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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Deep Learning | - Model Training and Optimization - CNN and RNN Architectures - Neural Network Fundamentals |
| Topic 2: AI Application Development (EI) | - AI Service Integration - Enterprise Intelligence (EI) Concepts - Building AI Applications |
| Topic 3: Model Deployment and Operations | - Model Deployment Strategies - Inference Services - Monitoring and Maintenance |
| Topic 4: AI Fundamentals | - Introduction to Artificial Intelligence - AI Development Lifecycle - Common AI Use Cases in Industry |
| Topic 5: Data Processing | - Data Labeling and Preparation - Data Collection and Cleaning - Feature Engineering |
| Topic 6: Huawei AI Ecosystem Tools | - Huawei Cloud AI Services - MindSpore Framework Basics - AI Development Toolchain |
| Topic 7: Machine Learning | - Unsupervised Learning
|
| Topic 8: Model Development with Huawei ModelArts | - ModelArts Platform Overview - AutoML Capabilities - Training Models on ModelArts |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Which of the following has never been used as a method in the history of NLP?
- A. Recursion-based method
- B. Rule-based method
- C. Deep learning-based method
- D. Statistics-based method
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
- A. FALSE
- B. TRUE
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
Which of the following statements about the multi-head attention mechanism of the Transformer are true?
- A. The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.
- B. The concatenated output is fed directly into the multi-headed attention mechanism.
- C. Each header's query, key, and value undergo a shared linear transformation to obtain them.
- D. The multi-head attention mechanism captures information about different subspaces within a sequence.
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
Which of the following ModelArts training parameters is used to customize hyperparameters?
- A. Resource Pool
- B. Algorithm Type
- C. Hyperparameter
- D. Compute Nodes
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.
- A. FALSE
- B. TRUE
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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