Huawei H13-321_V2.0 Practice Exams
Last updated on Oct 24,2026- Exam Code: H13-321_V2.0
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Oct 24,2026
The goal of artificial intelligence is to make computers as smart as humans.
- A . True
- B . False
N-gram is defined as N keywords grouped together. How many triple phrases can be generated from a given sentence?
[Analytics Vidhya is a great source to learn data science].
- A . 6
- B . 7
- C . 8
- D . 9
Which of the following is not an advantage of the ReLU series of activation functions over the Sigmoid and Tanh activation functions?
- A . The unilateral inhibition of ReLU provides the sparse expression ability of the network.
- B . The non-saturation of ReLU can effectively solve the problem of gradient disappearance and provide a relatively wide activation boundary.
- C . ReLU can cause neuron death during its training process.
- D . From a computational perspective, both Sigmoid and Tanh activation functions require exponential calculations and are highly complex, while ReLU only requires a threshold to obtain an activation value.
What layer is the Softmax function mainly used for?
- A . Input layer
- B . Hidden Layer
- C . Output layer
Which of the following scientists created the Lisp programming language?
- A . Alan Turing
- B . Kilfond Shannon
- C . Marvin Minsky
- D . John McCarthy
The XOR problem refers to the prediction of an output obtained through an XOR logic gate for two given binary inputs. When the inputs are not equal, the output is 1, otherwise the output is 0. ()
- A . True
- B . False
Which of the following is an inference server provided by Shengteng Computing to its customers and partners?
- A . Atlas 800 model
- B . Atlas 300 model
- C . Atlas 800 model
- D . Atlas 800 model
Which of the following neural networks contains feedback connections?
- A . Convolutional Neural Network
- B . Recurrent Neural Network
- C . Convolutional Generation Network
- D . Deep Belief Network
When calling the speech synthesis SDK, ttsc_request.set_sample_rate plays the role of setting ().
In image preprocessing, the function of () is to remove noise, etc.