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

1. The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?

A) Calculate the dot product similarity between the query and key vectors to obtain attention scores.
B) Compute the weighted sum of the value vectors using the attention weights.
C) Apply a non-linear mapping to the result obtained after the weighted summation.
D) Normalize the attention scores to obtain attention weights.

2. Which of the following statements about the functions of the encoder and decoder is true?

A) The output lengths of the encoder and decoder are the same.
B) The decoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
C) The encoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
D) The encoder converts context vectors into variable-length output sequences.

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

A) TRUE
B) FALSE

4. The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.

A) TRUE
B) FALSE

5. Which of the following statements about the standard normal distribution are true?

A) The variance is 0.
B) The mean is 0.
C) The mean is 1.
D) The variance is 1.

Solutions: