Huawei H13-323_V1.0 Practice Exams
Last updated on Oct 22,2026- Exam Code: H13-323_V1.0
- Exam Name: HCIP-AI Solution Architect V1.0
- Certification Provider: Huawei
- Latest update: Oct 22,2026
Which of the following factors affect the model reasoning speed? (Multiple choice)
- A . FLOPS (total addition and multiplication operations of the model)
- B . MAC (memory access cost)
- C . Parallelism (the higher the parallelism of the operation during model inference, the faster the speed)
- D . Computing platform (NPU, GPU, CPU, etc.)
What challenges need to be overcome in the development of general artificial intelligence? (Multiple choice)
- A . Security issues
- B . Data Privacy Issues
- C . Ethical issues
- D . User interface design
After the model is trained, it is generally necessary to compress and quantize the model before deploying it as a service and performing inference. Under the premise that the data meets the accuracy required by the model, the model’s reference amount can be reduced. Which of the following tools is mainly used to compress large models and accelerate inference?
- A . Mindspore
- B . MindPet
- C . MindFormers
- D . ModelSlim
The development of artificial intelligence has a significant impact on which of the following fields?
- A . Finance
- B . Travel
- C . Environmental protection
- D . All of the above
Softmax function is often selected as the output layer of multi-classification tasks
- A . True
- B . False
One advantage of large models is the ability to handle multimodal data.
- A . True
- B . False
Which of the following are related technologies for Transformer structure selection? (Multiple choice)
- A . Feedforward Neural Network
- B . Normalization
- C . Residual Block
- D . Self-Attention
Huawei Cloud EI intelligent entities have many types according to different industries and application scenarios. What are the currently available Huawei Cloud EI intelligent entities? (Multiple choice)
- A . Industrial Intelligence
- B . Traffic Agent
- C . Park Intelligence
What are the benefits of word vector technology? (Multiple choice)
- A . Reduce data sparsity
- B . Provide semantic similarity
- C . Predicting Unseen Words
- D . Convert words into one-dimensional vectors
Few-Shot-Cot does not add examples but only adds a classic line of "Let’s think step by step" to the instructions
- A . True
- B . False