NCA-GENM

Review 60 NCA-GENM practice questions with answer explanations and community insights.

Question 1

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?

  1. Decision Trees
  2. K-Means Clustering
  3. Convolutional Neural Networks (CNN)
  4. Linear Regression

Question 2

What is the correct order of steps in an ML project?

  1. Data preprocessing, Data collection, Model training, Model evaluation
  2. Data collection, Data preprocessing, Model training, Model evaluation
  3. Model evaluation, Data preprocessing, Model training, Data collection
  4. Model evaluation, Data collection, Data preprocessing, Model training

Question 3

In a Generative Adversarial Network (GAN), what is the role of the discriminator?

  1. To generate new data based on the training set.
  2. To distinguish between real and generated data.
  3. To optimize the training process.
  4. To calculate the loss function and update the generator.

Question 4

What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?

  1. To classify input images as noisy or clean.
  2. To generate new images from pure noise.
  3. To segment noisy patches in input images.
  4. To detect noisy objects in input images.

Question 5

In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

  1. Decision tree
  2. Support vector machine (SVM)
  3. K-means clustering
  4. Generative adversarial network (GAN)
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