Exam Name: HCIP-AI-EI Developer V2.0
Certification Provider: Huawei
Corresponding Certification: HCIP AI EI
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Instant Download Huawei : H13-321_V2.0-ENU
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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Natural Language Processing Theory and Applications | - NLP Fundamentals
|
| Speech Processing Theory and Applications | - Speech AI Technologies
|
| ModelArts Platform Overview | - AI Development Platform
|
| Natural Language Processing Labs | - Practical Development
|
| Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Image Processing Labs | - Practical Development
|
| Neural Network Basics | - Neural Network Fundamentals
|
| Speech Processing Labs | - Practical Development
|
| Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
ModelArts is a one-stop development platform for AI developers. "One-stop" refers to all aspects of AI development, including which of the following options? (Multiple choice)
- A. Model Deployment
- B. algorithm development
- C. Model Management
- D. Data processing
- E. Model Training
Correct Answer: A,B,C,D,E 🗳️
Which of the following is the correct description of the properties of the probability density function? (Multiple choice)
- A. The integral of the probability density function at positive and negative infinity is 0
- B. The probability density function can take any value
- C. The value of the probability density function is greater than or equal to 0
- D. The integral of the probability density function at positive and negative infinity is 1
Correct Answer: C,D 🗳️
Which of the following layers does a convolutional neural network usually contain? (Multiple choice)
- A. Convolutional Layer
- B. Fully connected layer
- C. Input layer
- D. Output layer
Correct Answer: A,B,C,D 🗳️
Which function is not included in the back propagation algorithm?
- A. Normalization
- B. Incentive Communication
- C. Get the gradient
- D. Weight Update
Correct Answer: A 🗳️
The state sequence of HMM cannot be obtained directly or through the observation sequence.
- A. False
- B. True
Correct Answer: A 🗳️
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