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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.
Which action must the company take to use the custom model through Amazon Bedrock?

A. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
B. Grant access to the custom model in Amazon Bedrock.
C. Register the model with the Amazon SageMaker Model Registry.
D. Purchase Provisioned Throughput for the custom model.

Answer: A

NEW QUESTION # 66
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.
The company wants to classify the sentiment of text passages as positive or negative.
Which prompt engineering strategy meets these requirements?

A. Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.
B. Provide the new text passage to be classified without any additional context or examples.
C. Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
D. Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.

Answer: A

NEW QUESTION # 67
A company needs to build its own large language model (LLM) based on only the company's private data.
The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

A. Amazon EC2 G series
B. Amazon EC2 P series
C. Amazon EC2 Trn series
D. Amazon EC2 C series

Answer: C

NEW QUESTION # 68
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.
Which solution will meet this requirement?

A. Enable model invocation logging
B. Use a different FM
C. Choose a lower temperature value
D. Create an Amazon Bedrock knowledge base

Answer: D

NEW QUESTION # 69
A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.
Which solution will meet these requirements?

A. Configure the security and compliance by using Amazon Inspector.
B. Encrypt and secure training data by using Amazon Macie.
C. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
D. Gather more data. Use Amazon Rekognition to add custom labels to the data.

Answer: C

NEW QUESTION # 70
......

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Perfect AI1-C01 - Exam AWS Certified AI Practitioner Exam Actual Tests

Pass Guaranteed Quiz Amazon - Fantastic AI1-C01 - Exam AWS Certified AI Practitioner Exam Actual Tests

Amazon AWS Certified AI Practitioner Exam Sample Questions (Q65-Q70):

Exam AI1-C01 Actual Tests Excellent Questions Pool Only at TestBraindump

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