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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Application Development (EI) | - Enterprise Intelligence (EI) Concepts - Building AI Applications - AI Service Integration |
| Model Development with Huawei ModelArts | - ModelArts Platform Overview - Training Models on ModelArts - AutoML Capabilities |
| Deep Learning | - Neural Network Fundamentals - Model Training and Optimization - CNN and RNN Architectures |
| Huawei AI Ecosystem Tools | - MindSpore Framework Basics - AI Development Toolchain - Huawei Cloud AI Services |
| AI Fundamentals | - Common AI Use Cases in Industry - AI Development Lifecycle - Introduction to Artificial Intelligence |
| Model Deployment and Operations | - Model Deployment Strategies - Inference Services - Monitoring and Maintenance |
| Data Processing | - Feature Engineering - Data Collection and Cleaning - Data Labeling and Preparation |
| Machine Learning | - Supervised Learning
|
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. Huawei Cloud ModelArts is a one-stop AI development platform that supports multiple AI scenarios. Which of the following scenarios are supported by ModelArts?
A) Speech recognition
B) Video analytics
C) Image classification
D) Object detection
2. What type of task is viewed when using the Seq2Seq model in speech recognition?
A) Regression task
B) Dimensionality reduction task
C) Clustering task
D) Classification task
3. The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.
A) FALSE
B) TRUE
4. Maximum likelihood estimation (MLE) requires knowledge of the sample data's distribution type.
A) FALSE
B) TRUE
5. The mAP evaluation metric in object detection combines accuracy and recall.
A) FALSE
B) TRUE
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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