H13-321_V2.0 Free Exam Questions and Answers PDF Updated on Dec-2025
Latest H13-321_V2.0 Exam Dumps Recently Updated 574 Questions
Huawei H13-321_V2.0 (HCIP-AI-EI Developer V2.0) Certification Exam provides professionals with the opportunity to showcase their expertise in AI development. HCIP-AI-EI Developer V2.0 certification exam is recognized globally and is considered a mark of credibility for developers. It is an ideal certification for professionals who want to differentiate themselves in the competitive field of AI development and gain recognition for their skills and knowledge. The HCIP-AI-EI Developer V2.0 Certification Exam is an excellent way for professionals to enhance their careers in the field of AI and advance their knowledge and skills of AI development.
Huawei H13-321_V2.0 (HCIP-AI-EI Developer V2.0) Certification Exam is a computer-based exam that consists of multiple-choice questions. H13-321_V2.0 exam has a total of 60 questions, which must be answered within 90 minutes. The passing score for the exam is 600 out of 1000. H13-321_V2.0 exam is available in both English and Chinese languages.
NEW QUESTION # 97
Which of the following technologies belong to the application of image segmentation? (Multiple choice)
- A. Target Segmentation
- B. Motion Segmentation
- C. Connected Component Segmentation
- D. Threshold segmentation (method for segmentation implementation)
Answer: A,B,C
NEW QUESTION # 98
What is the main function of the convolution kernel?
- A. Change image size
- B. Extracting local features
- C. Dimensionality reduction
- D. Color Enhancement
Answer: B
NEW QUESTION # 99
What kind of applications can the predictive analysis function in ModelArts automatic learning be used for?
- A. Identify flower species
- B. Segmenting objects in images
- C. Predict weather temperature changes
- D. Face recognition
Answer: C
NEW QUESTION # 100
Which of the following indicators cannot be output by the classification_report in the sklearn.metrics model evaluation indicator module?
- A. precision
- B. accuracy
- C. f1-Score
- D. recall
Answer: B
NEW QUESTION # 101
The gradient descent algorithm is used to update parameters and find the minimum point of the loss function. Its convergence point depends only on the cost function.
- A. True
- B. False
Answer: B
NEW QUESTION # 102
Natural language is a symbolic system with speech as its material shell, consisting of vocabulary and grammar. It is a natural language like Java, C++ and other languages..
- A. True
- B. False
Answer: B
NEW QUESTION # 103
Which of the following is the most important change in the CD-DNN-HMM model?
- A. Introducing Dropout
- B. Introducing contextual information
- C. Introducing more hidden layers
- D. Introducing the fully connected layer
Answer: B
NEW QUESTION # 104
What is the main function of MoXing? (Multiple choice)
- A. Simple encapsulation of deep learning engine API interfaces such as TensorFlow
- B. Huawei's self-developed deep learning tool library
- C. Huawei's self-developed deep learning engine
- D. Distributed training acceleration framework for deep learning engines such as TensorFlow, encapsulation and acceleration of API interfaces
Answer: B,D
NEW QUESTION # 105
A photo has many small noise points during storage. The best denoising effect is to perform () operation on the scanned copy.
- A. Median Filter
- B. Gaussian filtering
- C. Mean Filter
- D. Laplace filtering
Answer: A
NEW QUESTION # 106
Image filter operation is also called template operation. Commonly used template operations include template () and template ()
Answer:
Explanation:
Convolution|Sorting
NEW QUESTION # 107
Regarding the comparison between LSTM and GRU, which of the following statement is correct? (Multiple choice)
- A. LSTM can process longer sequences than GRU
- B. GRU structure is simpler than LSTM, and has one less gate than LSTM, so the calculation speed is faster than LSTM
- C. There is not much difference between standard LSTM and GRU, and both are better than ordinary RNN
- D. LSTM is controllable in terms of the memory it retains, while GRU is not
Answer: B,C,D
NEW QUESTION # 108
What is the advantage of stochastic gradient descent compared to batch gradient descent?
- A. Easier to converge (stochastic gradient descent convergence is more unstable)
- B. Stronger generalization ability
- C. Higher accuracy
- D. Faster iteration speed
Answer: D
NEW QUESTION # 109
Which of the following options is not a commonly used algorithm for keyword extraction?
- A. SSA
- B. TextRank
- C. TF-IDF
- D. LDA
Answer: A
NEW QUESTION # 110
Which of the following is the correct description of the standard normal distribution? (Multiple choice)
- A. Variance is 1
- B. Expected to be 0
- C. Expected to be 1
- D. Variance 0
Answer: A,B
NEW QUESTION # 111
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. Recall
- B. Confidence
- C. Precision
- D. Accuracy
Answer: C
NEW QUESTION # 112
What is the abbreviation of the conditional random field algorithm?
- A. GMM
- B. SVM
- C. CRF
- D. HMM
Answer: C
NEW QUESTION # 113
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Huawei H13-321_V2.0 Certification Exam covers a wide range of topics, including AI and EI concepts, data modeling and preprocessing, machine learning algorithms, deep learning frameworks, and edge computing. H13-321_V2.0 exam also covers practical applications of these technologies, such as image and speech recognition, natural language processing, chatbots, and recommendation systems. By passing the exam, candidates demonstrate their expertise in these areas and their ability to apply them to real-world scenarios.
Huawei H13-321_V2.0 Real 2025 Braindumps Mock Exam Dumps: https://www.exam4docs.com/H13-321_V2.0-study-questions.html
H13-321_V2.0 Exam Questions | Real H13-321_V2.0 Practice Dumps: https://drive.google.com/open?id=1kWj6e9nQZpEBJLMONLF4I8uaSMKo2obp
