[Feb 06, 2026] H13-321_V2.0-ENU certification guide Q&A from Training Expert Dumpexams
H13-321_V2.0-ENU Certification Overview Latest H13-321_V2.0-ENU PDF Dumps
The HCIP-AI-EI Developer V2.0 certification exam is ideal for professionals who work with Huawei's AI platforms and tools, and want to demonstrate their expertise in this field. H13-321_V2.0-ENU exam covers a wide range of topics, including AI algorithms, machine learning, deep learning, natural language processing, computer vision, and more. Candidates who pass the exam will receive a Huawei HCIP-AI-EI Developer V2.0 certification, which is recognized worldwide.
Huawei H13-321_V2.0 (HCIP-AI-EI Developer V2.0) Certification Exam is an advanced-level certification designed for professionals who seek to demonstrate their expertise in Artificial Intelligence and EI development. HCIP-AI-EI Developer V2.0 certification is designed to validate the candidate's knowledge and skills in building and deploying AI and EI solutions, and evaluating their performance.
NEW QUESTION # 85
GRU contains reset gate and ()
Answer:
Explanation:
Update gate
NEW QUESTION # 86
GMM is a linear mixture of multiple Gaussian models.
- A. True
- B. False
Answer: A
NEW QUESTION # 87
Phonetics can be divided into four major types, including articulatory phonetics, acoustic phonetics, auditory phonetics, ()
Answer:
Explanation:
phonological phonetics
NEW QUESTION # 88
The brightness of an image refers to how bright the image is. How many variations can a 4-bit image distinguish?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 89
Which of the following technologies belong to the application of image segmentation? (Multiple choice)
- A. Connected Component Segmentation
- B. Target Segmentation
- C. Threshold segmentation (method for segmentation implementation)
- D. Motion Segmentation
Answer: A,B,D
NEW QUESTION # 90
What are the evaluation indicators used in image segmentation?
Answer:
Explanation:
Dice, IOU; if there are any options, also select: pixel accuracy, average pixel accuracy, average intersection-over-union, frequency-weighted intersection-over-union
NEW QUESTION # 91
What is Gaussian distribution also called?
- A. Discrete distribution
- B. Normal distribution
- C. Random distribution
- D. Abnormal distribution
Answer: B
NEW QUESTION # 92
Which activation function is used by the forget gate in LSTM?
- A. Softmax
- B. ReLu
- C. Tanh
- D. Sigmoid
Answer: D
NEW QUESTION # 93
Which of the following is not a speech feature extraction method?
- A. LPC
- B. SVM
- C. MFCC
- D. LPCC
Answer: B
NEW QUESTION # 94
When using gensim to implement word2vec, which parameter represents the dimension of the output word vector?
- A. size
- B. hs
- C. window
- D. min_count
Answer: A
NEW QUESTION # 95
MindSpore supports automatic differentiation, automatic parallelism, and automatic ().
Answer:
Explanation:
Automatic tuning
NEW QUESTION # 96
Part-of-speech tagging is necessary for natural language processing.
- A. True
- B. False
Answer: B
NEW QUESTION # 97
The accuracy of the target detection position can be evaluated by the IoU value. The calculation method of IoU is to find the ratio of the union and intersection of the detection result and the true annotation.
- A. True
- B. False
Answer: B
NEW QUESTION # 98
Digital images can perform basic mathematical operations, that is, addition, subtraction, multiplication and division.
- A. True
- B. False
Answer: A
NEW QUESTION # 99
What is the biggest problem with parameter synthesis method?
- A. Parameters are difficult to obtain
- B. Uncertain waveform
- C. Poor sound quality
- D. Speech rate unknown
Answer: A
NEW QUESTION # 100
Regarding CBOW and Skip-Gram algorithms, which of the following statements is incorrect?
- A. Both CBOW and Skip-Gram can be used to train word embeddings, but Skip-Gram is faster than CBOW.
- B. Both the CBOW model and the skip-gram model are based on the Huffman tree.
- C. CBOW calculates the probability of a word appearing based on the n words preceding it or the n consecutive words before and after it.
- D. Skip-Gram calculates the probabilities of several words before and after a certain word.
Answer: A
NEW QUESTION # 101
If the metrics parameter is not specified during Model.compile, the loss value will not be output.
- A. True
- B. False
Answer: B
NEW QUESTION # 102
In the vehicle detection scenario of traffic law enforcement, it is better to miss the penalty for the illegal vehicle than to report it falsely, so as to avoid the wrong fine. Which indicator of the system needs to be very high?
- A. Accuracy
- B. Confidence
- C. Precision
- D. Recall
Answer: C
NEW QUESTION # 103
What is the essence of ModelArts preset models?
- A. Reinforcement Learning
- B. Transfer Learning
- C. GAN
- D. Reinforcement Learning
Answer: B
NEW QUESTION # 104
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