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Detailed New H13-311_V3.5 Exam Questions for Concept Clearance
Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is an important certification for IT professionals who want to advance their careers in the field of Artificial Intelligence. HCIA-AI V3.5 certification is recognized worldwide and is highly valued by employers in the IT industry. By passing H13-311_V3.5 exam, candidates demonstrate their proficiency in AI technologies and their ability to implement AI solutions using Huawei's AI development platform, ModelArts.
NEW QUESTION # 178
What are the conditions for m row n column matrix A and p row q column matrix B to be multiplied?
- A. n=p
- B. p=q
- C. m=p. n=q
- D. m=n
Answer: A
NEW QUESTION # 179
AI inference chips need to be optimized and are thus more complex than those used for training.
- A. FALSE
- B. TRUE
Answer: A
Explanation:
AI inference chips are generally simpler than training chips because inference involves running a trained model on new data, which requires fewer computations compared to the training phase. Training chips need to perform more complex tasks like backpropagation, gradient calculations, and frequent parameter updates. Inference, on the other hand, mostly involves forward pass computations, making inference chips optimized for speed and efficiency but not necessarily more complex than training chips.
Thus, the statement is false because inference chips are optimized for simpler tasks compared to training chips.
HCIA AI
Reference:
Cutting-edge AI Applications: Describes the difference between AI inference and training chips, focusing on their respective optimizations.
Deep Learning Overview: Explains the distinction between the processes of training and inference, and how hardware is optimized accordingly.
NEW QUESTION # 180
According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided?
- A. Intrusion recognition scheme
- B. Policy query scheme based on knowledge graph
- C. Vehicle identification scheme
- D. Crowd statistics program
Answer: A,B,C,D
NEW QUESTION # 181
Which of the following is not included in the recurrent neural network usage scenario?
- A. Machine translation
- B. Speech recognition
- C. Text generation
- D. Image style migration
Answer: D
NEW QUESTION # 182
The main computing resources included in the Da Vinci architecture computing unit are?
- A. Matrix calculation unit
- B. Scalar Computing Unit
- C. Vector calculation unit
- D. Tensor computing unit
Answer: A,B,C
NEW QUESTION # 183
Which of the following schools does the neural network study belong to?
- A. None of the above
- B. Symbolism
- C. Connectionism
- D. Behaviorism
Answer: C
NEW QUESTION # 184
According to the development process of the robot, it is usually divided into three generations, respectively are: (Multiple Choice)
- A. Teaching Reproduction Robot
- B. Robot with sensation
- C. Robots that will think
- D. Intelligent robot
Answer: A,B,D
NEW QUESTION # 185
What is the most important difference between batch gradient descent, mini-batch gradient descent, and stochastic gradient descent?
- A. Gradient direction
- B. Gradient size
- C. Number of samples used
- D. Learning rate
Answer: C
NEW QUESTION # 186
When you use MindSpore to execute the following code, which of the following is the output?
from mindspore import ops
import mindspore
shape = (2, 2)
ones = ops.Ones()
output = ones(shape, dtype=mindspore.float32)
print(output)
- A. [[1. 1.]
[1. 1.]] - B. [[1. 1.
1. 1.]] - C. 0
- D. [[1 1]
[1 1]]
Answer: A
Explanation:
In MindSpore, using ops.Ones() with a specified shape and dtype=mindspore.float32 will create a tensor of ones with floating-point values. The output will be a 2x2 matrix filled with 1.0 values. The floating-point format (with a decimal point) ensures that the output is in the form of [[1. 1.], [1. 1.]].
NEW QUESTION # 187
Grid search is a method of parameter adjustment.
- A. FALSE
- B. TRUE
Answer: A
NEW QUESTION # 188
Traffic agent can achieve () Hour full time/Global traffic awareness?
- A. 5?4
- B. 7?2
- C. 5?2
- D. 7?4
Answer: D
NEW QUESTION # 189
What are the algorithms supported by Tensorflow? (Multiple Choice}
- A. HUT
- B. RNN (Rig ht Answers)
- C. ZNN
- D. GNN
Answer: B,D
NEW QUESTION # 190
Which of the following are AI Application areas?
