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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Huawei AI Ecosystem Tools | - AI Development Toolchain - Huawei Cloud AI Services - MindSpore Framework Basics |
| Topic 2: Model Deployment and Operations | - Inference Services - Model Deployment Strategies - Monitoring and Maintenance |
| Topic 3: Deep Learning | - Neural Network Fundamentals - Model Training and Optimization - CNN and RNN Architectures |
| Topic 4: AI Application Development (EI) | - Enterprise Intelligence (EI) Concepts - AI Service Integration - Building AI Applications |
| Topic 5: Machine Learning | - Unsupervised Learning
|
| Topic 6: AI Fundamentals | - AI Development Lifecycle - Introduction to Artificial Intelligence - Common AI Use Cases in Industry |
| Topic 7: Model Development with Huawei ModelArts | - ModelArts Platform Overview - AutoML Capabilities - Training Models on ModelArts |
| Topic 8: Data Processing | - Data Labeling and Preparation - Data Collection and Cleaning - Feature Engineering |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. In natural language processing tasks, word vector evaluation is an important aspect for measuring the performance of a word embedding model. Which of the following statements about word vector evaluation are true?
A) Word similarity tasks typically employ manually labeled datasets to evaluate word vectors, compute the cosine similarity between word vectors, and compare it with the manual labeling result.
B) Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
C) Extrinsic evaluation is the main method used for evaluating word vectors because it directly reflects the performance of word vectors in real-world application tasks.
D) The word analogy task evaluates the capability of word vectors in capturing semantic relationships between words, for example, by determining whether "king - man + woman = ?" is close to "queen".
2. The image saturation can be enhanced by processing the ________ component of the HSV color space. (Enter H, S, or V.)
3. 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) Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
D) 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.
E) Pragmatic analysis is to study the influence of the language's external environment on the language users.
4. What type of task is viewed when using the Seq2Seq model in speech recognition?
A) Classification task
B) Dimensionality reduction task
C) Clustering task
D) Regression task
5. The U-Net uses an upsampling mechanism and has a fully-connected layer.
A) TRUE
B) FALSE
Solutions:
| Question # 1 Answer: A,B,D | Question # 2 Answer: Only visible for members | Question # 3 Answer: B,C,E | Question # 4 Answer: A | Question # 5 Answer: B |
