Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 40 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01

Question #: 40
Topic #: 1

[All AWS Certified AI Practitioner AIF-C01 Questions]

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Choose two.)

A. Auto scaling inference endpoints
B. Threat detection
C. Data protection
D. Cost optimization
E. Loosely coupled microservices

Show Suggested Answer

Suggested Answer: BC 🗳️

by jove at Nov. 5, 2024, 11:43 p.m.

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RY66

1 week, 6 days ago

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.

upvoted 1 times

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jove

3 weeks, 6 days ago

Selected Answer: 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.

upvoted 4 times

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