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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?

A) 55
B) 10
C) 28
D) 9

2. 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.)

3. What type of task is viewed when using the Seq2Seq model in speech recognition?

A) Classification task
B) Clustering task
C) Regression task
D) Dimensionality reduction task

4. Overfitting is a condition where a model is overly simple and excessive generalization errors occur.

A) TRUE
B) FALSE

5. -------- 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.)

Solutions: