Huawei - Newest H13-311_V3.5 - HCIA-AI V3.5 Certification Test Answers

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Huawei HCIA-AI V3.5 Sample Questions (Q356-Q361):

NEW QUESTION # 356
Which of the following are common gradient descent methods?

A. Multi-dimensional gradient descent (MDGD)
B. Stochastic gradient descent (SGD)
C. Mini-batch gradient descent (MBGD)
D. Batch gradient descent (BGD)

Answer: B,C,D

Explanation:
The gradient descent method is a core optimization technique in machine learning, particularly for neural networks and deep learning models. The common gradient descent methods include:
Batch Gradient Descent (BGD): Updates the model parameters after computing the gradients from the entire dataset.
Mini-batch Gradient Descent (MBGD): Updates the model parameters using a small batch of data, combining the benefits of both batch and stochastic gradient descent.
Stochastic Gradient Descent (SGD): Updates the model parameters for each individual data point, leading to faster but noisier updates.
Multi-dimensional gradient descent is not a recognized method in AI or machine learning.

NEW QUESTION # 357
"AI application fields include only computer vision and speech processing." Which of the following is true about this statement?

A. This statement is false. AI application fields include only computer vision and natural language processing.
B. This statement is true. Computer vision is the most important AI application.
C. This statement is true. Voice data is processed with extremely high accuracy.
D. This statement is false. The application fields of AI include computer vision, speech processing, natural language processing, and others.

Answer: D

Explanation:
AI is not limited to just computer vision and speech processing. In addition to these fields, AI encompasses other important areas such as natural language processing (NLP), robotics, smart finance, autonomous driving, and more. Natural language processing focuses on understanding and generating human language, while other fields apply AI to various industries and applications such as healthcare, finance, and manufacturing. AI is a broad field with numerous application areas.

NEW QUESTION # 358
The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 359
Linear regression in 3 The fitted surface in the dimension above dimension is?

A. Curved surface
B. Hypersurface
C. Hyperplane
D. flat

Answer: C

NEW QUESTION # 360
Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?

A. The results of each trial are independent of each other.
B. Each test itself is obeying normal distribution
C. There are only two possible outcomes for each trial, i.e. event A occurs and event A does not occur.
D. Each test was repeated under the same conditions.

Answer: B

NEW QUESTION # 361
......

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Huawei - Newest H13-311_V3.5 - HCIA-AI V3.5 Certification Test Answers

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Huawei HCIA-AI V3.5 Sample Questions (Q356-Q361):

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