Free Amazon AIF-C01 Exam Questions

Question 1

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 AWS CloudTrail as the logs destination for the model.

B : Enable invocation logging in Amazon Bedrock.

C : Configure AWS Audit Manager as the logs destination for the model.

D : Configure model invocation logging in Amazon EventBridge.

Answer: B

Question 2

A company has implemented a chatbot powered by Amazon Bedrock to handle customer inquiries and support requests. While the chatbot is effective at providing automated responses, the company has noticed that some of the replies do not consistently match its desired tone — professional, empathetic, and friendly. To maintain brand consistency and ensure a positive customer experience, the company needs to align the chatbot’s responses with its specific communication style and standards.Which approach would be most effective for ensuring that the chatbot's responses are consistently aligned with the company's tone and style?

A : The company should iteratively test and adjust the chatbot prompts to ensure that its outputs consistently reflect the company's tone and style

B : The company should set a low limit on the number of tokens, which restricts the length of the chatbot's responses, thereby making the chatbot’s responses consistent

C : The company should use batch inferencing, a method that processes multiple input requests in one go to make the chatbot’s responses consistent

D : The company should adjust the temperature to reduce the randomness and creativity of the chatbot’s responses

Answer: A

Question 3

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assistcustomers with product inquiries, order tracking, and returns. The chatbot must be able to processtext inputs and image inputs to generate responses.Which AWS service meets these requirements?

A : Amazon Bedrock

B : Amazon Comprehend

C : Amazon Q

D : Amazon Rekognition

Answer: A

Question 4

A company has implemented a chatbot powered by Amazon Bedrock to handle customer inquiries and support requests. While the chatbot is effective at providing automated responses, the company has noticed that some of the replies do not consistently match its desired tone — professional, empathetic, and friendly. To maintain brand consistency and ensure a positive customer experience, the company needs to align the chatbot’s responses with its specific communication style and standards.Which approach would be most effective for ensuring that the chatbot's responses are consistently aligned with the company's tone and style?

A : The company should iteratively test and adjust the chatbot prompts to ensure that its outputs consistently reflect the company's tone and style

B : The company should set a low limit on the number of tokens, which restricts the length of the chatbot's responses, thereby making the chatbot’s responses consistent

C : The company should use batch inferencing, a method that processes multiple input requests in one go to make the chatbot’s responses consistent

D : The company should adjust the temperature to reduce the randomness and creativity of the chatbot’s responses

Answer: A

Question 5

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from thecustomer service department. The AI practitioner wants to store invocation logs to monitor modelinput and output data.

A : Configure AWS CloudTrail as the logs destination for the model.

B : Enable model invocation logging in Amazon Bedrock.

C : Configure AWS Audit Manager as the logs destination for the model.

D : Configure model invocation logging in Amazon EventBridge.

Answer: B