Top Huawei H13-311_V3.0 Courses Online - Updated [Jul-2023]
H13-311_V3.0 Practice Dumps - Verified By ValidTorrent Updated 370 Questions
The Huawei H13-311_V3.0 exam consists of 60 multiple-choice questions that must be completed within a time limit of 90 minutes. To pass the exam, candidates must achieve a score of at least 600 out of 1000. H13-311_V3.0 exam is available in both English and Chinese languages.
Huawei, the global technology leader, has introduced a new certification exam for individuals looking to enhance their AI skills: the Huawei H13-311_V3.0 (HCIA-AI V3.0) Certification Exam. H13-311_V3.0 exam is designed to assess the knowledge and skills of individuals in various AI technologies, including machine learning, deep learning, and neural networks.
NEW QUESTION # 162
Deep learning is different from machine learning and there are no unsupervised algorithms
- A. True
- B. False
Answer: B
NEW QUESTION # 163
Training error will reduce the accuracy of the model, resulting in under-fitting, how to improve the model fit at this time?
- A. reduce regularization parameter
- B. increase the amount of data
- C. increase features
- D. feature engineering
Answer: B,C,D
NEW QUESTION # 164
Which of the following are cloud services provided by Huawei Cloud EI Visual Cognition?
- A. image recognition
- B. image processing
- C. face recognition
- D. text recognition
- E. content detection
Answer: A,B,C,D,E
NEW QUESTION # 165
Python script execution mode includes interactive mode and script mode
- A. True
- B. False
Answer: A
NEW QUESTION # 166
What does not belong to supervised learning?
- A. Decision tree
- B. Support vector machine
- C. Logistic regression
- D. Princi1pal component analysis
Answer: D
NEW QUESTION # 167
Traditional machine learning and deep learning are the core technologies of artificial intelligence. There is a slight difference in the engineering process. The following steps. What you don't need to do in deep learning is:
- A. Data cleaning
- B. Model evaluation
- C. Feature engineering
- D. Model building
Answer: C
NEW QUESTION # 168
When training the network, we often encounter many problems. For the problem of gradient disappearance, we can alleviate the problem by choosing which of the following functions to use?
- A. Sigmoid function
- B. Softsign function
- C. Relu function
- D. tanh function
Answer: C
NEW QUESTION # 169
TensorFlow It is an end-to-end open source platform for machine learning and deep learning.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 170
Which method is not supported to define variables in TensorFlow?
- A. is calculated from the initial values of other variables
- B. null
- C. constant
- D. random number
Answer: B
NEW QUESTION # 171
Huawei Ascend AI Chip is NPU (Neural network processor) One of the typical representatives.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 172
Through deep learning, it is easy to derive simple mathematical functions from a large amount of high-dimensional data to describe complex decision interfaces.
- A. True
- B. False
Answer: A
NEW QUESTION # 173
There are many types of neural networks in deep learning. The following neural network information is one-way propagation:
- A. Recurrent neural network
- B. LSTM
- C. Convolutional Neural Network
- D. GRU
Answer: C
NEW QUESTION # 174
On the premise of ensuring data privacy and security, federated learning utilizes different data sources to cooperatively train models to improve breakthroughs in data bottlenecks.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 175
What is not the optimization method in deep learning?
- A. Random gradient descent
- B. Principal component analysis
- C. Momentum
- D. Back propagation algorithm
Answer: B
NEW QUESTION # 176
The activation function plays an important role in the neural network model learning and understanding of very complex problems. The following statement about the activation function is correct.
- A. Activation functions are non-linear functions
- B. Most of the activation functions are nonlinear functions, and a few are linear functions
- C. The activation function is partly a nonlinear function, partly a linear function
- D. Activation functions are linear functions
Answer: A
NEW QUESTION # 177
The factors that promote the development of artificial intelligence do not include?
- A. computing power
- B. algorithm theory
- C. big data
- D. blockchain
Answer: D
NEW QUESTION # 178
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