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

1. When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.

A) FALSE
B) TRUE

2. The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.

A) FALSE
B) TRUE

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

A) FALSE
B) TRUE

4. 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 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.
B) 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".
C) Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
D) 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.

5. 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) Affine transformation
B) Perspective transformation
C) Rotational transformation
D) Grayscale transformation

Solutions: