Huawei H13-321_V2.0 Practice Exams
Last updated on Oct 23,2026- Exam Code: H13-321_V2.0
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Oct 23,2026
A neural network can simulate any polynomial function as long as it has a hidden layer and an output layer and as long as the input data is sufficient.
- A . True
- B . False
The v component of the HSV color space and the Y component of the YUV color space both represent the brightness of the image and can be separated as the result of grayscale conversion of the color image.
- A . True
- B . False
Which of the following descriptions about probability and likelihood is correct? (Multiple choice)
- A . If the random variable X follows a certain distribution, the likelihood refers to the authenticity of a set of parameters under the condition that X=x.
- B . If the random variable X follows a certain distribution, the probability refers to the possibility that X=x under given parameters.
- C . If the random variable X follows a certain distribution, the likelihood refers to the possibility that X=x under given parameters.
- D . If the random variable X follows a certain distribution, the probability refers to the authenticity of a set of parameters under the condition that X=x.
What is the role of ModelArts development environment?
- A . Training
- B . Prediction
- C . Code Prediction
- D . Data preparation
ModelArts model training process
Which of the following is not a NLP language feature?
- A . Contextual word features
- B . Text Features
- C . Texture features
- D . Single word features
During a training, the ReLU neuron cannot be activated on all training data. We call this the dead ReLu problem.
- A . True
- B . False
Which of the following options is not a feature of ModelArts?
- A . Support Tensorflow and Pytorch
- B . Support model management
- C . Support automatic tuning
- D . Multiple built-in models
Maximum likelihood estimation can be used to estimate parameters of Gaussian mixture models.
- A . True
- B . False
What are the preset models supported by ModelArts? (Multiple choice)
- A . Image Classification
- B . Image Detection
- C . Gene sequencing
- D . Image Segmentation