Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Huawei AI Ecosystem Tools | - MindSpore Framework Basics - AI Development Toolchain - Huawei Cloud AI Services |
| AI Fundamentals | - Common AI Use Cases in Industry - Introduction to Artificial Intelligence - AI Development Lifecycle |
| Model Deployment and Operations | - Monitoring and Maintenance - Model Deployment Strategies - Inference Services |
| Data Processing | - Data Labeling and Preparation - Data Collection and Cleaning - Feature Engineering |
| Model Development with Huawei ModelArts | - Training Models on ModelArts - ModelArts Platform Overview - AutoML Capabilities |
| AI Application Development (EI) | - Enterprise Intelligence (EI) Concepts - Building AI Applications - AI Service Integration |
| Deep Learning | - CNN and RNN Architectures - Neural Network Fundamentals - Model Training and Optimization |
| Machine Learning | - Unsupervised Learning
|
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Question #1
The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.
A. TRUE
B. FALSE
Question #2
What are the advantages of deep learning-based speech recognition algorithms?
A. No data training
B. End-to-end task processing
C. Automated feature extraction
D. Forced alignment of annotated data
Question #3
Which of the following are the impacts of the development of large models?
A. Large models will completely replace small and domain-specific models
B. Model pre-training costs will be reduced
C. The accuracy and efficiency of natural language processing tasks will improve
D. Data privacy and security issues will be exacerbated
Question #4
If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?
A. Perspective transformation
B. Rotational transformation
C. Affine transformation
D. Grayscale transformation
Question #5
Which of the following statements about the levels of natural language understanding are true?
A. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
B. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
C. Pragmatic analysis is to study the influence of the language's external environment on the language users.
D. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
E. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B,C | Question #3 Correct Answer: C,D | Question #4 Correct Answer: B,C | Question #5 Correct Answer: B,C,D |
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