- A. Wisdom education
- B. Smart medical
- C. Smart City
- D. Smart home
Answer: A,B,C,D
NEW QUESTION # 191
PyTorch Which of the following functions does not have?
- A. Automatic derivative
- B. Inline keras
- C. GPU accelerate
- D. Support dynamic graph
Answer: B
NEW QUESTION # 192
Nesterov is a variant of the momentum optimizer.
- A. FALSE
- B. TRUE
Answer: B
Explanation:
Nesterov Accelerated Gradient (NAG) is indeed a variant of the momentum optimizer. In the traditional momentum method, the gradient is used to adjust the direction based on the current momentum. Nesterov, on the other hand, anticipates the change in the momentum by calculating the gradient at a slightly altered position. This small adjustment leads to better convergence and more efficient optimization, especially in non-convex problems.
Momentum methods and their variants like Nesterov are commonly discussed in the optimization strategies for neural networks, including frameworks such as TensorFlow, which is covered in Huawei's HCIA AI courses.
HCIA AI
Reference:
Deep Learning Overview: Discussion of optimization algorithms, including gradient descent variants like Momentum and Nesterov.
AI Development Framework: Explains the use of Nesterov in deep learning frameworks such as TensorFlow and PyTorch.
NEW QUESTION # 193
As the following, what are the Python language design philosophy? (Multiple Choice)
- A. Beautiful
- B. Explicit
- C. Simple
- D. Expensive
Answer: A,B,C
NEW QUESTION # 194
When using the following code to construct a neural network, MindSpore can inherit the Cell class and rewrite the __init__ and construct methods.
- A. FALSE
- B. TRUE
Answer: B
Explanation:
In MindSpore, the neural network structure is defined by inheriting the Cell class, which represents a computational node or a layer in the network. Users can customize the network by overriding the __init__ method (for initializing layers) and the construct method (for defining the forward pass of the network). This modular design allows for easy and flexible neural network construction.
Thus, the statement is true because MindSpore's framework allows developers to build neural networks by extending the Cell class and defining custom behavior through the __init__ and construct methods.
HCIA AI
Reference:
AI Development Framework: Detailed coverage of building neural networks in MindSpore, including how to inherit from the Cell class and rewrite key methods for custom network architecture.
NEW QUESTION # 195
Which of the following about the description of the number of rows and columns for the determinant is correct?
- A. The number of rows 1s greater than the number of columns
- B. The number of rows 1s equal lo the number of columns
- C. The number of rows is less than the number of columns
- D. The number of rows has no relationship with the number of columns.
Answer: B
NEW QUESTION # 196
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. Turing
- B. Von Neumann
- C. Minsky
- D. Zade
Answer: A
NEW QUESTION # 197
What are the commonly used gradient descent optimization functions? (Multiple Choice)
- A. Adagrad
- B. Random gradient descent
- C. RMSProp
- D. Adadelta
- E. momentum
Answer: A,B,C,D,E
NEW QUESTION # 198
How many spaces does PEP 8 stipulate that Python's first fine indentation needs to indent?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION # 199
The pooling layer in the convolutional neural network can reduce the size of the lower layer input.
Common pooling is:
- A. Maximum pooling layer
- B. Average pooling layer
- C. Minimum strata
- D. Product pooling layer
Answer: A,B
NEW QUESTION # 200
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Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is a professional certification exam offered by Huawei, which is designed to validate the knowledge and skills of individuals who want to work in the field of Artificial Intelligence. HCIA-AI V3.5 certification exam is designed for individuals who have a good understanding of Python programming language, machine learning algorithms, and deep learning concepts. Candidates who pass this certification exam will be able to demonstrate their ability to design, implement, and troubleshoot AI solutions using Huawei's AI products and technologies.
H13-311_V3.5 2024 Training With 430 QA's: https://www.actualtests4sure.com/H13-311_V3.5-test-questions.html
