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To handle sensitive customer data, which AWS capability is crucial when deploying a conversational AI service?

  1. A. Auto scaling

  2. B. Data protection

  3. C. User interface design

  4. D. Cost optimization

The correct answer is: B. Data protection

When deploying a conversational AI service that handles sensitive customer data, data protection is crucial. This capability ensures that the data collected, processed, and stored by the AI service is secure and compliant with relevant regulations and standards, such as GDPR or HIPAA. Data protection encompasses various practices, including encryption of data both in transit and at rest, implementing access controls to restrict who can view or manipulate the sensitive data, and maintaining data integrity. By focusing on data protection, organizations can safeguard customer information against unauthorized access and data breaches, which is paramount in building trust with users and guaranteeing compliance with legal obligations regarding data privacy. Other capabilities like auto scaling, user interface design, and cost optimization are important for overall performance, usability, and budget efficiency of the AI service but do not specifically address the need for securing sensitive customer information. Thus, while relevant in their own right, they are not the primary concern when handling sensitive data in such applications.