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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Development with Huawei ModelArts | - Training Models on ModelArts - AutoML Capabilities - ModelArts Platform Overview |
| AI Application Development (EI) | - AI Service Integration - Building AI Applications - Enterprise Intelligence (EI) Concepts |
| Data Processing | - Data Labeling and Preparation - Feature Engineering - Data Collection and Cleaning |
| Huawei AI Ecosystem Tools | - Huawei Cloud AI Services - AI Development Toolchain - MindSpore Framework Basics |
| Model Deployment and Operations | - Model Deployment Strategies - Inference Services - Monitoring and Maintenance |
| Deep Learning | - Model Training and Optimization - Neural Network Fundamentals - CNN and RNN Architectures |
| Machine Learning | - Unsupervised Learning
|
| AI Fundamentals | - AI Development Lifecycle - Common AI Use Cases in Industry - Introduction to Artificial Intelligence |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
-------- is a text representation method based on the bag of words (BoW) model. It decomposes words into subwords and then adds the vector representations of the subwords to obtain word vectors, fully utilizing character N-gram information. (Fill in the blank.)
Reveal Solution Discussion 0Correct Answer:
FastText
Explanation:
FastTextis an extension of Word2Vec developed by Facebook AI Research. Unlike Word2Vec, which learns embeddings for whole words, FastText represents each word as a sum of its character n-gram embeddings.
This helps in handling rare words and morphologically rich languages by generating embeddings for unseen words from their subword components.
Exact Extract from HCIP-AI EI Developer V2.5:
"FastText decomposes words into character n-grams and represents words as the sum of their n-gram vectors, improving representation for rare and out-of-vocabulary words." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Subword Embedding Models
Maximum likelihood estimation (MLE) requires knowledge of the sample data's distribution type.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
In an image preprocessing experiment, the cv2.imread("lena.png", 1) function provided by OpenCV is used to read images. The parameter "1" in this function represents a --------- -channel image. (Fill in the blank with a number.)
Reveal Solution Discussion 0Correct Answer:
3
Explanation:
In OpenCV:
* cv2.imread(filename, 1) reads the image incolor mode.
* This loads the image as a3-channelBGR image (Blue, Green, Red).
* Other modes: 0 for grayscale, -1 for unchanged (including alpha channel).
Exact Extract from HCIP-AI EI Developer V2.5:
"When the second parameter of cv2.imread is 1, the image is read in color mode, resulting in a 3-channel BGR image." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Image Reading and Writing with OpenCV
Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
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. Object detection
- B. Image classification
- C. Speech recognition
- D. Video analytics
Correct Answer: A,B,C,D 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
