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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Application | 15% | - Text Preprocessing and Embedding - Language Model Fine-tuning - Text Classification Models - Named Entity Recognition |
| ModelArts Pro Development | 20% | - Inference Service Configuration - Model Deployment and Management - Hyperparameter Optimization - AutoML and Automatic Model Training |
| Deep Learning Fundamentals | 15% | - Neural Network Basics - CNN and RNN Architectures - Optimization Algorithms - Training and Fine-tuning |
| HiLens Platform Development | 20% | - Real-time Inference Optimization - Skill Development Framework - Multi-modal Data Processing - Edge Deployment Strategy |
| Image Recognition Application Development | 15% | - Image Segmentation - Object Detection Implementation - Transfer Learning with Pre-trained Models - Image Classification Models |
| EI Model Development Fundamentals | 15% | - EI Service and Architecture - HiLens Framework and Skills - Development Environment Setup - Model Development Process |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
The image saturation can be enhanced by processing the ________ component of the HSV color space. (Enter H, S, or V.)
Reveal Solution Discussion 0Correct Answer:
S
Explanation:
In the HSV (Hue, Saturation, Value) color model:
* Hrepresents hue (color type).
* Srepresents saturation (color intensity or vividness).
* Vrepresents brightness.
To enhance saturation in an image, adjustments are made to theS component. Increasing S increases the color vividness, making the image appear more vibrant, while reducing S moves colors toward grayscale. This approach is widely used in image enhancement tasks, especially in object recognition and segmentation, where vivid colors improve feature contrast.
Exact Extract from HCIP-AI EI Developer V2.5:
"In HSV color space, saturation (S) describes the vividness of colors. Increasing the S value enhances saturation, making colors more intense, while decreasing it makes them closer to gray." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Image Processing Basics
The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).
Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?
- A. It achieves fast convergence without using pre-trained models.
- B. It can process high-resolution images to enhance classification accuracy.
- C. The self-attention mechanism is used to capture global features of images, improving classification accuracy.
- D. It can handle small datasets with minimal labeling required.
Correct Answer: C 🗳️
Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).
Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?
- A. WAV
- B. AAC
- C. PCM
- D. MP3
Correct Answer: A,C,D 🗳️
Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).
The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)
Reveal Solution Discussion 0Correct Answer:
NER
Explanation:
NER(Named Entity Recognition) is a core NLP task that involves locating and categorizing entities within text into predefined categories like persons, organizations, places, dates, monetary values, and percentages.
NER is widely used in information extraction, question answering, and knowledge graph construction.
Exact Extract from HCIP-AI EI Developer V2.5:
"NER identifies and classifies named entities in text into categories such as person names, organizations, locations, time expressions, and numeric values." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Sequence Labeling Tasks
