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- Total Questions: 62
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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Huawei AI Ecosystem Tools | - AI Development Toolchain - Huawei Cloud AI Services - MindSpore Framework Basics |
| Machine Learning | - Unsupervised Learning
|
| Data Processing | - Data Collection and Cleaning - Data Labeling and Preparation - Feature Engineering |
| AI Fundamentals | - AI Development Lifecycle - Introduction to Artificial Intelligence - Common AI Use Cases in Industry |
| AI Application Development (EI) | - AI Service Integration - Building AI Applications - Enterprise Intelligence (EI) Concepts |
| Model Deployment and Operations | - Model Deployment Strategies - Monitoring and Maintenance - Inference Services |
| Deep Learning | - Model Training and Optimization - CNN and RNN Architectures - Neural Network Fundamentals |
| Model Development with Huawei ModelArts | - Training Models on ModelArts - ModelArts Platform Overview - AutoML Capabilities |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
Which of the following are required for the image object detection algorithm?
- A. Object contour calculation
- B. Confidence calculation
- C. Object classification determination
- D. Object location calculation
Correct Answer: B,C,D 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?
- A. For CNN, there is no difference in handling text or image tasks.
- B. When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
- C. CNNs are suitable for image tasks, but they perform poorly in text tasks.
- D. Color image input is multi-channel, whereas text input is single-channel.
Correct Answer: B,D 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
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