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Free H13-311_V3.5 Exam Braindumps (page: 3)

Page 2 of 16
PDF with 60 Questions

Which of the following are subfields of AI?

  1. Backpropagation algorithm
  2. Expert system
  3. Smart finance
  4. Computer vision

Answer(s): B,D

Explanation:

Artificial intelligence is a broad field that encompasses several subfields. Two key subfields are:
Expert systems, which are computer programs that mimic the decision-making abilities of a human expert by reasoning through bodies of knowledge. These systems are used in various domains such as healthcare, engineering, and finance.
Computer vision, which enables machines to interpret and understand visual data from the world. It includes tasks such as object detection, image recognition, and video analysis.
While options like backpropagation and smart finance are related to AI, they represent specific algorithms or application areas rather than broad subfields.


Reference:

Huawei HCIA-AI Certification, AI Overview and Applications.



What are the application scenarios of computer vision?

  1. Video action analysis
  2. Image search
  3. Smart albums
  4. Voice navigation

Answer(s): A,B,C

Explanation:

Computer vision, a subfield of AI, has various application scenarios that involve the analysis and understanding of images and videos. Some key application scenarios include:
Video action analysis: Identifying and analyzing human actions or movements in videos.

Image search: Using visual information to search for similar images in large databases. Smart albums: Organizing and categorizing photos using AI-based image recognition algorithms to group them by themes, people, or events.
Voice navigation is a part of natural language processing and speech recognition, not computer vision.


Reference:

Huawei HCIA-AI Certification, AI Applications in Computer Vision.



Which of the following is NOT a commonly used AI computing framework?

  1. PyTorch
  2. MindSpore
  3. TensorFlow
  4. OpenCV

Answer(s): D

Explanation:

OpenCV is a library used primarily for computer vision tasks like image and video processing. It is not considered an AI computing framework in the same way as PyTorch, MindSpore, or TensorFlow, which are commonly used frameworks for developing AI and machine learning models. AI frameworks like PyTorch, TensorFlow, and Huawei's MindSpore are designed to facilitate the development and deployment of deep learning models.


Reference:

Huawei HCIA-AI Certification, AI Development Frameworks.



"Today's speech processing technology can achieve a recognition accuracy of over 90% in any case." Which of the following is true about this statement?

  1. This statement is incorrect. The accuracy of speech recognition is high, but not extremely high.
  2. This statement is incorrect. In many situations, noise and background sound have a huge impact on speech recognition accuracy.
  3. This statement is correct. Speech processing can achieve a high level of accuracy.
  4. This statement is correct. Speech processing has a long history and the technology is very mature.

Answer(s): B

Explanation:

While speech recognition technology has improved significantly, its accuracy can still be affected by external factors such as noise, background sound, accents, and speech clarity. Although systems can achieve over 90% accuracy under controlled conditions, the accuracy drops in noisy or complex real- world environments. Therefore, the statement that today's speech processing technology can always achieve high recognition accuracy is incorrect.
Speech recognition systems are sophisticated but still face challenges in environments with heavy noise, where the technology has difficulty interpreting speech accurately.


Reference:

Huawei HCIA-AI Certification, AI Applications in Speech Processing.






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