Examtopics

コメント(8)

• 正解だと思う選択肢: BC

  C. Data protection and B. Threat detection are the two key capabilities that can help the company meet regulatory compliance requirements when deploying a conversational chatbot using Amazon SageMaker JumpStart.

  👍 4

  jove2024/11/05
• 正解だと思う選択肢: BC

  The two capabilities that the company can show compliance for are:

  C. Data protection

  B. Threat detection

  Here's a breakdown:

  Data Protection: Amazon SageMaker offers robust data protection features, including data encryption at rest and in transit. By leveraging these features, the company can ensure that customer data is handled securely and complies with relevant data privacy regulations. Threat Detection: Amazon Web Services (AWS) provides a comprehensive security suite, including services like Amazon GuardDuty and AWS Security Hub. These services can help detect and respond to potential threats, such as unauthorized access, data breaches, and malicious activity. By utilizing these services, the company can demonstrate its commitment to security and compliance.

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  eesa2024/12/09

• The correct answers for this question are: A. Auto scaling inference endpoints C. Data protection Auto scaling inference endpoints: Amazon SageMaker provides auto-scaling capabilities that automatically adjust infrastructure based on traffic changes. This helps meet availability and performance requirements, which are crucial aspects of regulatory compliance. Many regulatory frameworks require service stability and availability, making this feature an important element in demonstrating compliance. Data protection: Data protection is a core requirement in most regulatory frameworks. Amazon SageMaker offers various data protection features including data encryption, access control, and audit logging. For a chatbot handling customer data, demonstrating data protection capabilities is essential for regulatory compliance.

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  RY662024/11/19