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

1. The mAP evaluation metric in object detection combines accuracy and recall.

A) FALSE
B) TRUE

2. Which of the following ModelArts training parameters is used to customize hyperparameters?

A) Algorithm Type
B) Resource Pool
C) Compute Nodes
D) Hyperparameter

3. 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) 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.
D) Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.

4. Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.

A) FALSE
B) TRUE

5. 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

Solutions: