H13-311_V3.5 Practice Questions

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.

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.

MindSpore provides several callback functions that can be used to monitor, modify, or control the behavior of the training process. These include:

SummaryCollector: Collects summaries such as loss and accuracy for visualization and monitoring.

ModelCheckpoint: Saves model parameters during or after training.

LossMonitor: Monitors the loss values during training and can stop training if certain conditions are met.

TrainStep is not a callback but rather a fundamental step in training.

The general quantum algorithms include:

A.  

HHL algorithm (Harrow-Hassidim-Lloyd): An algorithm designed for solving systems of linear equations using quantum computers.

B.  

Shor algorithm: A quantum algorithm for factoring large integers efficiently, which is important in cryptography.

C.  

Grover algorithm: A quantum search algorithm used for unstructured database search, providing a quadratic speedup over classical search algorithms.

The A search algorithm* is not a quantum algorithm; it is a classical algorithm used for finding the shortest path in a graph. Therefore, D is incorrect.

HCIA AI References:

Cutting-edge AI Applications: Discusses the potential of quantum algorithms in AI and other advanced computing applications.