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Amazon AWS Certified AI Practitioner Sample Questions:

1. 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) Enable AWS Audit Manager for automatic model evaluation jobs.
C) Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
D) Enable Amazon Bedrock automatic model evaluation jobs.

2. A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

A) Purchase Provisioned Throughput for Amazon Bedrock.
B) Train the model on journals and textbooks.
C) Provide labeled data with the prompt field and the completion field.
D) Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.

3. A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy.
Which additional data does the company need to meet these requirements?

A) Pairs of user messages and correct user intents
B) Pairs of user intents and correct chatbot responses
C) Pairs of user messages and correct chatbot responses
D) Pairs of chatbot responses and correct user intents

4. A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.
Which AI learning strategy provides this self-improvement capability?

A) Reinforcement learning with rewards for positive customer feedback
B) Supervised learning with a manually curated dataset of good responses and bad responses
C) Supervised learning with a continuously updated FAQ database
D) Unsupervised learning to find clusters of similar customer inquiries

5. Which metric measures the runtime efficiency of operating AI models?

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

Solutions: