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Huawei H13-321_V2.5 Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Fundamentals- Introduction to Artificial Intelligence
- AI Development Lifecycle
- Common AI Use Cases in Industry
Topic 2: Model Deployment and Operations- Inference Services
- Model Deployment Strategies
- Monitoring and Maintenance
Topic 3: Model Development with Huawei ModelArts- AutoML Capabilities
- Training Models on ModelArts
- ModelArts Platform Overview
Topic 4: Machine Learning- Unsupervised Learning
  • 1. Clustering Methods
    • 2. Dimensionality Reduction
      - Supervised Learning
      • 1. Regression Algorithms
        • 2. Classification Algorithms
          Topic 5: AI Application Development (EI)- Building AI Applications
          - AI Service Integration
          - Enterprise Intelligence (EI) Concepts
          Topic 6: Data Processing- Data Labeling and Preparation
          - Feature Engineering
          - Data Collection and Cleaning
          Topic 7: Huawei AI Ecosystem Tools- AI Development Toolchain
          - MindSpore Framework Basics
          - Huawei Cloud AI Services
          Topic 8: Deep Learning- Neural Network Fundamentals
          - Model Training and Optimization
          - CNN and RNN Architectures

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

          Question #1

          Which of the following applications are supported by ModelArts ExeML?

          • A. Predictive maintenance of manufacturing equipment
          • B. Dress code conformance monitoring in campuses
          • C. Anomalous sound detection in production or security scenarios
          • D. Automatic offering classification
          Reveal Solution  Discussion  0

          Correct Answer: A,B,C,D  🗳️

          Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

          Question #2

          If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
          shape[:2] can be used to obtain the image size.

          • A. FALSE
          • B. TRUE
          Reveal Solution  Discussion  0

          Correct Answer: B  🗳️

          Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

          Question #3

          Which of the following is not an algorithm for training word vectors?

          • A. TextCNN
          • B. Word2Vec
          • C. FastText
          • D. BERT
          Reveal Solution  Discussion  0

          Correct Answer: A  🗳️

          Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

          Question #4

          Which of the following has never been used as a method in the history of NLP?

          • A. Deep learning-based method
          • B. Rule-based method
          • C. Statistics-based method
          • D. Recursion-based method
          Reveal Solution  Discussion  0

          Correct Answer: D  🗳️

          Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

          Question #5

          Which of the following statements about the levels of natural language understanding are true?

          • A. Pragmatic analysis is to study the influence of the language's external environment on the language users.
          • B. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
          • C. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
          • D. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
          • E. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
          Reveal Solution  Discussion  0

          Correct Answer: A,C,E  🗳️

          Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

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