Amazon AI1-C01 Exam : AWS Certified AI Practitioner Exam

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Amazon AI1-C01 Exam Syllabus Topics:

Amazon AWS Certified AI Practitioner Sample Questions:

1. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company needs the LLM to produce more consistent responses to the same input prompt.
Which adjustment to an inference parameter should the company make to meet these requirements?

A) Increase the temperature value
B) Decrease the length of output tokens
C) Increase the maximum generation length
D) Decrease the temperature value

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

3. A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?

A) Internet gateway
B) AWS PrivateLink
C) Amazon CloudFront
D) Amazon Macie

4. Which option is a use case for generative AI models?

A) Enhancing database performance by using optimized indexing
B) Analyzing financial data to forecast stock market trends
C) Creating photorealistic images from text descriptions for digital marketing
D) Improving network security by using intrusion detection systems

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

Solutions: