Huawei H13-311_V3.5 Exam Dumps - PDF Questions and Testing Engine
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The Huawei H13-311_V3.5 exam covers a wide range of topics related to AI, including machine learning, deep learning, natural language processing, computer vision, and more. It is designed to assess a candidate's ability to apply these concepts to real-world scenarios and solve complex problems using AI techniques. By passing H13-311_V3.5 exam, candidates can demonstrate their expertise in AI and gain recognition for their skills.
NEW QUESTION # 121
Which of the following is not a module in the Tensorflow library?
- A. tf.contrib
- B. tf.nn
- C. tf boost
- D. tf. layers
Answer: C
NEW QUESTION # 122
Regarding backpropagation, the following statement is wrong?
- A. Backpropagation can be combined with gradient descent algorithm to update network weights
- B. Backpropagation passes through the activation function
- C. Backpropagation can only be used in feedforward neural networks
- D. Back propagation refers to the back propagation of errors through the network
Answer: C
NEW QUESTION # 123
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 # 124
The Python list can be identified by `[]", and the default index of the first element from left to right is 1.
- A. False
- B. True
Answer: A
NEW QUESTION # 125
Tensor Yes MindSpore The storage component of the data.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 126
The following about KNN Algorithm k The value description is correct?
- A. can k Value is set to 0
- B. K The larger the value, the easier the model is to overfit
- C. K Value is a hyperparameter
- D. K The larger the value, the smoother the segmentation surface of the classification
Answer: C,D
NEW QUESTION # 127
In deep learning tasks, when encountering data imbalance problems, which of the following methods can we use to solve the problem?
- A. Random undersampling
- B. Synthetic sampling
- C. Random oversampling
- D. batch deletion
Answer: A,B,C
NEW QUESTION # 128
For the image classification problem, which of the following neural networks is more suitable to solve this problem?
- A. Recurrent neural network
- B. sensor
- C. Fully connected neural network
- D. Convolutional Neural Network
Answer: D
NEW QUESTION # 129
What are the commonly used activation functions? (Multiple Choice)
- A. tanh
- B. sigmoid
- C. relu
- D. danish
Answer: A,B,C
NEW QUESTION # 130
The following about the general form identification service returned type The field statement is correct?
- A. type Representative form type
- B. type Representative text recognition area type
- C. type for text Time represents the text recognition area
- D. type for table Time represents the form recognition area
Answer: C,D
NEW QUESTION # 131
Among the machine learning algorithms, the following is not an integrated learning strategy?
- A. Bagging
- B. Boosting
- C. Marking
- D. Stacking
Answer: C
NEW QUESTION # 132
Which method is not supported in TensorFlow to define variables?
- A. Calculated from the initial values of other variables
- B. null
- C. Random number
- D. Constant
Answer: B
NEW QUESTION # 133
Artificial intelligence is currently suitable for scenarios with I' known environment, clear objectives, and predictable action ? Deep learning in the fields of image recognition, speech recognition, translation, etc , artificial intelligence basically has human recognition ability. even surpassing human beings Based on these capabilities. it has been applied to many scenes such as medical care and public safety However, there is still a lack of reasoning and cognition
- A. False
- B. True
Answer: B
NEW QUESTION # 134
In the gradient descent algorithm, which of the following algorithms is the most confusing algorithm for the trajectory on the loss function surface?
- A. SGD
- B. BGD
- C. MBGD
- D. MGD
Answer: A
NEW QUESTION # 135
On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the accelerator occupancy rate.
On-Device The following description is wrong?
- A. MindSpore Realize decentralized autonomy through adaptive graph optimization driven by gradient data A11 Reduce, Gradient aggregation is in step, and calculation and communication are fully streamlined
- B. Challenges of model execution under super chip computing power: Memory wall problems, high interaction overhead, and difficulty in data supply. Partly in Host Executed, partly in Device Execution, interaction overhead is even much greater than execution overhead, resulting in low accelerator occupancy
- C. MindSpore Through the chip-oriented depth map optimization technology, the synchronization wait is less, and the "data computing communication" is maximized. The parallelism of "trust", compared with training performance Host Side view scheduling method is flat
- D. The challenge of distributed gradient aggregation under super chip computing power:ReslNet50 Single iteration 20ms Time will be generated The synchronization overhead of heart control and the communication overhead of frequent synchronization. Traditional methods require 3 Synchronization completed A11 Reduce, Data-driven method autonomy A11 Reduce, No control overhead
Answer: C
NEW QUESTION # 136
In the environment preparation for invoking HUAWEI CLOUD services, which of the following does not require confirmation of installation?
- A. websocket-client
- B. Jieba
- C. requests
- D. setuptools
Answer: B
NEW QUESTION # 137
Which of the following options is not the- session mode used by Tensorflow?
- A. Multiple POST queries
- B. Through the Python context manager
- C. Explicitly call the session to close function
- D. Explicitly call the session to generate function
Answer: A
NEW QUESTION # 138
Which of the following libraries are installed Atlas300 (3000) Install the accelerator card in the server DDK (Device Development Kit) What needs to be installed before?
- A. tensorflow
- B. numpy
- C. setuptools
- D. decorator
Answer: B,C,D
NEW QUESTION # 139
What people say about neural networks is wrong?
- A. The feedforward neural network can be represented by a directed acyclic graph
- B. There is no connection between neurons in the same layer of the feedforward neural network
- C. As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakens
- D. The limitation of a single-layer perceptron is that it cannot solve the XOR problem
Answer: C
NEW QUESTION # 140
Where should the labeled data be placed in the confrontation generation network?
- A. As input value for generative model
- B. As the output value of the discriminant model
- C. As the output value of the generated model
- D. As the input value of the discriminant model
Answer: D
NEW QUESTION # 141
Atlas accelerate AI What processor is used for inference?
- A. Different 310 processor
- B. GPU
- C. Different 910 processor
- D. FPGA
Answer: A
NEW QUESTION # 142
In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur.
Strictly speaking, in which of the following links does the sample disappearance problem occur?
- A. Forward calculation results
- B. Forward the dream and update
- C. Backpropagation update parameters
- D. Backpropagation calculation result
Answer: C
NEW QUESTION # 143
Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?
- A. The entire training set will be trained 5 Times
- B. The entire training set will be divided into 6 Share
- C. The entire training set will be divided into 5 Share
- D. The entire test set will be tested 5 Times
Answer: A
NEW QUESTION # 144
If a model has a large deviation on the test set and a small variance, it means that the model?
- A. May be overfitting may be underfitting
- B. Underfitting
- C. Just fit
- D. Overfitting
Answer: B
NEW QUESTION # 145
Huawei Ascend AI Chip is NPU (Neural network processor) One of the typical representatives.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 146
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