Huawei HCIE-Intelligent Computing V1.0 : H13-231-ENU

  • Exam Code: H13-231-ENU
  • Exam Name: HCIE-Intelligent Computing V1.0
  • Updated: Aug 13, 2026
  • Q&As: 325 Questions and Answers

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Huawei H13-231-ENU Exam Syllabus Topics:

SectionObjectives
Operation and Maintenance- System monitoring and performance tuning
- Fault diagnosis and troubleshooting
Intelligent Computing Fundamentals- AI and computing infrastructure overview
- Basic principles of intelligent computing systems
Security and Reliability- Data protection and security mechanisms
- High availability and disaster recovery
Intelligent Computing Architecture- Compute, storage, and network architecture
- Heterogeneous computing and acceleration technologies
AI Platform and Deployment- Resource scheduling and orchestration
- AI model deployment workflows

Huawei HCIE-Intelligent Computing V1.0 Sample Questions:

1. GPU is widely used in the field of machine learning because of the SMD (single instruction multiple data, single instruction multiple data) architecture, while FPGAs are widely used in data acquisition and digital signal processing. Which of the following statements about FPGA and GPU are correct? (Multiple choice)

A) The CPU has fewer execution units and can only process instructions in a single thread
B) After the GPU leaves the factory, the program can be changed again according to the needs of the computer
C) FPGA can program hardware according to specific application
D) GPU is suitable for batch data parallel computing


2. Which of the following is not classified according to the network card structure type?

A) IB network card
B) Integrated network card
C) MEZZ card
D) Flexible card


3. MIPS is based on RICS technology, coupled with the scalable hardware and software design in the MIPS architecture, makes the MIPS solution ARM's similar solutions have higher performance and lower power consumption.

A) False
B) True


4. Huawei Atlas 800 deep learning system lowers the technical threshold for using AI, allowing customers to focus more on the business itself so that the AI business can be quickly developed and launched. Which of the following deep learning frameworks is currently not supported?

A) Hard
B) Tensorflow
C) PyTorch
D) MXNel


5. ARM microprocessors have been popularized in industrial control, consumer electronics, communication systems, network systems, wireless systems and other product markets. Which of the following descriptions of the characteristics of the ARM architecture is wrong?

A) It supports 16-bit, 32-bit, and 64-bit multiple instruction sets, and is well compatible with various application scenarios from OT, terminal to cloud.
B) Adopt a complex instruction set. High processing efficiency
C) A large number of registers are used, and most data operations are completed in the registers, and the instruction execution speed is faster.
D) The same function and performance occupy a small chip area, low power consumption, higher integration, and more hardware CPU cores.


Solutions:

Question # 1
Answer: C,D
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: B

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