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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) TRUE
B) FALSE

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

A) TextCNN
B) BERT
C) Word2Vec
D) FastText

3. 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.)

4. A text classification task has only one final output, while a sequence labeling task has an output in each input position.

A) TRUE
B) FALSE

5. Which of the following are the impacts of the development of large models?

A) Data privacy and security issues will be exacerbated
B) The accuracy and efficiency of natural language processing tasks will improve
C) Model pre-training costs will be reduced
D) Large models will completely replace small and domain-specific models

Solutions: