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Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. Which of the following are the impacts of the development of large models?
A) Large models will completely replace small and domain-specific models
B) Data privacy and security issues will be exacerbated
C) The accuracy and efficiency of natural language processing tasks will improve
D) Model pre-training costs will be reduced
2. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?
A) Gamma correction applies only to grayscale images and does not apply to color images.
B) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
C) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
D) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
3. The mAP evaluation metric in object detection combines accuracy and recall.
A) TRUE
B) FALSE
4. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)
5. 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) 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.
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) 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.
D) Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B,C,D | Question # 3 Answer: B | Question # 4 Answer: Only visible for members | Question # 5 Answer: B,C,D |
By Breenda
