Question 1

You are assisting in a project where the senior engineer requires you to create visualizations of system resource usage during the training of an AI model. The training was conducted using multiple NVIDIA GPUs over several hours. The goal is to present the results in a way that highlights periods of high resource utilization and potential bottlenecks. Which type of visualization would best illustrate periods of high resource utilization and potential bottlenecks during the training process?

Options :

A : Stacked bar chart showing cumulative resource usage.

B : Pie chart showing the proportion of time each GPU was utilized.

C : Heatmap showing GPU utilization over time.

D : Box plot showing the distribution of resource usage.

Answer: C

Question 2

Which of the following factors has most significantly contributed to the recent rapid improvements and widespread adoption of AI?

Options :

A : The invention of new AI programming languages.

B : The rise of social media, increasing the need for AI.

C : Increased computational power, especially with the advent of modern GPUs and specialized AI hardware.

D : The global standardization of AI ethics guidelines.

Answer: C

Question 3

You are assisting a senior data scientist in analyzing a large dataset of customer transactions to identify potential fraud. The dataset contains several hundred features, but the senior team member advises you to focus on feature selection before applying any machine learning models. Which approach should you take under their supervision to ensure that only the most relevant features are used?

Options :

A : Use correlation analysis to identify and remove features that are highly correlated with each other.

B : Select features randomly to reduce the number of features while maintaining diversity.

C : Ignore the feature selection step and use all features in the initial model.

D : Use Principal Component Analysis (PCA) to reduce the dataset to a single feature.

Answer: A

Question 4

You need to create a comprehensive report on the performance of your AI model, which includes accuracy, loss, and resource utilization over time. What are the two most effective methods to visualize these metrics using specialized software? (Select two)

Options :

A : Create a histogram to display GPU memory usage distribution

B : Create a heatmap to represent resource utilization across different servers

C : Generate a pie chart to compare accuracy against loss

D : Use a line chart to show accuracy and loss over training epochs

E : Use a scatter plot to show accuracy and loss correlations

Answer: B,D

Question 5

An AI research team is working on a large-scale natural language processing (NLP) model that requires both data preprocessing and training across multiple GPUs. They need to ensure that the GPUs are used efficiently to minimize training time. Which combination of NVIDIA technologies should they use?

Options :

A : NVIDIA TensorRT and NVIDIA DGX OS

B : NVIDIA DeepStream SDK and NVIDIA CUDA Toolkit

C : NVIDIA DALI (Data Loading Library) and NVIDIA NCCL

D : NVIDIA cuDNN and NVIDIA NGC Catalog

Answer: C

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