熱門的H13-321_V2.5測試題庫，免費下載H13-321_V2.5學習資料得到妳想要的Huawei證書人生充滿選擇，選擇不一定給你帶來絕對的幸福，但選擇給了你絕對的機會，而一旦錯過選擇，只能凝望。 VCESoft Huawei的H13-321_V2.5考試培訓資料是每個IT人士通過IT認證必須的培訓資料，有了這份考試資料就等於手握利刃，所有的考試難題將迎刃而解。 VCESoft Huawei的H13-321_V2.5考試培訓資料是針對性強，覆蓋面廣，更新快，最完整的培訓資料，有了它，所有的IT認證都不要害怕，你都會順利通過的。 最新的 HCIP-AI EI Developer H13-321_V2.5 免費考試真題 (Q38-Q43):問題 #38
Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?
A. AAC
B. PCM
C. MP3
D. WAV
答案：B,C,D
解題說明：
Huawei Cloud's TTS service supports generating synthesized speech in multiple formats to meet different application requirements:
* WAV:High-quality, uncompressed audio format.
* MP3:Compressed format for efficient storage and streaming.
* PCM:Raw, uncompressed audio data for low-level processing.
AAC is a common format but isnotsupported by Huawei Cloud TTS as per the official specification for HCIP- AI EI Developer V2.5.
Exact Extract from HCIP-AI EI Developer V2.5:
"Huawei Cloud TTS supports output in WAV, MP3, and PCM formats to balance audio quality and storage requirements." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Text-to-Speech Service
問題 #39
In cases where the bright and dark areas of an image are too extreme, which of the following techniques can be used to improve the image?
A. Gamma correction
B. Inversion
C. Grayscale compression
D. Grayscale stretching
答案：A
解題說明：
When the contrast between bright and dark areas is extreme,gamma correctionis effective in adjusting luminance in a non-linear way to balance these extremes.
* If# < 1, dark areas are brightened, highlights are compressed.
* If# > 1, bright areas are emphasized, shadows are compressed.Other methods like grayscale stretching and compression target linear contrast changes, while inversion flips pixel values but doesn't balance extreme light/dark ranges effectively.
Exact Extract from HCIP-AI EI Developer V2.5:
"Gamma correction adjusts image brightness non-linearly, suitable for correcting overly bright or overly dark regions, improving overall visibility." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Image Enhancement
問題 #40
Which of the following statements about the levels of natural language understanding are true?
A. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
B. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
C. Pragmatic analysis is to study the influence of the language's external environment on the language users.
D. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
E. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
答案：A,C,D
解題說明：
* A:Incorrect - description given matches semantic analysis, not syntactic analysis.
* B:Incorrect - description given matches syntactic analysis, not semantic analysis.
* C:Correct - speech analysis focuses on phoneme recognition and word identification.
* D:Correct - lexical analysis identifies lexemes and retrieves their linguistic details.
* E:Correct - pragmatic analysis studies language use in context and environment.
Exact Extract from HCIP-AI EI Developer V2.5:
"Natural language understanding involves lexical, syntactic, semantic, speech, and pragmatic analyses, each focusing on different layers of language processing." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Levels of Language Understanding
問題 #41
The mAP evaluation metric in object detection combines accuracy and recall.
A. TRUE
B. FALSE
答案：B
解題說明：
ThemAP(mean Average Precision) metric in object detection combinesprecisionandrecall, not accuracy and recall. mAP is calculated by averaging the Average Precision (AP) across all classes in a dataset. Precision measures how many predicted positives are correct, while recall measures how many actual positives are identified. Accuracy, on the other hand, is a general metric for classification tasks and is less suitable for object detection where class imbalance and localization are important.
Exact Extract from HCIP-AI EI Developer V2.5:
"mAP evaluates object detection performance by considering both precision and recall across all classes, providing a balanced measure of detection accuracy and completeness." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Object Detection Metrics
問題 #42
Which of the following statements about the standard normal distribution are true?
A. The mean is 1.
B. The mean is 0.
C. The variance is 0.
D. The variance is 1.
答案：B,D
解題說明：
Astandard normal distributionis a special case of the normal distribution with:
* Mean (#) = 0
* Variance (#²) = 1This standardization is widely used in statistics and machine learning to normalize features for improved model convergence. Statements A and B are incorrect because variance is never 0 in a valid distribution, and the mean is 0, not 1.
Exact Extract from HCIP-AI EI Developer V2.5:
"The standard normal distribution is defined with # = 0 and #² = 1, providing a normalized scale for statistical analysis." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Probability and Statistics Fundamentals