NVIDIA NCA-GENM Exam Practice Questions and Answers

Question 6 of 60

You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?

A.

Pie chart

B.

Bar chart

C.

Line chart

D.

Histogram chart

Question 7 of 60

What could be a way to handle overfitting in deep learning?

A.

Increase the complexity of the model to fit the training dataset better.

B.

Add regularization techniques such as dropout or L1/L2 regularization.

C.

Increase the training time to fit the training dataset better.

D.

Decrease the size of the training dataset.

Question 8 of 60

Which of the following best describes hyperparameter tuning in ML experimentation?

A.

Hyperparameter tuning refers to the process of generating new training data to improve model accuracy.

B.

Hyperparameter tuning involves finding the optimal values for the hyperparameters of a machine learning model.

C.

Hyperparameter tuning refers to the process of adjusting the weights of a neural network to optimize model performance.

D.

Hyperparameter tuning is the process of selecting the best model architecture for a given task.

Question 9 of 60

You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A.

To study the impact of AI models on human behavior.

B.

To determine the best AI model architecture.

C.

To analyze the cost-effectiveness of AI model development.

D.

To determine the ethical implications of AI model usage.

Question 10 of 60

Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

A.

CTC Loss

B.

F1 Score

C.

Word Error Rate (WER)

D.

Mean Opinion Score (MOS)