide redundancy, and relying solely on hardware features may not cover all failure scenarios.

Question 5

In an NVIDIA AI platform, which policy management strategy is most effective for maintaining compliance with data governance regulations?

A) Implementing a single global policy for all data types and regions.

B) Using a policy engine to apply region-specific data handling policies.

C) Relying on manual audits to ensure compliance.

D) Allowing each team to define their own data policies independently.

Show Answer & Explanation

Correct Answer: B

Explanation: Using a policy engine to apply region-specific data handling policies ensures compliance with local regulations while maintaining efficient management. Option A lacks specificity, option C is labor-intensive and error-prone, and option D can lead to inconsistencies.

Question 6

Which strategy is most effective for policy management to ensure compliance and governance on an NVIDIA AI platform?

A) Implement policies only when a compliance issue is identified.

B) Create comprehensive policies but allow exceptions for urgent tasks.

C) Regularly review and update policies, integrating them with automated enforcement tools.

D) Rely on user self-reporting to manage policy adherence.

Show Answer & Explanation

Correct Answer: C

Explanation: Regularly reviewing and updating policies, and integrating them with automated enforcement tools, ensures ongoing compliance and governance. Waiting for issues to arise or relying on self-reporting can lead to non-compliance, while allowing exceptions undermines policy effectiveness.

Question 7

Which strategy is most effective for integrating an NVIDIA AI platform with existing enterprise infrastructure?

A) Build custom scripts to bridge the AI platform and existing systems.

B) Utilize APIs and connectors provided by NVIDIA for seamless integration.

C) Replace existing infrastructure with NVIDIA solutions for better compatibility.

D) Operate the AI platform in isolation to avoid integration complexities.

Show Answer & Explanation

Correct Answer: B

Explanation: Utilizing APIs and connectors provided by NVIDIA ensures seamless integration with existing enterprise infrastructure, leveraging built-in compatibility and support. Custom scripts can be complex and maintenance-heavy, while replacing infrastructure can be costly and disruptive. Operating in isolation misses out on potential synergies and efficiencies.

Question 8

You need to deploy a new AI workload on your NVIDIA platform, but it requires specific library versions. How should you ensure compatibility and reproducibility?

A) Install the required libraries directly on the host nodes.

B) Use Docker containers with the specified library versions.

C) Manually compile the libraries on the cluster.

D) Create a virtual environment on each node.

Show Answer & Explanation

Correct Answer: B

Explanation: Using Docker containers ensures that the required library versions are packaged together with the application, ensuring compatibility and reproducibility across environments. Installing directly on host nodes or creating virtual environments doesn't guarantee consistency, and manual compilation is error-prone and not scalable.

Question 9

In the context of AI platform management, which of the following is a best practice for managing user accounts and access?

A) Allow all users to have administrator privileges for flexibility.

B) Implement role-based access control (RBAC) to manage permissions.

C) Use a single shared account for all users to simplify management.

D) Regularly change all user passwords to the same new password for security.

Show Answer & Explanation

Correct Answer: B

Explanation: Role-based access control (RBAC) is a best practice for managing user permissions, as it allows administrators to assign users to roles with specific permissions, enhancing security and manageability. Options A, C, and D compromise security and are not considered best practices.

Question 10

Which approach is recommended for optimizing AI workload performance on a multi-GPU system?

A) Disable Multi-Instance GPU (MIG) to simplify configuration.

B) Use MIG to partition GPUs into smaller instances for parallel workloads.

C) Allocate all resources to a single workload to maximize GPU usage.

D) Avoid using container orchestration to reduce overhead.

Show Answer & Explanation

Correct Answer: B

Explanation: Using MIG allows for partitioning GPUs into smaller instances, enabling parallel execution of multiple workloads, which optimizes resource usage and performance. Disabling MIG or avoiding orchestration can lead to inefficiencies, while allocating all resources to a single workload may not be optimal.

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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.

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