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Huawei H13-311_V3.5 (HCIA-AI V3.5) certification exam is suitable for AI professionals, developers, and engineers who want to validate their skills in AI technologies. HCIA-AI V3.5 certification exam is also suitable for individuals who want to transition into a career in AI or for those who want to broaden their knowledge and skills in AI technologies. H13-311_V3.5 exam has no prerequisites, but candidates are recommended to have a basic understanding of AI and programming concepts before attempting the exam.
NEW QUESTION # 162
Only matrix A and matrix B have the same number of rows and columns. A and B can be added.
- A. False
- B. True
Answer: B
NEW QUESTION # 163
Python tuples are identified by "()'' and internal elements are separated by ":".
- A. True
- B. False
Answer: B
NEW QUESTION # 164
Where should the labeled data be placed in the confrontation generation network?
- A. As the output value of the discriminant model
- B. As the output value of the generated model
- C. As the input value of the discriminant model
- D. As input value for generative model
Answer: C
NEW QUESTION # 165
Huawei Cloud El builds enterprise intelligence services based on three-tier services. Which of the following options does not belong to Layer 3 services?
- A. General domain services
- B. Basic platform services
- C. Integration services
- D. Industry sector services
Answer: C
NEW QUESTION # 166
From the labeled historical data, we can predict that the retail sales of the next quarter will be in
20-30 Wan still 30-40 Ten thousand", What is the problem?
- A. Clustering problem
- B. Classification problem
- C. Rule problem
- D. Regression problem
Answer: B
NEW QUESTION # 167
The following description of machine learning is correct?
- A. Deep learning is a branch of machine learning
- B. Deep learning and machine learning are mutually inclusive
- C. None of the above
- D. Deep learning and machine learning are both artificial intelligence but have no relationship to each other
Answer: A
NEW QUESTION # 168
Recurrent neural network is different from convolutional neural network, it is better at solving the following problems?
- A. Sequence related issues
- B. Recommended question
- C. Image classification
- D. Image detection
Answer: A
NEW QUESTION # 169
Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular.
The technology is:
- A. L2 Regularization
- B. Dropout
- C. Momentum optimizer
- D. L1 Regularization
Answer: A,B,D
NEW QUESTION # 170
Jobs that are repetitive and require weak social skills are the easiest to be AI Replaced work.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 171
After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?
- A. Data cleaning
- B. Decision tree generation
- C. Pruning
- D. Feature selection
Answer: A
NEW QUESTION # 172
Convolutional neural networks are more suitable for image recognition problems than cyclic neural networks.
- A. False
- B. True
Answer: B
NEW QUESTION # 173
Atlas 800 AI There are multiple models of servers, of which the one based on the Kunpeng processor platform is?
- A. Atlas 800 model: 3010
- B. Atlas 800 model: 9000
- C. Atlas 800 model: 3000
Answer: C
NEW QUESTION # 174
Which of the following are use cases of generative adversarial networks?
- A. Generating images from text
- B. Photo repair
- C. Generating face images
- D. Generating a 3D model from a 2D image
Answer: A,B,C,D
Explanation:
Generative Adversarial Networks (GANs) are widely used in several creative and image generation tasks, including:
A . Photo repair: GANs can be used to restore missing or damaged parts of images.
B . Generating face images: GANs are known for their ability to generate realistic face images.
C . Generating a 3D model from a 2D image: GANs can be used in applications where 2D images are converted into 3D models.
D . Generating images from text: GANs can also generate images based on text descriptions, as seen in tasks like text-to-image synthesis.
All of the provided options are valid use cases of GANs.
HCIA AI
Reference:
Deep Learning Overview: Discusses the architecture and use cases of GANs, including applications in image generation and creative content.
AI Development Framework: Covers the role of GANs in various generative tasks across industries.
NEW QUESTION # 175
Python script execution mode includes interactive mode and script mode
- A. False
- B. True
Answer: B
NEW QUESTION # 176
AI Chip is also called AI Accelerators are specially designed to handle a large number of computing tasks in artificial intelligence applications functional module.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 177
Where is the main foothold of symbolism?
- A. The foothold is behavior control, adaptive and evolutionary computing.
- B. The foothold is in neuron networks and deep learning.
- C. The foothold is reasoning, symbolic reasoning and machine reasoning.
- D. The foothold is perception and action.
Answer: C
NEW QUESTION # 178
GBDT Compared with the random forest algorithm, which of the following statements is wrong?
- A. GBDT Algorithm is easier to overfit than random forest
- B. GBDT And random forest are built on CART Based on the tree
- C. GBDT Algorithm is easier to underfit than random forest
- D. Random forest is calculated in parallel, while GBDT Can't
Answer: A
NEW QUESTION # 179
Which of the following are the cloud services provided by Huawei Cloud El Visual Cognition?
(Multiple choice)
- A. Image processing
- B. Content detection
- C. Text recognition
- D. Image recognition
- E. Face recognition
Answer: A,B,C,D,E
NEW QUESTION # 180
Which of the following are callback options provided by MindSpore?
- A. SummaryCollector
- B. LossMonitor
- C. ModelCheckpoint
- D. TrainStep
Answer: A,B,C
Explanation:
MindSpore provides several callback functions that can be used to monitor, modify, or control the behavior of the training process. These include:
SummaryCollector: Collects summaries such as loss and accuracy for visualization and monitoring.
ModelCheckpoint: Saves model parameters during or after training.
LossMonitor: Monitors the loss values during training and can stop training if certain conditions are met.
TrainStep is not a callback but rather a fundamental step in training.
NEW QUESTION # 181
The pooling layer in the convolutional neural network can reduce the size of the lower layer input.
Common pooling is:
- A. Average pooling layer
- B. Maximum pooling layer
- C. Product pooling layer
- D. Minimum strata
Answer: A,B
NEW QUESTION # 182
Atlas accelerate AI What processor is used for inference?
- A. GPU
- B. Different 310 processor
- C. FPGA
- D. Different 910 processor
Answer: B
NEW QUESTION # 183
What are the service categories included in Huawei Cloud El Enterprise Intelligence? (Multiple Choice)
- A. El industry scene
- B. El online games
- C. El visual cognition
- D. El speech semantics
Answer: A,C,D
NEW QUESTION # 184
Regarding backpropagation, the following statement is wrong?
- A. Backpropagation can only be used in feedforward neural networks
- B. Back propagation refers to the back propagation of errors through the network
- C. Backpropagation can be combined with gradient descent algorithm to update network weights
- D. Backpropagation passes through the activation function
Answer: A
NEW QUESTION # 185
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