NVIDIA NCA-GENM - Generative AI Multimodal Exam
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Total 60 questions
Question #1 (Topic: Topic 1, Core machine learning and AI knowledge
)
You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?
A. Decision Trees
B. K-Means Clustering
C. Convolutional Neural Networks (CNN)
D. Linear Regression
Answer: C
Question #2 (Topic: Topic 1, Core machine learning and AI knowledge
)
What is the correct order of steps in an ML project?
A. Data preprocessing, Data collection, Model training, Model evaluation
B. Data collection, Data preprocessing, Model training, Model evaluation
C. Model evaluation, Data preprocessing, Model training, Data collection
D. Model evaluation, Data collection, Data preprocessing, Model training
Answer: B
Question #3 (Topic: Topic 1, Core machine learning and AI knowledge
)
In a Generative Adversarial Network (GAN), what is the role of the discriminator?
A. To generate new data based on the training set.
B. To distinguish between real and generated data.
C. To optimize the training process.
D. To calculate the loss function and update the generator.
Answer: B
Question #4 (Topic: Topic 1, Core machine learning and AI knowledge
)
What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?
A. To classify input images as noisy or clean.
B. To generate new images from pure noise.
C. To segment noisy patches in input images.
D. To detect noisy objects in input images.
Answer: B
Question #5 (Topic: Topic 1, Core machine learning and AI knowledge
)
In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?
A. Decision tree
B. Support vector machine (SVM)
C. K-means clustering
D. Generative adversarial network (GAN)
Answer: D
