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
When fine-tuning MindFormers with low parameters, you need to confirm that only trainable params in the configuration file paralell context config is False to obtain the complete strategy for all parameters
- A . True
- B . False
Which of the following AI models does not belong to the Jiutian Zhongqing base model?
- A . Kimono
- B . Government Affairs
- C . Transportation
- D . Game Development
An artificial neural network is an information processing system designed to mimic the structure and function of the human brain.
- A . True
- B . False
What is the fitting surface of linear regression in dimensions above 3?
- A . Behind
- B . Plane
- C . Hyperplane
- D . Behind
Jobs that are repetitive and require weak social skills are easily replaced by AI.
- A . True
- B . False
Which of the following is correct about Python IO operations? (Multiple choice)
- A . In r mode, you can use the write method to write data to a file
- B . You can use the context manager to open the file for operation
- C . Use the close method to close the file after the file operation is completed
- D . Use the flush method to write data into memory
Instruction Tuning refers to constructing instances of instruction format and then fine-tuning large language models in an unsupervised manner.
- A . True
- B . False
If the accuracy of the model on the training set is very high, but the accuracy on the validation set is very low, what methods can be used to improve the model? (Multiple choice)
- A . Early stopping
- B . Dropout Method
- C . Add a regularization term after the loss function
- D . Increase the amount of training data
What is the correct statement about the construction method of China Mobile Al+X? (Multiple choice)
- A . Base model driver
- B . Single-level construction
- C . Top-level design driver
- D . Infinite task construction
TensorFlow is an end-to-end open source platform for machine learning and deep learning.
- A . True
- B . False