H13-321_V2.0 Exam PDF [2025] Tests Free Updated Today with Correct 574 Questions
Huawei H13-321_V2.0 Exam Preparation Guide and PDF Download
Huawei H13-321_V2.0 (HCIP-AI-EI Developer V2.0) Exam is an excellent opportunity for developers to enhance their skills and knowledge in the field of AI. It is a challenging exam that requires dedication, hard work, and a deep understanding of the subject matter. Passing the exam can lead to a promising career in the field of AI development, making it a valuable investment for any professional in the industry.
Huawei H13-321_V2.0 (HCIP-AI-EI Developer V2.0) Certification Exam is a globally recognized certification that validates an individual's skills and knowledge in developing Artificial Intelligence (AI) applications using Huawei's EI (Enterprise Intelligence) technologies. HCIP-AI-EI Developer V2.0 certification exam is designed for developers who are interested in designing and developing AI solutions for various industries such as finance, transportation, healthcare, and more.
NEW QUESTION # 339
The Markov characteristic in the HMM model is reflected in the fact that the occurrence of the state at the next time point is related to all historical states.
- A. True
- B. False
Answer: B
NEW QUESTION # 340
When doing speech recognition tasks, use the Seq2Seq model. The input is a () sequence and the output is a letter sequence.
Answer:
Explanation:
voice
NEW QUESTION # 341
The model parameters of the hidden Markov model include sequence length, transition probability, initial probability and emission frequency.
- A. True
- B. False
Answer: B
NEW QUESTION # 342
The semantic content of an image may be very rich. Image content detection can understand the image content more intelligently and accurately. It can generate multiple description tags based on the image content. Which scene can it be applied to? (Multiple choice)
- A. Smart album management
- B. Restoration of Blurred Images
- C. Targeted recommendation of image ads
- D. Photo retrieval and classification (generated description information can be used for image classification)
Answer: A,C,D
NEW QUESTION # 343
The hidden layer is the intermediate layer between the input and output layers in the neural network. The training data does not give the output results required by these hidden layers.
- A. False
- B. True
Answer: B
NEW QUESTION # 344
What are the jieba word segmentation modes? (Multiple choice)
- A. Precision Mode
- B. Search Engine Mode
- C. Other modes
- D. Full Mode
Answer: A,B,D
NEW QUESTION # 345
What is Gaussian distribution also called?
- A. Discrete distribution
- B. Abnormal distribution
- C. Random distribution
- D. Normal distribution
Answer: D
NEW QUESTION # 346
What are the following advantages of LBP feature descriptor? (Multiple choice)
- A. Rotational invariance
- B. Grayscale invariance
- C. Good texture feature extraction
- D. Good at extracting color features
Answer: A,B,C
NEW QUESTION # 347
The speech synthesis service can personalize the timbre, pitch, and speaking speed of the synthesized speech to meet the customized needs of customers.
- A. False
- B. True
Answer: B
NEW QUESTION # 348
Which of the following templates can achieve image sharpening?
- A. 0 1 0
1 1 1
0 1 0 - B. 0 1 0
1 3 1
0 1 0 - C. 0 -1 0
-1 6 -1 - D. 0 -1 0
-1 4 -1
0 -1 0
Answer: C
NEW QUESTION # 349
Automatic learning is a service provided by ModelArts. It can automatically design models, automatically adjust parameters, automatically train, automatically compress and deploy models based on labeled data. It does not require code writing and model development experience, and can build AI models from scratch.
- A. False
- B. True
Answer: B
NEW QUESTION # 350
In which field of a ModelArts training job can user -defined hyperparameters be set?
- A. Number of computing nodes
- B. Resource Pool
- C. Operating parameters
- D. Algorithm source
Answer: C
NEW QUESTION # 351
Please match the following artificial intelligence algorithms and their corresponding fields
Answer:
Explanation:
AlphaGo (game decision making) DeepSpeech2 (speech recognition) BERT (reading comprehension) ResNet (image recognition)
NEW QUESTION # 352
Which step does not belong to speech recognition preprocessing?
- A. Noise Reduction
- B. Silent Cutoff
- C. Standardization
- D. Deduplication
Answer: D
NEW QUESTION # 353
Both the Intel 310 and Intel 910 use the Da Vinci architecture.
- A. False
- B. True
Answer: B
NEW QUESTION # 354
When using ModelArts automatic learning to build image classification or object detection projects, which of the following image formats does the dataset not support?
- A. bmp
- B. jpg
- C. png
- D. webp
Answer: D
NEW QUESTION # 355
During a training, the ReLU neuron cannot be activated on all training data. We call this the dead ReLu problem.
- A. False
- B. True
Answer: B
NEW QUESTION # 356
ModelArts automatic learning will automatically search for the best neural network architecture, hyperparameters, and automatically perform data enhancement, without the need for user coding and parameter adjustment, and the threshold is very low.
- A. False
- B. True
Answer: B
NEW QUESTION # 357
Which of the following belongs to the language model?
- A. DT
- B. GT
- C. Adaboost
- D. N-gram
Answer: D
NEW QUESTION # 358
What problems of mean filtering can Gaussian filtering overcome?
- A. Large amount of calculation (same as C)
- B. Denoising (the main function of Gaussian filtering is noise reduction)
- C. Slow calculation (the calculation principle is the same, so the calculation speed depends on the data size)
- D. Fuzzification
Answer: D
NEW QUESTION # 359
In the data processing stage, ModelArts provides an online annotation platform. ModelArts supports multiple types of data annotation, such as images, text, and voice.
- A. False
- B. True
Answer: B
NEW QUESTION # 360
Which of the following statements about the sigmoid function is correct? (Multiple choice)
- A. Generally speaking, within 5 layers of Sigmoid network, the gradient will degenerate to 0, making it difficult to train. This phenomenon is called the vanishing gradient phenomenon.
- B. Sigmoid output is not centered on 0
- C. Sigmoid function is monotonous and continuous, easy to derive, bounded output, and the network is easy to converge.
- D. When the network is very deep, the modulus of the gradient becomes smaller and smaller
Answer: A,C,D
NEW QUESTION # 361
Which of the following is not a speech feature extraction method?
- A. LPCC
- B. SVM
- C. MFCC
- D. LPC
Answer: B
NEW QUESTION # 362
Power of Shengteng 310: ()
Answer:
Explanation:
8W
NEW QUESTION # 363
......
Verified & Correct H13-321_V2.0 Practice Test Reliable Source Dec 07, 2025 Updated: https://skillsoft.braindumpquiz.com/H13-321_V2.0-exam-material.html