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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?

A. Configure model invocation logging in Amazon EventBridge.
B. Enable invocation logging in Amazon Bedrock.
C. Configure AWS Audit Manager as the logs destination for the model.
D. Configure AWS CloudTrail as the logs destination for the model.

Answer: B

NEW QUESTION # 45
A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?

A. Batch transform
B. Real-time inference
C. Serverless inference
D. Asynchronous inference

Answer: B

NEW QUESTION # 46
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?

A. Use unsupervised learning.
B. Use transfer learning.
C. Decrease the number of epochs.
D. Increase the number of epochs.

Answer: B

NEW QUESTION # 47
How can companies use large language models (LLMs) securely on Amazon Bedrock?

A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
B. Enable AWS Audit Manager for automatic model evaluation jobs.
C. Enable Amazon Bedrock automatic model evaluation jobs.
D. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.

Answer: A

NEW QUESTION # 48
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

A. Amazon SageMaker JumpStart
B. PartyRock, an Amazon Bedrock Playground
C. Amazon SageMaker endpoints
D. Amazon Personalize

Answer: C

NEW QUESTION # 49
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