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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) FALSE
B) TRUE

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

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

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

A) FALSE
B) TRUE

5. 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.)

Solutions: