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Huawei H13-321_V2.0 Exam Overview:

Certification Vendor:Huawei
Exam Name:HCIP-AI-EI Developer V2.0
Exam Number:H13-321_V2.0-ENU
Available Languages:English, Chinese
Passing Score:600/1000
Exam Price:300 USD
Real Exam Qty:60
Exam Duration:90 minutes
Certificate Validity Period:3 years
Exam Format:Single-choice, Multiple-choice, True/False, Scenario-based
Related Certifications:HCIA-AI
HCIE-AI
Recommended Training:HCIP-AI-EI Developer V2.0 Official Training
Exam Registration:Huawei Certification Official
Pearson VUE Registration
Sample Questions:Huawei H13-321_V2.0 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE / Huawei authorized test centers
Pre Condition:Recommended: HCIA-AI certification or equivalent knowledge; 6+ months AI development experience
Official Syllabus URL:https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aisd.html

Huawei H13-321_V2.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Natural Language Processing Lab Guide10%- ModelArts NLP model training and tuning
- Application integration and deployment
- Text classification and NER implementation
Topic 2: Image Processing Theory and Applications26%- Convolutional Neural Networks (CNN)
- OCR and visual application development
- Image classification, object detection, segmentation
- Image processing fundamentals
Topic 3: Natural Language Processing Theory and Applications10%- BERT, GPT and pre-trained models
- Text classification, NER, machine translation
- RNN, LSTM, GRU, Transformer architecture
- Word representation and embedding
Topic 4: Speech Processing Lab Guide12%- ModelArts speech application deployment
- ASR and TTS service development
- Huawei Cloud Speech Interaction Service
Topic 5: Overview of ModelArts4%- Development environment and tool usage
- Data processing, training, deployment capabilities
- ModelArts platform positioning and architecture
Topic 6: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio2%- Huawei AI development strategy
- Full-stack and all-scenario AI technology layout
Topic 7: Neural Network Basics4%- Gradient descent and backpropagation
- Activation functions and regularization
- Basic concepts of neural networks
- Multilayer Perceptron (MLP)
Topic 8: Image Processing Lab Guide12%- ModelArts-based image classification
- Object detection and segmentation practice
- Ascend-based deployment
Topic 9: Speech Processing Theory and Applications10%- Automatic Speech Recognition (ASR)
- Speech signal characteristics and processing
- Acoustic and language modeling
- Text-to-Speech (TTS) technology

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

1. The color histogram of a color image cannot be calculated.

A) True
B) False


2. What are the following advantages of LBP feature descriptor? (Multiple choice)

A) Good texture feature extraction
B) Good at extracting color features
C) Grayscale invariance
D) Rotational invariance


3. Which of the following annotation types is not available when creating image datasets in ModelArts data management?

A) Image Segmentation
B) Object Detection
C) Image Generation
D) Image Classification


4. Huawei Cloud's cloud monitoring service can monitor the relevant indicators of image recognition. Users can use the indicators to timely understand the usage of image recognition. Each sub-service has two indicators: the number of successful calls and the number of failed calls.

A) True
B) False


5. What is the purpose of using gradient descent?

A) Finding label values
B) Prediction results (forward calculation in neural network)
C) Changing the model structure
D) Optimization parameters


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A,C,D
Question # 3
Answer: C
Question # 4
Answer: A
Question # 5
Answer: D

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