NCA-AIIO

Practice NCA-AIIO Exam

Is it difficult for you to decide to purchase NVIDIA NCA-AIIO exam dumps questions? CertQueen provides FREE online AI Infrastructure and Operations NCA-AIIO exam questions below, and you can test your NCA-AIIO skills first, and then decide whether to buy the full version or not. We promise you get the following advantages after purchasing our NCA-AIIO exam dumps questions.
1.Free update in ONE year from the date of your purchase.
2.Full payment fee refund if you fail NCA-AIIO exam with the dumps

Full NCA-AIIO Exam Dump Here

Latest NCA-AIIO Exam Dumps Questions

The dumps for NCA-AIIO exam was last updated on Apr 28,2025 .

Viewing page 1 out of 12 pages.

Viewing questions 1 out of 60 questions

Question#1

Which NVIDIA solution is specifically designed to accelerate data analytics and machine learning workloads, allowing data scientists to build and deploy models at scale using GPUs?

A. NVIDIA JetPack

B. NVIDIA CUDA

C. NVIDIA DGX A100

D. NVIDIA RAPIDS

Question#2

A retail company wants to implement an AI-based system to predict customer behavior and personalize product recommendations across its online platform. The system needs to analyze vast amounts of customer data, including browsing history, purchase patterns, and social media interactions.
Which approach would be the most effective for achieving these goals?

A. Using a simple linear regression model to predict customer behavior based on purchase history alone

B. Deploying a deep learning model that uses a neural network with multiple layers for feature extraction and prediction

C. Utilizing unsupervised learning to automatically classify customers into different categories without prior labels

D. Implementing a rule-based AI system to generate recommendations based on predefined customer segments

Question#3

Your AI team is running a distributed deep learning training job on an NVIDIA DGX A100 cluster using multiple nodes. The training process is slowing down significantly as the model size increases.
Which of the following strategies would be most effective in optimizing the training performance?

A. Enable Mixed Precision Training

B. Increase Batch Size

C. Decrease the Number of Nodes

D. Use Data Parallelism Instead of Model Parallelism

Question#4

An AI research lab is virtualizing its infrastructure to support multiple AI projects concurrently. The operations team needs to ensure that GPU-accelerated applications run smoothly in this virtualized environment.
What are the two key factors they should focus on? (Select two)

A. Prioritizing network security over GPU resource allocation

B. Configuring high storage IOPS for each virtual machine

C. Disabling hyper-threading on CPUs to reduce complexity

D. Ensuring the hypervisor supports GPU virtualization

E. Managing GPU allocation based on workload requirements

Question#5

During a data analysis task, the team decides to conduct a hyperparameter search to tune a neural network model on an NVIDIA GPU cluster.
Which two of the following practices will help maximize the efficiency of the hyperparameter tuning process? (Select two)

A. Perform the search sequentially on a single GP

B. Use only default hyperparameters as a baseline for all models.

C. Leverage NVIDIA's automatic mixed precision (AMP) during tuning.

D. Prioritize hyperparameter tuning on CPU nodes to free up GPUs for other tasks.

E. Utilize distributed hyperparameter tuning across multiple GPUs.

Exam Code: NCA-AIIO Q & A: 300 Q&As Updated: Apr 28,2025

Full NCA-AIIO Exam Dumps Here

Exam Code: NCA-AIIO
Q & A: 300 Q&As
Updated: Apr 28,2025

About NCA-AIIO Dumps