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CY0-001 · Question #27

A user interface engineer adds new graphics to the latest release of an AI-integrated application. During the update, the engineer accidentally causes the model to retain on unverified data. After…

The correct answer is C. Model development life cycle. Following a secure and structured model development life cycle (MDLC) ensures controls such as data validation, verification, and testing are in place. This prevents issues like retraining on unverified data and reduces the likelihood of future model errors.

Security Architecture and Tool Sets

Question

A user interface engineer adds new graphics to the latest release of an AI-integrated application. During the update, the engineer accidentally causes the model to retain on unverified data. After the update, the model begins to return many errors. Which of the following is the best way to mitigate future errors?

Options

  • AWeb application firewall
  • BRole-based access control
  • CModel development life cycle
  • DGenerative adversarial network

How the community answered

(26 responses)
  • A
    12% (3)
  • B
    4% (1)
  • C
    77% (20)
  • D
    8% (2)

Explanation

Following a secure and structured model development life cycle (MDLC) ensures controls such as data validation, verification, and testing are in place. This prevents issues like retraining on unverified data and reduces the likelihood of future model errors.

Topics

#model development lifecycle#AI governance#unverified training data#model management

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