Updated Feb-2025 Test Engine to Practice H13-311_V3.5 Test Questions
H13-311_V3.5 Real Exam Questions Test Engine Dumps Training With 430 Questions
Passing the Huawei H13-311_V3.5 exam is a great way to demonstrate your knowledge and skills in the field of AI and ML. HCIA-AI V3.5 certification is highly regarded by employers in the IT industry, and it can help you to advance your career and increase your earning potential. With the growing demand for AI and ML professionals in the IT industry, obtaining the HCIA-AI V3.5 certification can be a valuable asset to your career.
NEW QUESTION # 50
In May 1997, the famous "Human-Machine Wars" final computer defeated Kasparov, the world chess king, with a total score of 3.5 to 2 5. is this computer called?
- A. Dark blue
- B. Blue sky
- C. Dark green
- D. Ponder
Answer: A
NEW QUESTION # 51
The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?
- A. Minsky
- B. Von Neumann
- C. Zade
- D. Turing
Answer: D
NEW QUESTION # 52
The following does not belong TensorFlow2.0 Is characterized by?
- A. Multi-core CPU accelerate
- B. Multi-platform
- C. distributed
- D. multi-language
Answer: A
NEW QUESTION # 53
Artificial intelligence is the research and development of theories, methods and application systems used to simulate, extend and expand human intelligence Of a new technological science.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 54
Which of the following statements are true about decision trees?
- A. Building a decision tree means selecting feature attributes and determining their tree structure.
- B. The common decision tree algorithms include ID3, C4.5, and CART.
- C. A key step to building a decision tree involves dividing all feature attributes and comparing the purity of the division's result sets.
- D. Quantitative indicators of purity can only be obtained by using information entropy.
Answer: A,B,C
Explanation:
A . TRUE. The common decision tree algorithms include ID3, C4.5, and CART. These are the most widely used algorithms for decision tree generation.
B . FALSE. Purity in decision trees can be measured using multiple metrics, such as information gain, Gini index, and others, not just information entropy.
C . TRUE. Building a decision tree involves selecting the best features and determining their order in the tree structure to split the data effectively.
D . TRUE. One key step in decision tree generation is evaluating the purity of different splits (e.g., how well the split segregates the target variable) by comparing metrics like information gain or Gini index.
HCIA AI
Reference:
Machine Learning Overview: Covers decision tree algorithms and their use cases.
Deep Learning Overview: While this focuses on neural networks, it touches on how decision-making algorithms are used in structured data models.
NEW QUESTION # 55
The following options do not belong to the scope of Huawei's full-stack solution are?
- A. Chip enable
- B. Application enable
- C. Edge computing
- D. Open source framework
Answer: C
NEW QUESTION # 56
Which of the following is not part of the deep learning development framework?
- A. CNTK
- B. MXNet
- C. SAFA
- D. Keras
Answer: C
NEW QUESTION # 57
Which method is not supported in TensorFlow to define variables?
- A. Constant
- B. Calculated from the initial values of other variables
- C. null
- D. Random number
Answer: C
NEW QUESTION # 58
TensorFlow2.0 The methods that can be used for tensor merging are?
- A. join
- B. unstack
- C. split
- D. concat
Answer: D
NEW QUESTION # 59
The face detection service will report an error when there is no face in the test image.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 60
The following about the standard RNN Model, the correct statement is?
- A. There will be a problem of attenuation of long-term transmission and memory information
- B. There is no one-to-one model structure
- C. Do not consider the time direction when backpropagating
- D. There is no many-to-many model structure
Answer: A
NEW QUESTION # 61
With Atlas300 (3000)Install the accelerator card in the server DDK (Device Development Kit) Only need to install when dependent on the environment Python3.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 62
The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network.
The following statement about its impact is correct.:
- A. The number of hidden layers is appropriately reduced, the stronger the resolution ability of the neural network is
- B. The number of hidden layers increases appropriately, the weaker the resolution ability of the neural network
- C. Increase the number of hidden layers appropriately, the stronger the resolution ability of the neural network
- D. The number of hidden layers is appropriately reduced, and the resolution ability of the neural network remains unchanged
Answer: C
NEW QUESTION # 63
GAN is a deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years.
- A. False
- B. True
Answer: B
NEW QUESTION # 64
All kernels of the same convolutional layer in a convolutional neural network share a weight.
- A. TRUE
- B. FALSE
Answer: B
Explanation:
In a convolutional neural network (CNN), each kernel (also called a filter) in the same convolutional layer does not share weights with other kernels. Each kernel is independent and learns different weights during training to detect different features in the input data. For instance, one kernel might learn to detect edges, while another might detect textures.
However, the same kernel's weights are shared across all spatial positions it moves across the input feature map. This concept of weight sharing is what makes CNNs efficient and well-suited for tasks like image recognition.
Thus, the statement that all kernels share weights is false.
HCIA AI
Reference:
Deep Learning Overview: Detailed description of CNNs, focusing on kernel operations and weight sharing mechanisms within a single kernel, but not across different kernels.
NEW QUESTION # 65
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