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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: System Deployment, Tuning and Maintenance | 20% | - Security and compliance management - Monitoring, O&M and fault handling - Installation and deployment procedures - Performance tuning methodology |
| Topic 2: Computing Ecosystem Business Insights | 20% | - Kunpeng and Ascend ecosystem overview - Industry trends and development status - Typical application scenarios and value analysis |
| Topic 3: Intelligent Computing Solution Design | 25% | - Software stack selection and deployment - High availability and reliability design - Server and hardware configuration - Requirements analysis and architecture design |
| Topic 4: Key Technologies and Applications | 35% | - Storage and network integration - Compiler and optimization tools - Kunpeng architecture and processor technology - Virtualization and container technology - Ascend AI processor and computing framework |
1. Common hardware computing platforms include CPU, GPU, ASIC and FPGA. What is a high-performance programmable chip that can implement multiple processing units to execute different instruction streams simultaneously? (Multiple choice)
A) CPU
B) ASIC
C) FPGA
D) GPU
2. Intelligent network card uses LDPC error correction algorithm to achieve high reliability of data.
A) False
B) True
3. A company plans to port the C language from the X86 platform to the Kunpeng platform. This process involves the compilation of gcc. Which of the following are part of the gcc compilation process? (Multiple choice)
A) Pretreatment
B) Assembly
C) Link
D) Compile
4. Stateless computing means that the physical attributes of computer servers can be configured, inherited, copied, and migrated remotely, so as to realize the automation of server deployment, replacement, and business migration. Without reconfiguration operations, computing can reach "stateless".
A) False
B) True
5. Heterogeneous computing is a new computing model after single-core computing and multi-core parallel computing. Which of the following descriptions about the background of heterogeneous computing is wrong?
A) NUMA is a mode of heterogeneous computing.
B) Moore's Law is getting closer and closer to the physical limit, and the difficulty and cost of improving single-core performance are getting higher and higher.
C) The performance improvement brought by multi-core parallelism is limited. With the increase of parallelism, the problems of heat dissipation and energy consumption have become increasingly prominent.
D) Heterogeneous computing maximizes the performance of each processor, and delegates the most suitable task to the best computing unit.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: A | Question # 3 Answer: A,B,C,D | Question # 4 Answer: B | Question # 5 Answer: A |
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