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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Processing and Analysis- Feature engineering
- Data preprocessing techniques
Topic 2: AI Application Deployment and Operations- Inference service deployment
- AI service monitoring and optimization
Topic 3: AI Model Development- Model training and evaluation
- Hyperparameter tuning
Topic 4: Huawei AI Development Platform (ModelArts)- Model training and deployment on ModelArts
- ModelArts usage and workflow
- Dataset management
Topic 5: Artificial Intelligence Fundamentals- Machine learning basics
- Deep learning fundamentals
- Introduction to AI concepts

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

1. The OTSU algorithm traverses possible thresholds and selects the maximum segmentation threshold between the foreground area and the background area () as the optimal threshold.

A) Between-class variance
B) Absolute difference
C) Area difference
D) Cumulative difference of pixel values


2. In Huawei's artificial intelligence product stack, it can be compared to NVIDIA 's CUDA and CUDNN ()


3. Deep learning model training requires a large amount of data. In actual operation, data enhancement technology can be used to randomly add normal samples to the training image data set to expand the sample size of the data set.

A) True
B) False


4. Which of the following is not a field supported by the intent understanding API provided by Huawei Cloud EI natural language processing service?

A) Music
B) Entertainment
C) Alarm clock
D) Jokes


5. The goal of artificial intelligence is to make computers as smart as humans.

A) True
B) False


Solutions:

Question # 1
Answer: A
Question # 2
Answer: Only visible for members
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: A

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