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Huawei H13-231-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: GaussDB and Data Technologies | 10% | - Database Technologies
|
| Topic 2: Operations, Maintenance and Troubleshooting | 5% | - O&M and Fault Handling
|
| Topic 3: Ascend AI Computing Architecture | 15% | - Ascend AI Platform
|
| Topic 4: openEuler Operating System | 10% | - Operating System Technologies
|
| Topic 5: Intelligent Computing Solution Design | 15% | - Solution Planning and Design
|
| Topic 6: Intelligent Computing Industry and Architecture | 10% | - Industry Development and Trends
|
| Topic 7: AI Development Frameworks | 10% | - AI Software Ecosystem
|
| Topic 8: Cloud Native and Container Technologies | 10% | - Cloud Native Platforms
|
| Topic 9: Kunpeng Computing Architecture | 15% | - Kunpeng Processor and Platform
|
Huawei HCIE-Intelligent Computing V1.0 Sample Questions:
Question 1
Which of the following statement about the CISC instruction set is wrong?
A. Both the CISC instruction set and the RISC instruction set are von Neumann structures.
B. The instruction system is huge, with many instruction formats and addressing modes
C. About 20% of the instructions in the CISC command system account for 80% of the processing time
D. CISC microprocessor has a complex structure, powerful functions, and easy realization of special functions.
Question 2
With the vigorous development of cloud computing, people's flexible demand for mobile devices has promoted the development of cloud phones, providing a unified base for the cloudification of mobile applications. Which of the following does not belong to the business type of Huawei TaiShan Native?
A. Hosted
B. Independent
C. Game type
D. Office type
Question 3
Hot spare means that when a hard disk in a redundant RAID group fails, without interfering with the normal use of the current RAID system, another normal spare hard disk in the RAID system is used to automatically replace the failed hard disk to ensure the RAID system in time the redundancy.
A. True
B. False
Question 4
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
Question 5
Hardware resource pooling is the future evolution trend of server hardware. Which of the following is not its advantage?
A. Single system runs independently and efficiently.
B. Realize intelligent scheduling and optimization
C. Dynamic resource allocation
D. Resource decoupling
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: C,D | Question 5 Answer: A |






