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

1. Seq2Seq is a model that translates one sequence into another sequence, essentially consisting of two recurrent neural networks (RNNs), one is the Encoder, and the other is the ---------. (Fill in the blank.)

2. Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.

A) TRUE
B) FALSE

3. Which of the following is a learning algorithm used for Markov chains?

A) Baum-Welch algorithm
B) Viterbi algorithm
C) Exhaustive search
D) Forward-backward algorithm

4. Which of the following are required for the image object detection algorithm?

A) Confidence calculation
B) Object classification determination
C) Object location calculation
D) Object contour calculation

5. Which of the following is not an acoustic feature of speech?

A) Semantics
B) Frequency
C) Duration
D) Amplitude

Solutions: