Provide Valid H13-311_V3.5 Dumps To Help You Prepare For HCIA-AI V3.5 Exam Jul 10, 2025
Huawei H13-311_V3.5 Dumps Questions [2025] Pass for H13-311_V3.5 Exam
Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is a globally recognized certification that is highly regarded in the field of AI and machine learning. HCIA-AI V3.5 certification is designed to help professionals demonstrate their expertise in the field of AI and to stand out in a competitive job market. By earning this certification, you will gain a competitive advantage over other professionals and increase your chances of landing high-paying jobs in the field of AI and machine learning.
The HCIA-AI V3.5 exam is an excellent opportunity for professionals seeking to enhance their career prospects in the field of AI. HCIA-AI V3.5 certification provides a solid foundation in the latest trends and technologies related to AI, and it demonstrates the candidate's commitment to staying up-to-date with the latest developments in the field. HCIA-AI V3.5 certification is recognized globally by employers and organizations, making it an essential credential for anyone seeking to advance their AI career.
Huawei H13-311_V3.5 exam is a comprehensive exam that covers a wide range of topics related to AI and ML. H13-311_V3.5 exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete the exam. H13-311_V3.5 exam is available in English and Chinese, and candidates can take the exam at any of the Huawei Authorized Exam Centers around the world.
NEW QUESTION # 134
What people say about neural networks is wrong?
- A. The feedforward neural network can be represented by a directed acyclic graph
- B. As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakens
- C. The limitation of a single-layer perceptron is that it cannot solve the XOR problem
- D. There is no connection between neurons in the same layer of the feedforward neural network
Answer: B
NEW QUESTION # 135
Which of the following does not belong to the process for constructing a knowledge graph?
- A. Creating new concepts
- B. Data acquisition
- C. Determining the target domain of the knowledge graph
- D. Knowledge fusion
Answer: A
Explanation:
The process of constructing a knowledge graph typically involves several key steps:
A . Determining the target domain of the knowledge graph: This defines the scope and boundaries of the information to be represented.
B . Data acquisition: Involves gathering structured and unstructured data from various sources.
D . Knowledge fusion: This step involves integrating and reconciling data from multiple sources to create a consistent and coherent knowledge graph.
Creating new concepts is not typically part of the knowledge graph construction process. Instead, knowledge graphs usually focus on extracting, integrating, and structuring existing knowledge, not creating new concepts.
HCIA AI
Reference:
AI Development Framework: Describes the steps in constructing knowledge graphs, from data acquisition to knowledge fusion and domain determination.
NEW QUESTION # 136
The derivative of the Rectified Linear Unit (ReLU) activation function in the positive interval is always:
- A. 0
- B. 1
- C. 0.5
- D. Variable
Answer: A
Explanation:
The Rectified Linear Unit (ReLU) activation function is defined as f(x)=max(0,x)f(x) = \max(0, x)f(x)=max(0,x). In the positive interval, where x>0x > 0x>0, the derivative of ReLU is always 1. This makes ReLU popular for deep learning networks because it helps avoid the vanishing gradient problem during backpropagation, ensuring efficient gradient flow.
NEW QUESTION # 137
The following belongs to TensorFlow2.0 The characteristic is?
- A. Support static image mechanism
- B. Introduce Keras interface
- C. Support more platforms and more languages
- D. Continue to be compatible Tensorflowl.x Related modules
Answer: B,C,D
NEW QUESTION # 138
The loss function reflects the error between the target output and actual output of the neural network.
The commonly used loss function in deep learning is:
- A. Exponential loss function
- B. Log loss function
- C. Mean square loss function
- D. Hinge Loss function
Answer: C
NEW QUESTION # 139
The concept of "artificial intelligence" was first proposed in the year of:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
The concept of "artificial intelligence" was first formally introduced in 1956 during the Dartmouth Conference, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. This event is widely regarded as the birth of AI as a field of study. The conference aimed to explore the idea that human intelligence could be simulated by machines, laying the groundwork for subsequent AI research and development.
This date is significant in the history of AI because it marked the beginning of a concentrated effort to develop machines that could mimic cognitive functions such as learning, reasoning, and problem-solving.
NEW QUESTION # 140
Bagging In integrated learning, the relationship between each base learner is?
- A. The latter model must be built on top of the previous model
- B. relationship
- C. Independent
- D. Additive relationship
Answer: B
NEW QUESTION # 141
SVM What are the commonly used kernel functions in?
- A. Sigmiod Kernel function
- B. Linear kernel
- C. Polynomial kernel function
- D. Gaussian kernel function
Answer: A,B,C,D
NEW QUESTION # 142
The timestamps in the Python language- are represented by how long (in seconds) elapsed from midnight (epoch) on January 1, 1970
- A. True
- B. False
Answer: A
NEW QUESTION # 143
Which of the following are the topics of speech processing research?
- A. Voiceprint recognition
- B. Speech processing
- C. Wake up
- D. Speech Recognition
Answer: A,C,D
NEW QUESTION # 144
Which of the following is the computing model of TensorFlow?
- A. Conversation
- B. Calculation chart
- C. Tensor
- D. Variable
Answer: B
NEW QUESTION # 145
HUAWEI HiAI What are the supported models?
- A. glory V20
- B. iPhone10
- C. Mate 20
- D. P30
Answer: A,C,D
NEW QUESTION # 146
TensorFlow2.0 middle Keras The three main advantages of the interface are user-friendly, modular and Combination, easy to expand.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 147
Which of the following options belong to Tensorflow concept? (Multiple Choice)
- A. Conversation
- B. Operation
- C. Variables
- D. Tensor
- E. Placeholder
Answer: A,B,C,D,E
NEW QUESTION # 148
Reducing the gap between the training error and the test error will result in over-fitting How to prevent over-fitting? (Multiple Choice)
- A. Cross validation
- B. Integration method
- C. Increase regularization
- D. Feature Engineering
Answer: A,B,C,D
NEW QUESTION # 149
Which description is wrong about the lambda function of the Python language?
- A. lambda is just an expression, and the function body is much simpler than def.
- B. The lambda function can access the parameters in the global namespace.
- C. The body of a lambda can be an expression or a block of code
- D. The lambda function accepts only one parameter value
Answer: D
NEW QUESTION # 150
The perceptron can be displayed in space as?
- A. flat
- B. Hyperplane
- C. line
- D. point
Answer: B
NEW QUESTION # 151
Feedforward neural network is a simple neural network, each neuron is arranged hierarchically, it is currently one of the most widely used and fastest growing artificial neural networks. The following statement about feedforward neural networks is correct:
- A. Information only along-Pass through
- B. Connecting neurons in the same layer
- C. Its input node has computing power
- D. Neurons with computing power are connected to the upper and lower layers
Answer: A
NEW QUESTION # 152
Python is a fully object-oriented language.
Which of the following options belong to the Python object? (Multiple Choice)
- A. Number
- B. Module
- C. Character string
- D. Function
Answer: A,B,C,D
NEW QUESTION # 153
The image data of the passport recognition service is not needed base64 Coded.
- A. FALSE
- B. TRUE
Answer: A
NEW QUESTION # 154
Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide parallel computing capabilities.:
- A. Motherboard
- B. CPU
- C. GPU
- D. RAM
Answer: C
NEW QUESTION # 155
In order for a machine to be intelligent, it must be knowledgeable. Therefore, there is a research field in artificial intelligence. which mainly studies how computers automatically acquire knowledge and skills to achieve self-impr011emenL What is the branch of this research called?
- A. Neural Network
- B. Natural language processing
- C. Machine learning
- D. Expert system
Answer: C
NEW QUESTION # 156
In neural networks, weights are often shareD.
Which of the following neural networks will share weights?
- A. Recurrent neural network
- B. Fully connected neural network
- C. Convolutional Neural Network
- D. sensor
Answer: A,C
NEW QUESTION # 157
There are a lot of data generated during the training of the neural network. What mechanism does TensorFlow use to avoid excessive input data?
- A. fetch
- B. placeholder
- C. Client
- D. feed
Answer: B
NEW QUESTION # 158
Loss function and model function are the same thing.
- A. FALSE
- B. TRUE
Answer: A
NEW QUESTION # 159
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