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Huawei HCIE-Intelligent Computing V1.0 Sample Questions:

1. Memory is one of the important parts of the computer. Which statement is wrong about the definition of memory?

A) Memory is also called internal memory. Its function is to back up, copy and permanently store the computing data in the CPU to provide data reliability.
B) When the computer is running, the CPU will drop the data that needs to be calculated into the memory for calculation. When the calculation is completed, the CPU will send the result out. The operation of the memory also determines the stable operation of the computer.
C) Memory, also known as main memory, is a storage space that can be directly addressed by the CPU and is made of semiconductor devices.
D) The memory is relative to the external memory, and its main feature is the fast access rate.

2. Company A purchased the Huawei TaiShan server and wanted to migrate a piece of software that was originally running under the Windows system of the X86 server to the new Kunpeng platform. Which of the following statements is wrong?

A) Kunpeng platform does not support Windows software, so it cannot be ported.
B) Consider the X86+ARM hybrid deployment plan.
C) Recompile to run on the new Kunpeng platform.
D) Consider using software with similar functions under Linux for replacement transplantation.

3. TaiShan server adopts NUMA architecture. Which of the following tools can monitor NUMA topology and resource usage to dynamically improve NUMA resource allocation and management?

A) numctl
B) nomad
C) taskset
D) numastat

4. The execution efficiency of the C/C++ compiled language program running under the Kunpeng architecture is the same as that of the X86 architecture, which is higher than that of interpreted language programs such as Java.

A) True
B) False

5. GPU is widely used in embedded systems. Which of the following descriptions about GPU is wrong in mobile phones, personal computers, workstations and video game solutions?

A) GPU is a general-purpose processor, which must take into account calculation and control. Its processor system is SISD (Single Instruction single Data) type.
B) GPU is composed of thousands of smaller and more efficient cores, which are designed to handle multiple tasks at the same time.
C) GPU is very efficient for image and graphics processing. This is because the GPU is designed as a very high parallel architecture, which makes it more advantageous than general-purpose processor CPUs in parallel processing algorithms for large data blocks.
D) GPU is mainly good at parallel computing similar to image processing, and its processor system is SIMD (Single Instruction Multiple Data) type

Solutions: