Question 1

Which of the following scenarios are natural language processing NLP for? Multiple selection

Options :

A : Text analysis

B : Intelligent question answering system

C : Translation

D : Image analysis

Answer: A,B,C

Question 2

The biggest contribution of MapReduce is to realize automatic algorithm parallelization and large-scale distributed computing through a simple interface, which of the following scenarios is it suitable for?

Options :

A : Massive data search

B : Real-time retrieval

C : Web Access Log Analysis

D : Word frequency analysis

Answer: A,C,D

Question 3

What capabilities of HUAWEI CLOUD Big Data can help game enterprises perform operational analysis? Multi-select

Options :

A : realize multi-dimensional analysis of game users through DLI service, and tap potential value

B : Collect, analyze and process gamer behavior through DIS Flume

C : MRS Flink implements the cleaning and processing of behavioral data

D : Realize user label information storage and query answer through CloudTable

Answer: A,B,C,D

Question 4

The FPGA acceleration cloud server provides tools and environments for FPGA development and use, allowing users to easily develop FPGA accelerators and deploy services based on FPGA acceleration. Which of the following scenarios is suitable for using FPGAs to accelerate cloud servers?

Options :

A : 3D personal somatosensory games, scenes that require a large number of graphics rendering

B : Scenarios requiring massive computing and extremely low latency requirements in machine learning

C : Scenarios requiring massive data processing such as gene sequencing and analysis

D :

Answers to scenarios where the financial industry has high requirements for computing power, ultra-low latency, high throughput, and response

Answer: B,C,D

Question 5

A social platform business has strong volatility and cannot be predicted in advance. When hot events occur, the service pressure increases sharply, and more ECS is required to ensure high service performance. But when running smoothly and without hot events, the pressure is relatively low and not requiring as much ECS. Which of the following scenarios can help reduce costs for this business? Multiple selection

Options :

A :

Purchase an on-demand ECS instance and manually scale out during peak service hours, delete the redundant instances

B : and use AutoScali. The periodic policy of the nG service is scaled regularly to cope with service peaks

C :

Purchasing Reserved Instances (on-demand packages) can save fees when creating and deleting ECS instances (compared to the subscription cycle).

D :

Use the alarm policy of AutoSc a ling service to scale out the capacity horizontally when a high ECS load is detected: Detected When the ECS load is low, it can be scaled down to save costs

Answer: C,D

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