NCA-AIIO Practice Questions: AI Infrastructure Fundamentals Domain

Published: June 12, 2025 | 5 min read

Test your NCA-AIIO knowledge with 5 practice questions from the AI Infrastructure Fundamentals domain. Includes detailed explanations and answers.

NCA-AIIO Practice Questions

Master the AI Infrastructure Fundamentals Domain

Part of Complete NCA-AIIO Study Series: This practice set covers the AI Infrastructure Fundamentals domain. For comprehensive exam preparation, start with our Complete NCA-AIIO Study Guide and explore all exam domains.

Test your knowledge in the AI Infrastructure Fundamentals domain with these 5 practice questions. Each question is designed to help you prepare for the NCA-AIIO certification exam with detailed explanations to reinforce your learning.

Question 1

What is the main advantage of using NGC Containers for AI model deployment?

A) They are free to use on any cloud platform

B) They provide pre-configured environments for AI frameworks

C) They offer the fastest GPU performance

D) They automatically scale with workload demands

Show Answer & Explanation

Correct Answer: B

Explanation: NGC Containers are pre-configured, optimized containers for AI frameworks, making it easier for users to deploy and run AI models without worrying about environment setup and compatibility issues. Other options are incorrect as they do not accurately describe the main advantage of NGC Containers.

Question 2

A company wants to deploy AI workloads in a cloud-native environment using containers. They require a solution that simplifies GPU management within Kubernetes. Which NVIDIA solution should they implement?

A) NVIDIA TensorRT

B) NVIDIA NGC Catalog

C) NVIDIA GPU Operator

D) NVIDIA Base Command

Show Answer & Explanation

Correct Answer: C

Explanation: C is correct because NVIDIA GPU Operator simplifies GPU management in Kubernetes by automating the deployment of all necessary components. A is incorrect as TensorRT is for optimizing inference, not managing GPUs. B is incorrect as NGC provides pre-trained models and containers, not GPU management tools. D is incorrect as Base Command is for workflow management, not specifically for Kubernetes GPU management.

Question 3

A company is running multiple AI training jobs on a single GPU and wants to ensure fair allocation of resources among these jobs. Which NVIDIA technology should they consider to achieve this?

A) NVIDIA Triton Inference Server

B) NVIDIA GPU Operator

C) Multi-Instance GPU (MIG)

D) NVIDIA Base Command

Show Answer & Explanation

Correct Answer: C

Explanation: C is correct because MIG allows partitioning a GPU into multiple instances, providing fair resource allocation among different jobs. A is incorrect as Triton is for inference serving, not resource allocation. B is incorrect as GPU Operator manages GPUs in Kubernetes, not for resource partitioning. D is incorrect as Base Command is for workflow management, not specifically for resource allocation.

Question 4

When designing a data pipeline for AI workloads, which of the following strategies best optimizes data throughput and minimizes latency?

A) Storing all data in cloud storage

B) Using a high-speed local SSD array

C) Implementing a complex ETL process

D) Using a single-threaded data loader

Show Answer & Explanation

Correct Answer: B

Explanation: B is correct because a high-speed local SSD array provides fast data access, reducing latency and improving throughput. A is incorrect as cloud storage can introduce latency. C is incorrect as complexity can slow down data throughput. D is incorrect because single-threaded loading is less efficient than multi-threaded approaches.

Question 5

During a routine maintenance check of an AI infrastructure, you notice that one of the GPUs is consistently underutilized. What is a potential first step in troubleshooting this issue?

A) Increase the batch size of the AI workloads

B) Check for driver updates and compatibility issues

C) Reduce the number of active GPUs

D) Disable all background processes

Show Answer & Explanation

Correct Answer: B

Explanation: B is correct because checking for driver updates and compatibility issues is a logical first step in troubleshooting underutilization, as outdated or incompatible drivers can cause performance issues. A is incorrect as increasing batch size may not address the root cause. C is incorrect because reducing active GPUs may worsen the issue. D is incorrect because disabling background processes may not be related to the GPU issue.

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