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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

A) TRUE
B) FALSE

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. Which of the following are object detection algorithms?

A) YOLO
B) Faster-R-CNN
C) R-CNN
D) SSD

4. 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) Apply a non-linear mapping to the result obtained after the weighted summation.
B) Normalize the attention scores to obtain attention weights.
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.

5. Which of the following methods are useful when tackling overfitting?

A) Using dropout during model training
B) Using more complex models
C) Data augmentation
D) Using parameter norm penalties

Solutions: