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CT-AI · Question #25

CT-AI Question #25: Real Exam Question with Answer & Explanation

The correct answer is D. The training, processing, and diagnostic generation are too computationally intensive for the. The syllabus highlights that on-device training and processing require considerable computational power, which may exceed the capabilities of some mobile devices: "Self-learning and continuous learning systems require large amounts of computational power, which can impact system

Question

A startup company has implemented a new facial recognition system for a banking application for mobile devices. The application is intended to learn at run-time on the device to determine if the user should be granted access. It also sends feedback over the Internet to the application developers. The application deployment resulted in continuous restarts of the mobile devices. Which of the following is the most likely cause of the failure?

Options

  • AThe feedback requires a physical connection and cannot be sent over the Internet.
  • BMobile operating systems cannot process machine learning algorithms.
  • CThe size of the application is consuming too much of the phone's storage capacity.
  • DThe training, processing, and diagnostic generation are too computationally intensive for the

Explanation

The syllabus highlights that on-device training and processing require considerable computational power, which may exceed the capabilities of some mobile devices: "Self-learning and continuous learning systems require large amounts of computational power, which can impact system performance and stability if the hardware is not powerful enough."

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