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Huawei HCIA-AI V3.5 Sample Questions (Q166-Q171):

NEW QUESTION # 166
Which of the following are use cases of generative adversarial networks?

A. Generating face images
B. Generating images from text
C. Generating a 3D model from a 2D image
D. Photo repair

Answer: A,B,C,D

Explanation:
Generative Adversarial Networks (GANs) are widely used in several creative and image generation tasks, including:
A . Photo repair: GANs can be used to restore missing or damaged parts of images.
B . Generating face images: GANs are known for their ability to generate realistic face images.
C . Generating a 3D model from a 2D image: GANs can be used in applications where 2D images are converted into 3D models.
D . Generating images from text: GANs can also generate images based on text descriptions, as seen in tasks like text-to-image synthesis.
All of the provided options are valid use cases of GANs.
HCIA AI
Reference:
Deep Learning Overview: Discusses the architecture and use cases of GANs, including applications in image generation and creative content.
AI Development Framework: Covers the role of GANs in various generative tasks across industries.

NEW QUESTION # 167
What quotation marks can the Python language use? (Multiple Choice)

A. Four quotes
B. Three quotes
C. Double quotes
D. Single quotes

Answer: B,C,D

NEW QUESTION # 168
Which of the following statements about supervised learning is correct?

A. Supervised learning is a rule-based algorithm
B. Decision tree is a supervised learning
C. Supervised learning cannot use cross-validation for training
D. Supervised learning can be trained without labels

Answer: B

NEW QUESTION # 169
After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

A. Data cleaning
B. Decision tree generation
C. Pruning
D. Feature selection

Answer: A

NEW QUESTION # 170
Which of the following is not the difference between Python 2 and Python 3?

A. xrange
B. print
C. Unicode
D. import

Answer: D

NEW QUESTION # 171
......

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