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

1. In natural language processing tasks, word vector evaluation is an important aspect for measuring the performance of a word embedding model. Which of the following statements about word vector evaluation are true?

A) Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
B) Extrinsic evaluation is the main method used for evaluating word vectors because it directly reflects the performance of word vectors in real-world application tasks.
C) Word similarity tasks typically employ manually labeled datasets to evaluate word vectors, compute the cosine similarity between word vectors, and compare it with the manual labeling result.
D) The word analogy task evaluates the capability of word vectors in capturing semantic relationships between words, for example, by determining whether "king - man + woman = ?" is close to "queen".

2. If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?

A) Rotational transformation
B) Grayscale transformation
C) Affine transformation
D) Perspective transformation

3. ------- is a model that uses a convolutional neural network (CNN) to classify texts.

4. Which of the following methods are useful when tackling overfitting?

A) Using dropout during model training
B) Data augmentation
C) Using parameter norm penalties
D) Using more complex models

5. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.

A) FALSE
B) TRUE

Solutions: