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Huawei H13-321_V2.5 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deep Learning Fundamentals15%- Training and Fine-tuning
- CNN and RNN Architectures
- Neural Network Basics
- Optimization Algorithms
Topic 2: EI Model Development Fundamentals15%- EI Service and Architecture
- HiLens Framework and Skills
- Development Environment Setup
- Model Development Process
Topic 3: HiLens Platform Development20%- Edge Deployment Strategy
- Multi-modal Data Processing
- Real-time Inference Optimization
- Skill Development Framework
Topic 4: ModelArts Pro Development20%- Hyperparameter Optimization
- Inference Service Configuration
- Model Deployment and Management
- AutoML and Automatic Model Training
Topic 5: Natural Language Processing Application15%- Text Classification Models
- Text Preprocessing and Embedding
- Named Entity Recognition
- Language Model Fine-tuning
Topic 6: Image Recognition Application Development15%- Image Classification Models
- Image Segmentation
- Object Detection Implementation
- Transfer Learning with Pre-trained Models

Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

Which of the following is not an acoustic feature of speech?

  • A. Frequency
  • B. Amplitude
  • C. Semantics
  • D. Duration
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).

In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

  • A. Sigmoid
  • B. ReLU
  • C. Tanh
  • D. SeLU
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).

Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

  • A. When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
  • B. Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
  • C. When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
  • D. Gamma correction applies only to grayscale images and does not apply to color images.
Reveal Solution  Discussion  0

Correct Answer: A,B,C  🗳️

Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).

Which of the following is a learning algorithm used for Markov chains?

  • A. Viterbi algorithm
  • B. Exhaustive search
  • C. Baum-Welch algorithm
  • D. Forward-backward algorithm
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Seq2Seq is a model that translates one sequence into another sequence, essentially consisting of two recurrent neural networks (RNNs), one is the Encoder, and the other is the ---------. (Fill in the blank.)

Reveal Solution  Discussion  0

Correct Answer:

Decoder
Explanation:
The Seq2Seq architecture is widely used in machine translation, speech recognition, and other NLP tasks. It consists of:
* Encoder:Processes the input sequence and encodes it into a fixed-length context vector containing semantic information.
* Decoder:Uses this context vector to generate the target output sequence step by step.
Exact Extract from HCIP-AI EI Developer V2.5:
"Seq2Seq models consist of an encoder and a decoder. The encoder transforms the input into a context vector, which the decoder uses to generate the output sequence." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Encoder-Decoder Architecture

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