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| Section | Weight | Objectives |
|---|---|---|
| HiLens Platform Development | 20% | - Edge Deployment Strategy - Multi-modal Data Processing - Skill Development Framework - Real-time Inference Optimization |
| ModelArts Pro Development | 20% | - Hyperparameter Optimization - AutoML and Automatic Model Training - Model Deployment and Management - Inference Service Configuration |
| Deep Learning Fundamentals | 15% | - Neural Network Basics - Training and Fine-tuning - CNN and RNN Architectures - Optimization Algorithms |
| EI Model Development Fundamentals | 15% | - Development Environment Setup - HiLens Framework and Skills - EI Service and Architecture - Model Development Process |
| Image Recognition Application Development | 15% | - Transfer Learning with Pre-trained Models - Object Detection Implementation - Image Classification Models - Image Segmentation |
| Natural Language Processing Application | 15% | - Named Entity Recognition - Text Classification Models - Language Model Fine-tuning - Text Preprocessing and Embedding |
1. Which of the following has never been used as a method in the history of NLP?
A) Recursion-based method
B) Deep learning-based method
C) Statistics-based method
D) Rule-based method
2. In an HSV color space, H is for hue, S is for saturation, and V is for value. Which of the following statements about the HSV color space are true?
A) Saturation describes how vivid the color is. The lower the saturation, the closer the color is to gray. The higher the saturation, the more vivid the color.
B) The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.
C) Hue indicates the basic color attributes, such as red, green, and blue.
D) Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
3. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
A) FALSE
B) TRUE
4. 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) Demand for computing power
B) Output delay
C) Model development framework
D) Model security
5. In cases where the bright and dark areas of an image are too extreme, which of the following techniques can be used to improve the image?
A) Grayscale stretching
B) Gamma correction
C) Inversion
D) Grayscale compression
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,C,D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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