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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
What are tokens in the context of generative AI models?

A. Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
B. Tokens are the mathematical representations of words or concepts used in generative AI models.
C. Tokens are the specific prompts or instructions given to a generative AI model to generate output.
D. Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.

Answer: D

NEW QUESTION # 51
How can companies use large language models (LLMs) securely on Amazon Bedrock?

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

Answer: B

NEW QUESTION # 52
A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.
Which service will meet these requirements?

A. Amazon Kinesis Data Streams
B. AWS Glue
C. Amazon Rekognition
D. Amazon Lex

Answer: B

NEW QUESTION # 53
Which metric measures the runtime efficiency of operating AI models?

A. Training time for each epoch
B. Customer satisfaction score (CSAT)
C. Average response time
D. Number of training instances

Answer: C

NEW QUESTION # 54
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 the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
B. Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.
C. Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.
D. Provide the new text passage to be classified without any additional context or examples.

Answer: C

NEW QUESTION # 55
......

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Jon Bell Jon Bell

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