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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Deep Learning | - Neural Network Fundamentals - Model Training and Optimization - CNN and RNN Architectures |
| Topic 2: Machine Learning | - Supervised Learning
|
| Topic 3: Model Development with Huawei ModelArts | - Training Models on ModelArts - ModelArts Platform Overview - AutoML Capabilities |
| Topic 4: Huawei AI Ecosystem Tools | - Huawei Cloud AI Services - MindSpore Framework Basics - AI Development Toolchain |
| Topic 5: Model Deployment and Operations | - Monitoring and Maintenance - Inference Services - Model Deployment Strategies |
| Topic 6: AI Application Development (EI) | - AI Service Integration - Building AI Applications - Enterprise Intelligence (EI) Concepts |
| Topic 7: AI Fundamentals | - Common AI Use Cases in Industry - AI Development Lifecycle - Introduction to Artificial Intelligence |
| Topic 8: Data Processing | - Data Collection and Cleaning - Data Labeling and Preparation - Feature Engineering |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. 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) TRUE
B) FALSE
2. The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.
A) TRUE
B) FALSE
3. When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.
A) TRUE
B) FALSE
4. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
A) TRUE
B) FALSE
5. Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?
A) MP3
B) PCM
C) WAV
D) AAC
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A,B,C |
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