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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Huawei AI Ecosystem Tools | - AI Development Toolchain - MindSpore Framework Basics - Huawei Cloud AI Services |
| Model Deployment and Operations | - Inference Services - Model Deployment Strategies - Monitoring and Maintenance |
| Data Processing | - Data Labeling and Preparation - Feature Engineering - Data Collection and Cleaning |
| Model Development with Huawei ModelArts | - ModelArts Platform Overview - AutoML Capabilities - Training Models on ModelArts |
| AI Fundamentals | - AI Development Lifecycle - Common AI Use Cases in Industry - Introduction to Artificial Intelligence |
| Machine Learning | - Supervised Learning
|
| Deep Learning | - Model Training and Optimization - Neural Network Fundamentals - CNN and RNN Architectures |
| AI Application Development (EI) | - Enterprise Intelligence (EI) Concepts - Building AI Applications - AI Service Integration |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. John wants to deploy a large model locally to implement the Q&A assistant function for his company. Which of the following factors is unnecessary for John to consider?
A) Model security
B) Demand for computing power
C) Output delay
D) Model development framework
2. Which of the following are required for the image object detection algorithm?
A) Object classification determination
B) Object contour calculation
C) Object location calculation
D) Confidence calculation
3. The U-Net uses an upsampling mechanism and has a fully-connected layer.
A) TRUE
B) FALSE
4. 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 vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
B) 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".
C) 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.
D) 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.
5. What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?
A) 4-adjacency
B) No adjacency relationship
C) Diagonal adjacency
D) 8-adjacency
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,C,D | Question # 3 Answer: B | Question # 4 Answer: A,B,C | Question # 5 Answer: C,D |






